---
_id: '8674'
abstract:
- lang: eng
text: 'Extrasynaptic actions of glutamate are limited by high-affinity transporters
expressed by perisynaptic astroglial processes (PAPs): this helps maintain point-to-point
transmission in excitatory circuits. Memory formation in the brain is associated
with synaptic remodeling, but how this affects PAPs and therefore extrasynaptic
glutamate actions is poorly understood. Here, we used advanced imaging methods,
in situ and in vivo, to find that a classical synaptic memory mechanism, long-term
potentiation (LTP), triggers withdrawal of PAPs from potentiated synapses. Optical
glutamate sensors combined with patch-clamp and 3D molecular localization reveal
that LTP induction thus prompts spatial retreat of astroglial glutamate transporters,
boosting glutamate spillover and NMDA-receptor-mediated inter-synaptic cross-talk.
The LTP-triggered PAP withdrawal involves NKCC1 transporters and the actin-controlling
protein cofilin but does not depend on major Ca2+-dependent cascades in astrocytes.
We have therefore uncovered a mechanism by which a memory trace at one synapse
could alter signal handling by multiple neighboring connections.'
acknowledgement: We thank J. Angibaud for organotypic cultures and R. Chereau and
J. Tonnesen for help with the STED microscope; also D. Gonzales and the Neurocentre
Magendie INSERM U1215 Genotyping Platform, for breeding management and genotyping.
This work was supported by the Wellcome Trust Principal Fellowships 101896 and 212251,
ERC Advanced Grant 323113, ERC Proof-of-Concept Grant 767372, EC FP7 ITN 606950,
and EU CSA 811011 (D.A.R.); NRW-Rückkehrerpogramm, UCL Excellence Fellowship, German
Research Foundation (DFG) SPP1757 and SFB1089 (C.H.); Human Frontiers Science Program
(C.H., C.J.J., and H.J.); EMBO Long-Term Fellowship (L.B.); Marie Curie FP7 PIRG08-GA-2010-276995
(A.P.), ASTROMODULATION (S.R.); Equipe FRM DEQ 201 303 26519, Conseil Régional d’Aquitaine
R12056GG, INSERM (S.H.R.O.); ANR SUPERTri, ANR Castro (ANR-17-CE16-0002), R-13-BSV4-0007-01,
Université de Bordeaux, labex BRAIN (S.H.R.O. and U.V.N.); CNRS (A.P., S.H.R.O.,
and U.V.N.); HFSP, ANR CEXC, and France-BioImaging ANR-10-INSB-04 (U.V.N.); and
FP7 MemStick Project No. 201600 (M.G.S.).
article_processing_charge: No
article_type: original
author:
- first_name: Christian
full_name: Henneberger, Christian
last_name: Henneberger
- first_name: Lucie
full_name: Bard, Lucie
last_name: Bard
- first_name: Aude
full_name: Panatier, Aude
last_name: Panatier
- first_name: James P.
full_name: Reynolds, James P.
last_name: Reynolds
- first_name: Olga
full_name: Kopach, Olga
last_name: Kopach
- first_name: Nikolay I.
full_name: Medvedev, Nikolay I.
last_name: Medvedev
- first_name: Daniel
full_name: Minge, Daniel
last_name: Minge
- first_name: Michel K.
full_name: Herde, Michel K.
last_name: Herde
- first_name: Stefanie
full_name: Anders, Stefanie
last_name: Anders
- first_name: Igor
full_name: Kraev, Igor
last_name: Kraev
- first_name: Janosch P.
full_name: Heller, Janosch P.
last_name: Heller
- first_name: Sylvain
full_name: Rama, Sylvain
last_name: Rama
- first_name: Kaiyu
full_name: Zheng, Kaiyu
last_name: Zheng
- first_name: Thomas P.
full_name: Jensen, Thomas P.
last_name: Jensen
- first_name: Inmaculada
full_name: Sanchez-Romero, Inmaculada
id: 3D9C5D30-F248-11E8-B48F-1D18A9856A87
last_name: Sanchez-Romero
- first_name: Colin J.
full_name: Jackson, Colin J.
last_name: Jackson
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
- first_name: Ole Petter
full_name: Ottersen, Ole Petter
last_name: Ottersen
- first_name: Erlend Arnulf
full_name: Nagelhus, Erlend Arnulf
last_name: Nagelhus
- first_name: Stephane H.R.
full_name: Oliet, Stephane H.R.
last_name: Oliet
- first_name: Michael G.
full_name: Stewart, Michael G.
last_name: Stewart
- first_name: U. VAlentin
full_name: Nägerl, U. VAlentin
last_name: Nägerl
- first_name: 'Dmitri A. '
full_name: 'Rusakov, Dmitri A. '
last_name: Rusakov
citation:
ama: Henneberger C, Bard L, Panatier A, et al. LTP induction boosts glutamate spillover
by driving withdrawal of perisynaptic astroglia. Neuron. 2020;108(5):P919-936.E11.
doi:10.1016/j.neuron.2020.08.030
apa: Henneberger, C., Bard, L., Panatier, A., Reynolds, J. P., Kopach, O., Medvedev,
N. I., … Rusakov, D. A. (2020). LTP induction boosts glutamate spillover by driving
withdrawal of perisynaptic astroglia. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2020.08.030
chicago: Henneberger, Christian, Lucie Bard, Aude Panatier, James P. Reynolds, Olga
Kopach, Nikolay I. Medvedev, Daniel Minge, et al. “LTP Induction Boosts Glutamate
Spillover by Driving Withdrawal of Perisynaptic Astroglia.” Neuron. Elsevier,
2020. https://doi.org/10.1016/j.neuron.2020.08.030.
ieee: C. Henneberger et al., “LTP induction boosts glutamate spillover by
driving withdrawal of perisynaptic astroglia,” Neuron, vol. 108, no. 5.
Elsevier, p. P919–936.E11, 2020.
ista: Henneberger C, Bard L, Panatier A, Reynolds JP, Kopach O, Medvedev NI, Minge
D, Herde MK, Anders S, Kraev I, Heller JP, Rama S, Zheng K, Jensen TP, Sanchez-Romero
I, Jackson CJ, Janovjak HL, Ottersen OP, Nagelhus EA, Oliet SHR, Stewart MG, Nägerl
UVa, Rusakov DA. 2020. LTP induction boosts glutamate spillover by driving withdrawal
of perisynaptic astroglia. Neuron. 108(5), P919–936.E11.
mla: Henneberger, Christian, et al. “LTP Induction Boosts Glutamate Spillover by
Driving Withdrawal of Perisynaptic Astroglia.” Neuron, vol. 108, no. 5,
Elsevier, 2020, p. P919–936.E11, doi:10.1016/j.neuron.2020.08.030.
short: C. Henneberger, L. Bard, A. Panatier, J.P. Reynolds, O. Kopach, N.I. Medvedev,
D. Minge, M.K. Herde, S. Anders, I. Kraev, J.P. Heller, S. Rama, K. Zheng, T.P.
Jensen, I. Sanchez-Romero, C.J. Jackson, H.L. Janovjak, O.P. Ottersen, E.A. Nagelhus,
S.H.R. Oliet, M.G. Stewart, U.Va. Nägerl, D.A. Rusakov, Neuron 108 (2020) P919–936.E11.
date_created: 2020-10-18T22:01:38Z
date_published: 2020-12-09T00:00:00Z
date_updated: 2023-08-22T09:59:29Z
day: '09'
ddc:
- '570'
department:
- _id: HaJa
doi: 10.1016/j.neuron.2020.08.030
external_id:
isi:
- '000603428000010'
pmid:
- '32976770'
file:
- access_level: open_access
checksum: 054562bb50165ef9a1f46631c1c5e36b
content_type: application/pdf
creator: dernst
date_created: 2020-12-10T14:42:09Z
date_updated: 2020-12-10T14:42:09Z
file_id: '8939'
file_name: 2020_Neuron_Henneberger.pdf
file_size: 7518960
relation: main_file
success: 1
file_date_updated: 2020-12-10T14:42:09Z
has_accepted_license: '1'
intvolume: ' 108'
isi: 1
issue: '5'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '12'
oa: 1
oa_version: Published Version
page: P919-936.E11
pmid: 1
publication: Neuron
publication_identifier:
eissn:
- '10974199'
issn:
- '08966273'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic
astroglia
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 108
year: '2020'
...
---
_id: '8652'
abstract:
- lang: eng
text: Nature creates electrons with two values of the spin projection quantum number.
In certain applications, it is important to filter electrons with one spin projection
from the rest. Such filtering is not trivial, since spin-dependent interactions
are often weak, and cannot lead to any substantial effect. Here we propose an
efficient spin filter based upon scattering from a two-dimensional crystal, which
is made of aligned point magnets. The polarization of the outgoing electron flux
is controlled by the crystal, and reaches maximum at specific values of the parameters.
In our scheme, polarization increase is accompanied by higher reflectivity of
the crystal. High transmission is feasible in scattering from a quantum cavity
made of two crystals. Our findings can be used for studies of low-energy spin-dependent
scattering from two-dimensional ordered structures made of magnetic atoms or aligned
chiral molecules.
acknowledgement: "This work has received funding from the European Union’s Horizon
2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement
No. 754411 (A.G.V. and A.G.). M.L. acknowledges support by the Austrian Science
Fund (FWF), under project No. P29902-N27, and by the European Research Council (ERC)
Starting\r\nGrant No. 801770 (ANGULON)."
article_number: '178'
article_processing_charge: Yes
article_type: original
author:
- first_name: Areg
full_name: Ghazaryan, Areg
id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87
last_name: Ghazaryan
orcid: 0000-0001-9666-3543
- first_name: Mikhail
full_name: Lemeshko, Mikhail
id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
last_name: Lemeshko
orcid: 0000-0002-6990-7802
- first_name: Artem
full_name: Volosniev, Artem
id: 37D278BC-F248-11E8-B48F-1D18A9856A87
last_name: Volosniev
orcid: 0000-0003-0393-5525
citation:
ama: Ghazaryan A, Lemeshko M, Volosniev A. Filtering spins by scattering from a
lattice of point magnets. Communications Physics. 2020;3. doi:10.1038/s42005-020-00445-8
apa: Ghazaryan, A., Lemeshko, M., & Volosniev, A. (2020). Filtering spins by
scattering from a lattice of point magnets. Communications Physics. Springer
Nature. https://doi.org/10.1038/s42005-020-00445-8
chicago: Ghazaryan, Areg, Mikhail Lemeshko, and Artem Volosniev. “Filtering Spins
by Scattering from a Lattice of Point Magnets.” Communications Physics.
Springer Nature, 2020. https://doi.org/10.1038/s42005-020-00445-8.
ieee: A. Ghazaryan, M. Lemeshko, and A. Volosniev, “Filtering spins by scattering
from a lattice of point magnets,” Communications Physics, vol. 3. Springer
Nature, 2020.
ista: Ghazaryan A, Lemeshko M, Volosniev A. 2020. Filtering spins by scattering
from a lattice of point magnets. Communications Physics. 3, 178.
mla: Ghazaryan, Areg, et al. “Filtering Spins by Scattering from a Lattice of Point
Magnets.” Communications Physics, vol. 3, 178, Springer Nature, 2020, doi:10.1038/s42005-020-00445-8.
short: A. Ghazaryan, M. Lemeshko, A. Volosniev, Communications Physics 3 (2020).
date_created: 2020-10-13T09:48:59Z
date_published: 2020-10-09T00:00:00Z
date_updated: 2023-08-22T09:58:46Z
day: '09'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1038/s42005-020-00445-8
ec_funded: 1
external_id:
isi:
- '000581681000001'
file:
- access_level: open_access
checksum: 60cd35b99f0780acffc7b6060e49ec8b
content_type: application/pdf
creator: dernst
date_created: 2020-10-14T15:16:28Z
date_updated: 2020-10-14T15:16:28Z
file_id: '8662'
file_name: 2020_CommPhysics_Ghazaryan.pdf
file_size: 1462934
relation: main_file
success: 1
file_date_updated: 2020-10-14T15:16:28Z
has_accepted_license: '1'
intvolume: ' 3'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 26031614-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P29902
name: Quantum rotations in the presence of a many-body environment
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '801770'
name: 'Angulon: physics and applications of a new quasiparticle'
publication: Communications Physics
publication_identifier:
issn:
- 2399-3650
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Filtering spins by scattering from a lattice of point magnets
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 3
year: '2020'
...
---
_id: '8669'
abstract:
- lang: eng
text: Pancreatic islets play an essential role in regulating blood glucose level.
Although the molecular pathways underlying islet cell differentiation are beginning
to be resolved, the cellular basis of islet morphogenesis and fate allocation
remain unclear. By combining unbiased and targeted lineage tracing, we address
the events leading to islet formation in the mouse. From the statistical analysis
of clones induced at multiple embryonic timepoints, here we show that, during
the secondary transition, islet formation involves the aggregation of multiple
equipotent endocrine progenitors that transition from a phase of stochastic amplification
by cell division into a phase of sublineage restriction and limited islet fission.
Together, these results explain quantitatively the heterogeneous size distribution
and degree of polyclonality of maturing islets, as well as dispersion of progenitors
within and between islets. Further, our results show that, during the secondary
transition, α- and β-cells are generated in a contemporary manner. Together, these
findings provide insight into the cellular basis of islet development.
article_number: '5037'
article_processing_charge: No
article_type: original
author:
- first_name: Magdalena K.
full_name: Sznurkowska, Magdalena K.
last_name: Sznurkowska
- first_name: Edouard B
full_name: Hannezo, Edouard B
id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
last_name: Hannezo
orcid: 0000-0001-6005-1561
- first_name: Roberta
full_name: Azzarelli, Roberta
last_name: Azzarelli
- first_name: Lemonia
full_name: Chatzeli, Lemonia
last_name: Chatzeli
- first_name: Tatsuro
full_name: Ikeda, Tatsuro
last_name: Ikeda
- first_name: Shosei
full_name: Yoshida, Shosei
last_name: Yoshida
- first_name: Anna
full_name: Philpott, Anna
last_name: Philpott
- first_name: Benjamin D
full_name: Simons, Benjamin D
last_name: Simons
citation:
ama: Sznurkowska MK, Hannezo EB, Azzarelli R, et al. Tracing the cellular basis
of islet specification in mouse pancreas. Nature Communications. 2020;11.
doi:10.1038/s41467-020-18837-3
apa: Sznurkowska, M. K., Hannezo, E. B., Azzarelli, R., Chatzeli, L., Ikeda, T.,
Yoshida, S., … Simons, B. D. (2020). Tracing the cellular basis of islet specification
in mouse pancreas. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-020-18837-3
chicago: Sznurkowska, Magdalena K., Edouard B Hannezo, Roberta Azzarelli, Lemonia
Chatzeli, Tatsuro Ikeda, Shosei Yoshida, Anna Philpott, and Benjamin D Simons.
“Tracing the Cellular Basis of Islet Specification in Mouse Pancreas.” Nature
Communications. Springer Nature, 2020. https://doi.org/10.1038/s41467-020-18837-3.
ieee: M. K. Sznurkowska et al., “Tracing the cellular basis of islet specification
in mouse pancreas,” Nature Communications, vol. 11. Springer Nature, 2020.
ista: Sznurkowska MK, Hannezo EB, Azzarelli R, Chatzeli L, Ikeda T, Yoshida S, Philpott
A, Simons BD. 2020. Tracing the cellular basis of islet specification in mouse
pancreas. Nature Communications. 11, 5037.
mla: Sznurkowska, Magdalena K., et al. “Tracing the Cellular Basis of Islet Specification
in Mouse Pancreas.” Nature Communications, vol. 11, 5037, Springer Nature,
2020, doi:10.1038/s41467-020-18837-3.
short: M.K. Sznurkowska, E.B. Hannezo, R. Azzarelli, L. Chatzeli, T. Ikeda, S. Yoshida,
A. Philpott, B.D. Simons, Nature Communications 11 (2020).
date_created: 2020-10-18T22:01:35Z
date_published: 2020-10-07T00:00:00Z
date_updated: 2023-08-22T10:18:17Z
day: '07'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.1038/s41467-020-18837-3
external_id:
isi:
- '000577244600003'
pmid:
- '33028844'
file:
- access_level: open_access
checksum: 0ecc0eab72d2d50694852579611a6624
content_type: application/pdf
creator: dernst
date_created: 2020-10-19T11:27:46Z
date_updated: 2020-10-19T11:27:46Z
file_id: '8677'
file_name: 2020_NatureComm_Sznurkowska.pdf
file_size: 5540540
relation: main_file
success: 1
file_date_updated: 2020-10-19T11:27:46Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
eissn:
- '20411723'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Tracing the cellular basis of islet specification in mouse pancreas
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2020'
...
---
_id: '8672'
abstract:
- lang: eng
text: Cell fate transitions are key to development and homeostasis. It is thus essential
to understand the cellular mechanisms controlling fate transitions. Cell division
has been implicated in fate decisions in many stem cell types, including neuronal
and epithelial progenitors. In other stem cells, such as embryonic stem (ES) cells,
the role of division remains unclear. Here, we show that exit from naive pluripotency
in mouse ES cells generally occurs after a division. We further show that exit
timing is strongly correlated between sister cells, which remain connected by
cytoplasmic bridges long after division, and that bridge abscission progressively
accelerates as cells exit naive pluripotency. Finally, interfering with abscission
impairs naive pluripotency exit, and artificially inducing abscission accelerates
it. Altogether, our data indicate that a switch in the division machinery leading
to faster abscission regulates pluripotency exit. Our study identifies abscission
as a key cellular process coupling cell division to fate transitions.
acknowledgement: This work was supported by the Medical Research Council UK (MRC Program
award MC_UU_12018/5 ), the European Research Council (starting grant 311637 -MorphoCorDiv
and consolidator grant 820188 -NanoMechShape to E.K.P.), and the Leverhulme Trust
(Leverhulme Prize in Biological Sciences to E.K.P.). K.J.C. acknowledges support
from the Royal Society (Royal Society Research Fellowship). A.C. acknowledges support
from EMBO ( ALTF 2015-563 ), the Wellcome Trust ( 201334/Z/16/Z ), and the Fondation
Bettencourt-Schueller (Prix Jeune Chercheur, 2015).
article_processing_charge: No
article_type: original
author:
- first_name: Agathe
full_name: Chaigne, Agathe
last_name: Chaigne
- first_name: Céline
full_name: Labouesse, Céline
last_name: Labouesse
- first_name: Ian J.
full_name: White, Ian J.
last_name: White
- first_name: Meghan
full_name: Agnew, Meghan
last_name: Agnew
- first_name: Edouard B
full_name: Hannezo, Edouard B
id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
last_name: Hannezo
orcid: 0000-0001-6005-1561
- first_name: Kevin J.
full_name: Chalut, Kevin J.
last_name: Chalut
- first_name: Ewa K.
full_name: Paluch, Ewa K.
last_name: Paluch
citation:
ama: Chaigne A, Labouesse C, White IJ, et al. Abscission couples cell division to
embryonic stem cell fate. Developmental Cell. 2020;55(2):195-208. doi:10.1016/j.devcel.2020.09.001
apa: Chaigne, A., Labouesse, C., White, I. J., Agnew, M., Hannezo, E. B., Chalut,
K. J., & Paluch, E. K. (2020). Abscission couples cell division to embryonic
stem cell fate. Developmental Cell. Elsevier. https://doi.org/10.1016/j.devcel.2020.09.001
chicago: Chaigne, Agathe, Céline Labouesse, Ian J. White, Meghan Agnew, Edouard
B Hannezo, Kevin J. Chalut, and Ewa K. Paluch. “Abscission Couples Cell Division
to Embryonic Stem Cell Fate.” Developmental Cell. Elsevier, 2020. https://doi.org/10.1016/j.devcel.2020.09.001.
ieee: A. Chaigne et al., “Abscission couples cell division to embryonic stem
cell fate,” Developmental Cell, vol. 55, no. 2. Elsevier, pp. 195–208,
2020.
ista: Chaigne A, Labouesse C, White IJ, Agnew M, Hannezo EB, Chalut KJ, Paluch EK.
2020. Abscission couples cell division to embryonic stem cell fate. Developmental
Cell. 55(2), 195–208.
mla: Chaigne, Agathe, et al. “Abscission Couples Cell Division to Embryonic Stem
Cell Fate.” Developmental Cell, vol. 55, no. 2, Elsevier, 2020, pp. 195–208,
doi:10.1016/j.devcel.2020.09.001.
short: A. Chaigne, C. Labouesse, I.J. White, M. Agnew, E.B. Hannezo, K.J. Chalut,
E.K. Paluch, Developmental Cell 55 (2020) 195–208.
date_created: 2020-10-18T22:01:37Z
date_published: 2020-10-26T00:00:00Z
date_updated: 2023-08-22T10:16:58Z
day: '26'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.1016/j.devcel.2020.09.001
external_id:
isi:
- '000582501100012'
pmid:
- '32979313'
file:
- access_level: open_access
checksum: 88e1a031a61689165d19a19c2f16d795
content_type: application/pdf
creator: dernst
date_created: 2021-02-04T10:20:02Z
date_updated: 2021-02-04T10:20:02Z
file_id: '9086'
file_name: 2020_DevelopmCell_Chaigne.pdf
file_size: 6929686
relation: main_file
success: 1
file_date_updated: 2021-02-04T10:20:02Z
has_accepted_license: '1'
intvolume: ' 55'
isi: 1
issue: '2'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 195-208
pmid: 1
publication: Developmental Cell
publication_identifier:
eissn:
- '18781551'
issn:
- '15345807'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Abscission couples cell division to embryonic stem cell fate
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 55
year: '2020'
...
---
_id: '8697'
abstract:
- lang: eng
text: In the computation of the material properties of random alloys, the method
of 'special quasirandom structures' attempts to approximate the properties of
the alloy on a finite volume with higher accuracy by replicating certain statistics
of the random atomic lattice in the finite volume as accurately as possible. In
the present work, we provide a rigorous justification for a variant of this method
in the framework of the Thomas–Fermi–von Weizsäcker (TFW) model. Our approach
is based on a recent analysis of a related variance reduction method in stochastic
homogenization of linear elliptic PDEs and the locality properties of the TFW
model. Concerning the latter, we extend an exponential locality result by Nazar
and Ortner to include point charges, a result that may be of independent interest.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Julian L
full_name: Fischer, Julian L
id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87
last_name: Fischer
orcid: 0000-0002-0479-558X
- first_name: Michael
full_name: Kniely, Michael
id: 2CA2C08C-F248-11E8-B48F-1D18A9856A87
last_name: Kniely
orcid: 0000-0001-5645-4333
citation:
ama: Fischer JL, Kniely M. Variance reduction for effective energies of random lattices
in the Thomas-Fermi-von Weizsäcker model. Nonlinearity. 2020;33(11):5733-5772.
doi:10.1088/1361-6544/ab9728
apa: Fischer, J. L., & Kniely, M. (2020). Variance reduction for effective energies
of random lattices in the Thomas-Fermi-von Weizsäcker model. Nonlinearity.
IOP Publishing. https://doi.org/10.1088/1361-6544/ab9728
chicago: Fischer, Julian L, and Michael Kniely. “Variance Reduction for Effective
Energies of Random Lattices in the Thomas-Fermi-von Weizsäcker Model.” Nonlinearity.
IOP Publishing, 2020. https://doi.org/10.1088/1361-6544/ab9728.
ieee: J. L. Fischer and M. Kniely, “Variance reduction for effective energies of
random lattices in the Thomas-Fermi-von Weizsäcker model,” Nonlinearity,
vol. 33, no. 11. IOP Publishing, pp. 5733–5772, 2020.
ista: Fischer JL, Kniely M. 2020. Variance reduction for effective energies of random
lattices in the Thomas-Fermi-von Weizsäcker model. Nonlinearity. 33(11), 5733–5772.
mla: Fischer, Julian L., and Michael Kniely. “Variance Reduction for Effective Energies
of Random Lattices in the Thomas-Fermi-von Weizsäcker Model.” Nonlinearity,
vol. 33, no. 11, IOP Publishing, 2020, pp. 5733–72, doi:10.1088/1361-6544/ab9728.
short: J.L. Fischer, M. Kniely, Nonlinearity 33 (2020) 5733–5772.
date_created: 2020-10-25T23:01:16Z
date_published: 2020-11-01T00:00:00Z
date_updated: 2023-08-22T10:38:38Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1088/1361-6544/ab9728
external_id:
arxiv:
- '1906.12245'
isi:
- '000576492700001'
file:
- access_level: open_access
checksum: ed90bc6eb5f32ee6157fef7f3aabc057
content_type: application/pdf
creator: cziletti
date_created: 2020-10-27T12:09:57Z
date_updated: 2020-10-27T12:09:57Z
file_id: '8710'
file_name: 2020_Nonlinearity_Fischer.pdf
file_size: 1223899
relation: main_file
success: 1
file_date_updated: 2020-10-27T12:09:57Z
has_accepted_license: '1'
intvolume: ' 33'
isi: 1
issue: '11'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/3.0/
month: '11'
oa: 1
oa_version: Published Version
page: 5733-5772
publication: Nonlinearity
publication_identifier:
eissn:
- '13616544'
issn:
- '09517715'
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Variance reduction for effective energies of random lattices in the Thomas-Fermi-von
Weizsäcker model
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode
name: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
short: CC BY (3.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 33
year: '2020'
...
---
_id: '8680'
abstract:
- lang: eng
text: Animal development entails the organization of specific cell types in space
and time, and spatial patterns must form in a robust manner. In the zebrafish
spinal cord, neural progenitors form stereotypic patterns despite noisy morphogen
signaling and large-scale cellular rearrangements during morphogenesis and growth.
By directly measuring adhesion forces and preferences for three types of endogenous
neural progenitors, we provide evidence for the differential adhesion model in
which differences in intercellular adhesion mediate cell sorting. Cell type–specific
combinatorial expression of different classes of cadherins (N-cadherin, cadherin
11, and protocadherin 19) results in homotypic preference ex vivo and patterning
robustness in vivo. Furthermore, the differential adhesion code is regulated by
the sonic hedgehog morphogen gradient. We propose that robust patterning during
tissue morphogenesis results from interplay between adhesion-based self-organization
and morphogen-directed patterning.
acknowledgement: "We thank the members of the Megason and Heisenberg labs for critical
discussions of and technical assistance during the work and B. Appel, S. Holley,
J. Jontes, and D. Gilmour for transgenic fish. This work is supported by the Damon
Runyon Cancer Foundation, a NICHD K99 fellowship (1K99HD092623), a Travelling Fellowship
of the Company of Biologists, a Collaborative Research grant from the Burroughs
Wellcome Foundation (T.Y.-C.T.), NIH grant 01GM107733 (T.Y.-C.T. and S.G.M.), NIH
grant R01NS102322 (T.C.-C. and H.K.), and an ERC advanced grant\r\n(MECSPEC) (C.-P.H.)."
article_processing_charge: No
article_type: original
author:
- first_name: Tony Y.-C.
full_name: Tsai, Tony Y.-C.
last_name: Tsai
- first_name: Mateusz K
full_name: Sikora, Mateusz K
id: 2F74BCDE-F248-11E8-B48F-1D18A9856A87
last_name: Sikora
- first_name: Peng
full_name: Xia, Peng
id: 4AB6C7D0-F248-11E8-B48F-1D18A9856A87
last_name: Xia
orcid: 0000-0002-5419-7756
- first_name: Tugba
full_name: Colak-Champollion, Tugba
last_name: Colak-Champollion
- first_name: Holger
full_name: Knaut, Holger
last_name: Knaut
- first_name: Carl-Philipp J
full_name: Heisenberg, Carl-Philipp J
id: 39427864-F248-11E8-B48F-1D18A9856A87
last_name: Heisenberg
orcid: 0000-0002-0912-4566
- first_name: Sean G.
full_name: Megason, Sean G.
last_name: Megason
citation:
ama: Tsai TY-C, Sikora MK, Xia P, et al. An adhesion code ensures robust pattern
formation during tissue morphogenesis. Science. 2020;370(6512):113-116.
doi:10.1126/science.aba6637
apa: Tsai, T. Y.-C., Sikora, M. K., Xia, P., Colak-Champollion, T., Knaut, H., Heisenberg,
C.-P. J., & Megason, S. G. (2020). An adhesion code ensures robust pattern
formation during tissue morphogenesis. Science. American Association for
the Advancement of Science. https://doi.org/10.1126/science.aba6637
chicago: Tsai, Tony Y.-C., Mateusz K Sikora, Peng Xia, Tugba Colak-Champollion,
Holger Knaut, Carl-Philipp J Heisenberg, and Sean G. Megason. “An Adhesion Code
Ensures Robust Pattern Formation during Tissue Morphogenesis.” Science.
American Association for the Advancement of Science, 2020. https://doi.org/10.1126/science.aba6637.
ieee: T. Y.-C. Tsai et al., “An adhesion code ensures robust pattern formation
during tissue morphogenesis,” Science, vol. 370, no. 6512. American Association
for the Advancement of Science, pp. 113–116, 2020.
ista: Tsai TY-C, Sikora MK, Xia P, Colak-Champollion T, Knaut H, Heisenberg C-PJ,
Megason SG. 2020. An adhesion code ensures robust pattern formation during tissue
morphogenesis. Science. 370(6512), 113–116.
mla: Tsai, Tony Y. C., et al. “An Adhesion Code Ensures Robust Pattern Formation
during Tissue Morphogenesis.” Science, vol. 370, no. 6512, American Association
for the Advancement of Science, 2020, pp. 113–16, doi:10.1126/science.aba6637.
short: T.Y.-C. Tsai, M.K. Sikora, P. Xia, T. Colak-Champollion, H. Knaut, C.-P.J.
Heisenberg, S.G. Megason, Science 370 (2020) 113–116.
date_created: 2020-10-19T14:09:38Z
date_published: 2020-10-02T00:00:00Z
date_updated: 2023-08-22T10:36:35Z
day: '02'
department:
- _id: CaHe
doi: 10.1126/science.aba6637
ec_funded: 1
external_id:
isi:
- '000579169000053'
intvolume: ' 370'
isi: 1
issue: '6512'
keyword:
- Multidisciplinary
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/803635v1
month: '10'
oa: 1
oa_version: Preprint
page: 113-116
project:
- _id: 260F1432-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '742573'
name: Interaction and feedback between cell mechanics and fate specification in
vertebrate gastrulation
publication: Science
publication_identifier:
eissn:
- 1095-9203
issn:
- 0036-8075
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/sticking-together/
scopus_import: '1'
status: public
title: An adhesion code ensures robust pattern formation during tissue morphogenesis
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 370
year: '2020'
...
---
_id: '8707'
abstract:
- lang: eng
text: Dynamic changes in the three-dimensional (3D) organization of chromatin are
associated with central biological processes, such as transcription, replication
and development. Therefore, the comprehensive identification and quantification
of these changes is fundamental to understanding of evolutionary and regulatory
mechanisms. Here, we present Comparison of Hi-C Experiments using Structural Similarity
(CHESS), an algorithm for the comparison of chromatin contact maps and automatic
differential feature extraction. We demonstrate the robustness of CHESS to experimental
variability and showcase its biological applications on (1) interspecies comparisons
of syntenic regions in human and mouse models; (2) intraspecies identification
of conformational changes in Zelda-depleted Drosophila embryos; (3) patient-specific
aberrant chromatin conformation in a diffuse large B-cell lymphoma sample; and
(4) the systematic identification of chromatin contact differences in high-resolution
Capture-C data. In summary, CHESS is a computationally efficient method for the
comparison and classification of changes in chromatin contact data.
acknowledgement: 'Work in the Vaquerizas laboratory is funded by the Max Planck Society,
the Deutsche Forschungsgemeinschaft (DFG) Priority Programme SPP 2202 ‘Spatial Genome
Architecture in Development and Disease’ (project no. 422857230 to J.M.V.), the
DFG Clinical Research Unit CRU326 ‘Male Germ Cells: from Genes to Function’ (project
no. 329621271 to J.M.V.), the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie grant agreement no. 643062—ZENCODE-ITN
to J.M.V.) and the Medical Research Council in the UK. This research was partially
funded by the European Union’s H2020 Framework Programme through the European Research
Council (grant no. 609989 to M.A.M.-R.). We thank the support of the Spanish Ministerio
de Ciencia, Innovación y Universidades through grant no. BFU2017-85926-P to M.A.M.-R.
The Centre for Genomic Regulation thanks the support of the Ministerio de Ciencia,
Innovación y Universidades to the European Molecular Biology Laboratory partnership,
the ‘Centro de Excelencia Severo Ochoa 2013–2017’, agreement no. SEV-2012-0208,
the CERCA Programme/Generalitat de Catalunya, Spanish Ministerio de Ciencia, Innovación
y Universidades through the Instituto de Salud Carlos III, the Generalitat de Catalunya
through the Departament de Salut and Departament d’Empresa i Coneixement and cofinancing
by the Spanish Ministerio de Ciencia, Innovación y Universidades with funds from
the European Regional Development Fund corresponding to the 2014–2020 Smart Growth
Operating Program. S.G. thanks the support from the Company of Biologists (grant
no. JCSTF181158) and the European Molecular Biology Organization Short-Term Fellowship
programme.'
article_processing_charge: No
article_type: original
author:
- first_name: Silvia
full_name: ' Galan, Silvia'
last_name: ' Galan'
- first_name: Nick N
full_name: Machnik, Nick N
id: 3591A0AA-F248-11E8-B48F-1D18A9856A87
last_name: Machnik
orcid: 0000-0001-6617-9742
- first_name: Kai
full_name: Kruse, Kai
last_name: Kruse
- first_name: Noelia
full_name: Díaz, Noelia
last_name: Díaz
- first_name: Marc A
full_name: Marti-Renom, Marc A
last_name: Marti-Renom
- first_name: Juan M
full_name: Vaquerizas, Juan M
last_name: Vaquerizas
citation:
ama: Galan S, Machnik NN, Kruse K, Díaz N, Marti-Renom MA, Vaquerizas JM. CHESS
enables quantitative comparison of chromatin contact data and automatic feature
extraction. Nature Genetics. 2020;52:1247-1255. doi:10.1038/s41588-020-00712-y
apa: Galan, S., Machnik, N. N., Kruse, K., Díaz, N., Marti-Renom, M. A., & Vaquerizas,
J. M. (2020). CHESS enables quantitative comparison of chromatin contact data
and automatic feature extraction. Nature Genetics. Springer Nature. https://doi.org/10.1038/s41588-020-00712-y
chicago: Galan, Silvia, Nick N Machnik, Kai Kruse, Noelia Díaz, Marc A Marti-Renom,
and Juan M Vaquerizas. “CHESS Enables Quantitative Comparison of Chromatin Contact
Data and Automatic Feature Extraction.” Nature Genetics. Springer Nature,
2020. https://doi.org/10.1038/s41588-020-00712-y.
ieee: S. Galan, N. N. Machnik, K. Kruse, N. Díaz, M. A. Marti-Renom, and J. M.
Vaquerizas, “CHESS enables quantitative comparison of chromatin contact data and
automatic feature extraction,” Nature Genetics, vol. 52. Springer Nature,
pp. 1247–1255, 2020.
ista: Galan S, Machnik NN, Kruse K, Díaz N, Marti-Renom MA, Vaquerizas JM. 2020.
CHESS enables quantitative comparison of chromatin contact data and automatic
feature extraction. Nature Genetics. 52, 1247–1255.
mla: Galan, Silvia, et al. “CHESS Enables Quantitative Comparison of Chromatin Contact
Data and Automatic Feature Extraction.” Nature Genetics, vol. 52, Springer
Nature, 2020, pp. 1247–55, doi:10.1038/s41588-020-00712-y.
short: S. Galan, N.N. Machnik, K. Kruse, N. Díaz, M.A. Marti-Renom, J.M. Vaquerizas,
Nature Genetics 52 (2020) 1247–1255.
date_created: 2020-10-25T23:01:20Z
date_published: 2020-10-19T00:00:00Z
date_updated: 2023-08-22T10:37:10Z
day: '19'
department:
- _id: FyKo
doi: 10.1038/s41588-020-00712-y
external_id:
isi:
- '000579693500004'
pmid:
- '33077914'
intvolume: ' 52'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
page: 1247-1255
pmid: 1
publication: Nature Genetics
publication_identifier:
eissn:
- '15461718'
issn:
- '10614036'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: CHESS enables quantitative comparison of chromatin contact data and automatic
feature extraction
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 52
year: '2020'
...
---
_id: '8679'
abstract:
- lang: eng
text: A central goal of artificial intelligence in high-stakes decision-making applications
is to design a single algorithm that simultaneously expresses generalizability
by learning coherent representations of their world and interpretable explanations
of its dynamics. Here, we combine brain-inspired neural computation principles
and scalable deep learning architectures to design compact neural controllers
for task-specific compartments of a full-stack autonomous vehicle control system.
We discover that a single algorithm with 19 control neurons, connecting 32 encapsulated
input features to outputs by 253 synapses, learns to map high-dimensional inputs
into steering commands. This system shows superior generalizability, interpretability
and robustness compared with orders-of-magnitude larger black-box learning systems.
The obtained neural agents enable high-fidelity autonomy for task-specific parts
of a complex autonomous system.
article_processing_charge: No
article_type: original
author:
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Ramin
full_name: Hasani, Ramin
last_name: Hasani
- first_name: Alexander
full_name: Amini, Alexander
last_name: Amini
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Daniela
full_name: Rus, Daniela
last_name: Rus
- first_name: Radu
full_name: Grosu, Radu
last_name: Grosu
citation:
ama: Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. Neural circuit
policies enabling auditable autonomy. Nature Machine Intelligence. 2020;2:642-652.
doi:10.1038/s42256-020-00237-3
apa: Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu,
R. (2020). Neural circuit policies enabling auditable autonomy. Nature Machine
Intelligence. Springer Nature. https://doi.org/10.1038/s42256-020-00237-3
chicago: Lechner, Mathias, Ramin Hasani, Alexander Amini, Thomas A Henzinger, Daniela
Rus, and Radu Grosu. “Neural Circuit Policies Enabling Auditable Autonomy.” Nature
Machine Intelligence. Springer Nature, 2020. https://doi.org/10.1038/s42256-020-00237-3.
ieee: M. Lechner, R. Hasani, A. Amini, T. A. Henzinger, D. Rus, and R. Grosu, “Neural
circuit policies enabling auditable autonomy,” Nature Machine Intelligence,
vol. 2. Springer Nature, pp. 642–652, 2020.
ista: Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. 2020. Neural circuit
policies enabling auditable autonomy. Nature Machine Intelligence. 2, 642–652.
mla: Lechner, Mathias, et al. “Neural Circuit Policies Enabling Auditable Autonomy.”
Nature Machine Intelligence, vol. 2, Springer Nature, 2020, pp. 642–52,
doi:10.1038/s42256-020-00237-3.
short: M. Lechner, R. Hasani, A. Amini, T.A. Henzinger, D. Rus, R. Grosu, Nature
Machine Intelligence 2 (2020) 642–652.
date_created: 2020-10-19T13:46:06Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2023-08-22T10:36:06Z
day: '01'
department:
- _id: ToHe
doi: 10.1038/s42256-020-00237-3
external_id:
isi:
- '000583337200011'
intvolume: ' 2'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
page: 642-652
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication: Nature Machine Intelligence
publication_identifier:
eissn:
- 2522-5839
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/new-deep-learning-models/
scopus_import: '1'
status: public
title: Neural circuit policies enabling auditable autonomy
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 2
year: '2020'
...
---
_id: '8670'
abstract:
- lang: eng
text: The α–z Rényi relative entropies are a two-parameter family of Rényi relative
entropies that are quantum generalizations of the classical α-Rényi relative entropies.
In the work [Adv. Math. 365, 107053 (2020)], we decided the full range of (α,
z) for which the data processing inequality (DPI) is valid. In this paper, we
give algebraic conditions for the equality in DPI. For the full range of parameters
(α, z), we give necessary conditions and sufficient conditions. For most parameters,
we give equivalent conditions. This generalizes and strengthens the results of
Leditzky et al. [Lett. Math. Phys. 107, 61–80 (2017)].
acknowledgement: This research was supported by the European Union’s Horizon 2020
research and innovation program under the Marie Skłodowska-Curie Grant Agreement
No. 754411. The author would like to thank Anna Vershynina and Sarah Chehade for
their helpful comments.
article_number: '102201'
article_processing_charge: No
article_type: original
author:
- first_name: Haonan
full_name: Zhang, Haonan
id: D8F41E38-9E66-11E9-A9E2-65C2E5697425
last_name: Zhang
citation:
ama: Zhang H. Equality conditions of data processing inequality for α-z Rényi relative
entropies. Journal of Mathematical Physics. 2020;61(10). doi:10.1063/5.0022787
apa: Zhang, H. (2020). Equality conditions of data processing inequality for α-z
Rényi relative entropies. Journal of Mathematical Physics. AIP Publishing.
https://doi.org/10.1063/5.0022787
chicago: Zhang, Haonan. “Equality Conditions of Data Processing Inequality for α-z
Rényi Relative Entropies.” Journal of Mathematical Physics. AIP Publishing,
2020. https://doi.org/10.1063/5.0022787.
ieee: H. Zhang, “Equality conditions of data processing inequality for α-z Rényi
relative entropies,” Journal of Mathematical Physics, vol. 61, no. 10.
AIP Publishing, 2020.
ista: Zhang H. 2020. Equality conditions of data processing inequality for α-z Rényi
relative entropies. Journal of Mathematical Physics. 61(10), 102201.
mla: Zhang, Haonan. “Equality Conditions of Data Processing Inequality for α-z Rényi
Relative Entropies.” Journal of Mathematical Physics, vol. 61, no. 10,
102201, AIP Publishing, 2020, doi:10.1063/5.0022787.
short: H. Zhang, Journal of Mathematical Physics 61 (2020).
date_created: 2020-10-18T22:01:36Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2023-08-22T10:32:29Z
day: '01'
department:
- _id: JaMa
doi: 10.1063/5.0022787
ec_funded: 1
external_id:
arxiv:
- '2007.06644'
isi:
- '000578529200001'
intvolume: ' 61'
isi: 1
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2007.06644
month: '10'
oa: 1
oa_version: Preprint
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Journal of Mathematical Physics
publication_identifier:
issn:
- '00222488'
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Equality conditions of data processing inequality for α-z Rényi relative entropies
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 61
year: '2020'
...
---
_id: '8698'
abstract:
- lang: eng
text: The brain represents and reasons probabilistically about complex stimuli and
motor actions using a noisy, spike-based neural code. A key building block for
such neural computations, as well as the basis for supervised and unsupervised
learning, is the ability to estimate the surprise or likelihood of incoming high-dimensional
neural activity patterns. Despite progress in statistical modeling of neural responses
and deep learning, current approaches either do not scale to large neural populations
or cannot be implemented using biologically realistic mechanisms. Inspired by
the sparse and random connectivity of real neuronal circuits, we present a model
for neural codes that accurately estimates the likelihood of individual spiking
patterns and has a straightforward, scalable, efficient, learnable, and realistic
neural implementation. This model’s performance on simultaneously recorded spiking
activity of >100 neurons in the monkey visual and prefrontal cortices is comparable
with or better than that of state-of-the-art models. Importantly, the model can
be learned using a small number of samples and using a local learning rule that
utilizes noise intrinsic to neural circuits. Slower, structural changes in random
connectivity, consistent with rewiring and pruning processes, further improve
the efficiency and sparseness of the resulting neural representations. Our results
merge insights from neuroanatomy, machine learning, and theoretical neuroscience
to suggest random sparse connectivity as a key design principle for neuronal computation.
acknowledgement: We thank Udi Karpas, Roy Harpaz, Tal Tamir, Adam Haber, and Amir
Bar for discussions and suggestions; and especially Oren Forkosh and Walter Senn
for invaluable discussions of the learning rule. This work was supported by European
Research Council Grant 311238 (to E.S.) and Israel Science Foundation Grant 1629/12
(to E.S.); as well as research support from Martin Kushner Schnur and Mr. and Mrs.
Lawrence Feis (E.S.); National Institute of Mental Health Grant R01MH109180 (to
R.K.); a Pew Scholarship in Biomedical Sciences (to R.K.); Simons Collaboration
on the Global Brain Grant 542997 (to R.K. and E.S.); and a CRCNS (Collaborative
Research in Computational Neuroscience) grant (to R.K. and E.S.).
article_processing_charge: No
article_type: original
author:
- first_name: Ori
full_name: Maoz, Ori
last_name: Maoz
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Mohamad Saleh
full_name: Esteki, Mohamad Saleh
last_name: Esteki
- first_name: Roozbeh
full_name: Kiani, Roozbeh
last_name: Kiani
- first_name: Elad
full_name: Schneidman, Elad
last_name: Schneidman
citation:
ama: Maoz O, Tkačik G, Esteki MS, Kiani R, Schneidman E. Learning probabilistic
neural representations with randomly connected circuits. Proceedings of the
National Academy of Sciences of the United States of America. 2020;117(40):25066-25073.
doi:10.1073/pnas.1912804117
apa: Maoz, O., Tkačik, G., Esteki, M. S., Kiani, R., & Schneidman, E. (2020).
Learning probabilistic neural representations with randomly connected circuits.
Proceedings of the National Academy of Sciences of the United States of America.
National Academy of Sciences. https://doi.org/10.1073/pnas.1912804117
chicago: Maoz, Ori, Gašper Tkačik, Mohamad Saleh Esteki, Roozbeh Kiani, and Elad
Schneidman. “Learning Probabilistic Neural Representations with Randomly Connected
Circuits.” Proceedings of the National Academy of Sciences of the United States
of America. National Academy of Sciences, 2020. https://doi.org/10.1073/pnas.1912804117.
ieee: O. Maoz, G. Tkačik, M. S. Esteki, R. Kiani, and E. Schneidman, “Learning probabilistic
neural representations with randomly connected circuits,” Proceedings of the
National Academy of Sciences of the United States of America, vol. 117, no.
40. National Academy of Sciences, pp. 25066–25073, 2020.
ista: Maoz O, Tkačik G, Esteki MS, Kiani R, Schneidman E. 2020. Learning probabilistic
neural representations with randomly connected circuits. Proceedings of the National
Academy of Sciences of the United States of America. 117(40), 25066–25073.
mla: Maoz, Ori, et al. “Learning Probabilistic Neural Representations with Randomly
Connected Circuits.” Proceedings of the National Academy of Sciences of the
United States of America, vol. 117, no. 40, National Academy of Sciences,
2020, pp. 25066–73, doi:10.1073/pnas.1912804117.
short: O. Maoz, G. Tkačik, M.S. Esteki, R. Kiani, E. Schneidman, Proceedings of
the National Academy of Sciences of the United States of America 117 (2020) 25066–25073.
date_created: 2020-10-25T23:01:16Z
date_published: 2020-10-06T00:00:00Z
date_updated: 2023-08-22T12:11:23Z
day: '06'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1073/pnas.1912804117
external_id:
isi:
- '000579045200012'
pmid:
- '32948691'
file:
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checksum: c6a24fdecf3f28faf447078e7a274a88
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creator: cziletti
date_created: 2020-10-27T14:57:50Z
date_updated: 2020-10-27T14:57:50Z
file_id: '8713'
file_name: 2020_PNAS_Maoz.pdf
file_size: 1755359
relation: main_file
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issue: '40'
language:
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license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '10'
oa: 1
oa_version: Published Version
page: 25066-25073
pmid: 1
publication: Proceedings of the National Academy of Sciences of the United States
of America
publication_identifier:
eissn:
- '10916490'
issn:
- '00278424'
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning probabilistic neural representations with randomly connected circuits
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 117
year: '2020'
...
---
_id: '8704'
abstract:
- lang: eng
text: Traditional robotic control suits require profound task-specific knowledge
for designing, building and testing control software. The rise of Deep Learning
has enabled end-to-end solutions to be learned entirely from data, requiring minimal
knowledge about the application area. We design a learning scheme to train end-to-end
linear dynamical systems (LDS)s by gradient descent in imitation learning robotic
domains. We introduce a new regularization loss component together with a learning
algorithm that improves the stability of the learned autonomous system, by forcing
the eigenvalues of the internal state updates of an LDS to be negative reals.
We evaluate our approach on a series of real-life and simulated robotic experiments,
in comparison to linear and nonlinear Recurrent Neural Network (RNN) architectures.
Our results show that our stabilizing method significantly improves test performance
of LDS, enabling such linear models to match the performance of contemporary nonlinear
RNN architectures. A video of the obstacle avoidance performance of our method
on a mobile robot, in unseen environments, compared to other methods can be viewed
at https://youtu.be/mhEsCoNao5E.
acknowledgement: M.L. is supported in parts by the Austrian Science Fund (FWF) under
grant Z211-N23 (Wittgenstein Award). R.H., and R.G. are partially supported by the
Horizon-2020 ECSELProject grant No. 783163 (iDev40), and the Austrian Research Promotion
Agency (FFG), Project No. 860424. R.H. and D.R. is partially supported by the Boeing
Company.
alternative_title:
- ICRA
article_processing_charge: No
author:
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Ramin
full_name: Hasani, Ramin
last_name: Hasani
- first_name: Daniela
full_name: Rus, Daniela
last_name: Rus
- first_name: Radu
full_name: Grosu, Radu
last_name: Grosu
citation:
ama: 'Lechner M, Hasani R, Rus D, Grosu R. Gershgorin loss stabilizes the recurrent
neural network compartment of an end-to-end robot learning scheme. In: Proceedings
- IEEE International Conference on Robotics and Automation. IEEE; 2020:5446-5452.
doi:10.1109/ICRA40945.2020.9196608'
apa: 'Lechner, M., Hasani, R., Rus, D., & Grosu, R. (2020). Gershgorin loss
stabilizes the recurrent neural network compartment of an end-to-end robot learning
scheme. In Proceedings - IEEE International Conference on Robotics and Automation
(pp. 5446–5452). Paris, France: IEEE. https://doi.org/10.1109/ICRA40945.2020.9196608'
chicago: Lechner, Mathias, Ramin Hasani, Daniela Rus, and Radu Grosu. “Gershgorin
Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-End Robot
Learning Scheme.” In Proceedings - IEEE International Conference on Robotics
and Automation, 5446–52. IEEE, 2020. https://doi.org/10.1109/ICRA40945.2020.9196608.
ieee: M. Lechner, R. Hasani, D. Rus, and R. Grosu, “Gershgorin loss stabilizes the
recurrent neural network compartment of an end-to-end robot learning scheme,”
in Proceedings - IEEE International Conference on Robotics and Automation,
Paris, France, 2020, pp. 5446–5452.
ista: 'Lechner M, Hasani R, Rus D, Grosu R. 2020. Gershgorin loss stabilizes the
recurrent neural network compartment of an end-to-end robot learning scheme. Proceedings
- IEEE International Conference on Robotics and Automation. ICRA: International
Conference on Robotics and Automation, ICRA, , 5446–5452.'
mla: Lechner, Mathias, et al. “Gershgorin Loss Stabilizes the Recurrent Neural Network
Compartment of an End-to-End Robot Learning Scheme.” Proceedings - IEEE International
Conference on Robotics and Automation, IEEE, 2020, pp. 5446–52, doi:10.1109/ICRA40945.2020.9196608.
short: M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, Proceedings - IEEE International
Conference on Robotics and Automation, IEEE, 2020, pp. 5446–5452.
conference:
end_date: 2020-08-31
location: Paris, France
name: 'ICRA: International Conference on Robotics and Automation'
start_date: 2020-05-31
date_created: 2020-10-25T23:01:19Z
date_published: 2020-05-01T00:00:00Z
date_updated: 2023-08-22T10:40:15Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1109/ICRA40945.2020.9196608
external_id:
isi:
- '000712319503110'
file:
- access_level: open_access
checksum: fccf7b986ac78046918a298cc6849a50
content_type: application/pdf
creator: dernst
date_created: 2020-11-06T10:58:49Z
date_updated: 2020-11-06T10:58:49Z
file_id: '8733'
file_name: 2020_ICRA_Lechner.pdf
file_size: 1070010
relation: main_file
success: 1
file_date_updated: 2020-11-06T10:58:49Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 5446-5452
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication: Proceedings - IEEE International Conference on Robotics and Automation
publication_identifier:
isbn:
- '9781728173955'
issn:
- '10504729'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end
robot learning scheme
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2020'
...
---
_id: '8700'
abstract:
- lang: eng
text: Translation termination is a finishing step of protein biosynthesis. The significant
role in this process belongs not only to protein factors of translation termination
but also to the nearest nucleotide environment of stop codons. There are numerous
descriptions of stop codons readthrough, which is due to specific nucleotide sequences
behind them. However, represented data are segmental and don’t explain the mechanism
of the nucleotide context influence on translation termination. It is well known
that stop codon UAA usage is preferential for A/T-rich genes, and UAG, UGA—for
G/C-rich genes, which is related to an expression level of these genes. We investigated
the connection between a frequency of nucleotides occurrence in 3' area of stop
codons in the human genome and their influence on translation termination efficiency.
We found that 3' context motif, which is cognate to the sequence of a stop codon,
stimulates translation termination. At the same time, the nucleotide composition
of 3' sequence that differs from stop codon, decreases translation termination
efficiency.
acknowledgement: We would like to thank the staff of CCU Genome for sequencing, Tat’yana
Pestova, Christopher Helen, and Lyudmila Yur’evna Frolova for the plasmids provided,
as well as the laboratory staff for productive discussion of the results. We also
thank former laboratory employees Yuliya Vladimirovna Bocharova and Polina Nikolaevna
Kryuchkova for the exceptional contribution to the present work.
article_processing_charge: No
article_type: original
author:
- first_name: E. E.
full_name: Sokolova, E. E.
last_name: Sokolova
- first_name: Petr
full_name: Vlasov, Petr
id: 38BB9AC4-F248-11E8-B48F-1D18A9856A87
last_name: Vlasov
- first_name: T. V.
full_name: Egorova, T. V.
last_name: Egorova
- first_name: A. V.
full_name: Shuvalov, A. V.
last_name: Shuvalov
- first_name: E. Z.
full_name: Alkalaeva, E. Z.
last_name: Alkalaeva
citation:
ama: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. The influence
of A/G composition of 3’ stop codon contexts on translation termination efficiency
in eukaryotes. Molecular Biology. 2020;54(5):739-748. doi:10.1134/S0026893320050088
apa: Sokolova, E. E., Vlasov, P., Egorova, T. V., Shuvalov, A. V., & Alkalaeva,
E. Z. (2020). The influence of A/G composition of 3’ stop codon contexts on translation
termination efficiency in eukaryotes. Molecular Biology. Springer Nature.
https://doi.org/10.1134/S0026893320050088
chicago: Sokolova, E. E., Petr Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z.
Alkalaeva. “The Influence of A/G Composition of 3’ Stop Codon Contexts on Translation
Termination Efficiency in Eukaryotes.” Molecular Biology. Springer Nature,
2020. https://doi.org/10.1134/S0026893320050088.
ieee: E. E. Sokolova, P. Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z. Alkalaeva,
“The influence of A/G composition of 3’ stop codon contexts on translation termination
efficiency in eukaryotes,” Molecular Biology, vol. 54, no. 5. Springer
Nature, pp. 739–748, 2020.
ista: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. 2020. The influence
of A/G composition of 3’ stop codon contexts on translation termination efficiency
in eukaryotes. Molecular Biology. 54(5), 739–748.
mla: Sokolova, E. E., et al. “The Influence of A/G Composition of 3’ Stop Codon
Contexts on Translation Termination Efficiency in Eukaryotes.” Molecular Biology,
vol. 54, no. 5, Springer Nature, 2020, pp. 739–48, doi:10.1134/S0026893320050088.
short: E.E. Sokolova, P. Vlasov, T.V. Egorova, A.V. Shuvalov, E.Z. Alkalaeva, Molecular
Biology 54 (2020) 739–748.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2023-08-22T10:39:38Z
day: '01'
department:
- _id: FyKo
doi: 10.1134/S0026893320050088
external_id:
isi:
- '000579441200009'
intvolume: ' 54'
isi: 1
issue: '5'
language:
- iso: eng
month: '09'
oa_version: None
page: 739-748
publication: Molecular Biology
publication_identifier:
eissn:
- '16083245'
issn:
- '00268933'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '8701'
relation: original
status: public
scopus_import: '1'
status: public
title: The influence of A/G composition of 3' stop codon contexts on translation termination
efficiency in eukaryotes
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 54
year: '2020'
...
---
_id: '8701'
abstract:
- lang: eng
text: Translation termination is a finishing step of protein biosynthesis. The significant
role in this process belongs not only to protein factors of translation termination
but also to the nearest nucleotide environment of stop codons. There are numerous
descriptions of stop codons readthrough, which is due to specific nucleotide sequences
behind them. However, represented data are segmental and don’t explain the mechanism
of the nucleotide context influence on translation termination. It is well known
that stop codon UAA usage is preferential for A/T-rich genes, and UAG, UGA—for
G/C-rich genes, which is related to an expression level of these genes. We investigated
the connection between a frequency of nucleotides occurrence in 3' area of stop
codons in the human genome and their influence on translation termination efficiency.
We found that 3' context motif, which is cognate to the sequence of a stop codon,
stimulates translation termination. At the same time, the nucleotide composition
of 3' sequence that differs from stop codon, decreases translation termination
efficiency.
article_processing_charge: No
article_type: original
author:
- first_name: E. E.
full_name: Sokolova, E. E.
last_name: Sokolova
- first_name: Petr
full_name: Vlasov, Petr
id: 38BB9AC4-F248-11E8-B48F-1D18A9856A87
last_name: Vlasov
- first_name: T. V.
full_name: Egorova, T. V.
last_name: Egorova
- first_name: A. V.
full_name: Shuvalov, A. V.
last_name: Shuvalov
- first_name: E. Z.
full_name: Alkalaeva, E. Z.
last_name: Alkalaeva
citation:
ama: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. The influence
of A/G composition of 3’ stop codon contexts on translation termination efficiency
in eukaryotes. Molekuliarnaia biologiia. 2020;54(5):837-848. doi:10.31857/S0026898420050080
apa: Sokolova, E. E., Vlasov, P., Egorova, T. V., Shuvalov, A. V., & Alkalaeva,
E. Z. (2020). The influence of A/G composition of 3’ stop codon contexts on translation
termination efficiency in eukaryotes. Molekuliarnaia biologiia. Russian
Academy of Sciences. https://doi.org/10.31857/S0026898420050080
chicago: Sokolova, E. E., Petr Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z.
Alkalaeva. “The influence of A/G composition of 3’ stop codon contexts on translation
termination efficiency in eukaryotes.” Molekuliarnaia biologiia. Russian
Academy of Sciences, 2020. https://doi.org/10.31857/S0026898420050080.
ieee: E. E. Sokolova, P. Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z. Alkalaeva,
“The influence of A/G composition of 3’ stop codon contexts on translation termination
efficiency in eukaryotes,” Molekuliarnaia biologiia, vol. 54, no. 5. Russian
Academy of Sciences, pp. 837–848, 2020.
ista: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. 2020. The influence
of A/G composition of 3’ stop codon contexts on translation termination efficiency
in eukaryotes. Molekuliarnaia biologiia. 54(5), 837–848.
mla: Sokolova, E. E., et al. “The influence of A/G composition of 3’ stop codon
contexts on translation termination efficiency in eukaryotes.” Molekuliarnaia
biologiia, vol. 54, no. 5, Russian Academy of Sciences, 2020, pp. 837–48,
doi:10.31857/S0026898420050080.
short: E.E. Sokolova, P. Vlasov, T.V. Egorova, A.V. Shuvalov, E.Z. Alkalaeva, Molekuliarnaia
biologiia 54 (2020) 837–848.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2023-08-22T10:39:37Z
day: '01'
department:
- _id: FyKo
doi: 10.31857/S0026898420050080
external_id:
pmid:
- '33009793'
intvolume: ' 54'
issue: '5'
language:
- iso: rus
month: '09'
oa_version: None
page: 837-848
pmid: 1
publication: Molekuliarnaia biologiia
publication_identifier:
issn:
- '00268984'
publication_status: published
publisher: Russian Academy of Sciences
quality_controlled: '1'
related_material:
record:
- id: '8700'
relation: translation
status: public
scopus_import: '1'
status: public
title: The influence of A/G composition of 3' stop codon contexts on translation termination
efficiency in eukaryotes
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 54
year: '2020'
...
---
_id: '8699'
abstract:
- lang: eng
text: In the high spin–orbit-coupled Sr2IrO4, the high sensitivity of the ground
state to the details of the local lattice structure shows a large potential for
the manipulation of the functional properties by inducing local lattice distortions.
We use epitaxial strain to modify the Ir–O bond geometry in Sr2IrO4 and perform
momentum-dependent resonant inelastic X-ray scattering (RIXS) at the metal and
at the ligand sites to unveil the response of the low-energy elementary excitations.
We observe that the pseudospin-wave dispersion for tensile-strained Sr2IrO4 films
displays large softening along the [h,0] direction, while along the [h,h] direction
it shows hardening. This evolution reveals a renormalization of the magnetic interactions
caused by a strain-driven cross-over from anisotropic to isotropic interactions
between the magnetic moments. Moreover, we detect dispersive electron–hole pair
excitations which shift to lower (higher) energies upon compressive (tensile)
strain, manifesting a reduction (increase) in the size of the charge gap. This
behavior shows an intimate coupling between charge excitations and lattice distortions
in Sr2IrO4, originating from the modified hopping elements between the t2g orbitals.
Our work highlights the central role played by the lattice degrees of freedom
in determining both the pseudospin and charge excitations of Sr2IrO4 and provides
valuable information toward the control of the ground state of complex oxides
in the presence of high spin–orbit coupling.
acknowledgement: 'We gratefully acknowledge C. Sahle for experimental support at the
ID20 beamline of the ESRF. The soft X-ray experiments were carried out at the ADRESS
beamline of the Swiss Light Source, Paul Scherrer Institut (PSI). E. Paris and T.S.
thank X. Lu and C. Monney for valuable discussions. The work at PSI is supported
by the Swiss National Science Foundation (SNSF) through Project 200021_178867, the
NCCR (National Centre of Competence in Research) MARVEL (Materials’ Revolution:
Computational Design and Discovery of Novel Materials) and the Sinergia network
Mott Physics Beyond the Heisenberg Model (MPBH) (SNSF Research Grants CRSII2_160765/1
and CRSII2_141962). K.W. acknowledges support by the Narodowe Centrum Nauki Projects
2016/22/E/ST3/00560 and 2016/23/B/ST3/00839. E.M.P. and M.N. acknowledge funding
from the European Union’s Horizon 2020 research and innovation programme under the
Marie Sklodowska-Curie Grant Agreements 754411 and 701647, respectively. M.R. was
supported by the Swiss National Science Foundation under Project 200021 – 182695.
This research used resources of the APS, a U.S. Department of Energy (DOE) Office
of Science User Facility operated for the DOE Office of Science by Argonne National
Laboratory under Contract DE-AC02-06CH11357.'
article_processing_charge: No
article_type: original
author:
- first_name: Eugenio
full_name: Paris, Eugenio
last_name: Paris
- first_name: Yi
full_name: Tseng, Yi
last_name: Tseng
- first_name: Ekaterina
full_name: Paerschke, Ekaterina
id: 8275014E-6063-11E9-9B7F-6338E6697425
last_name: Paerschke
orcid: 0000-0003-0853-8182
- first_name: Wenliang
full_name: Zhang, Wenliang
last_name: Zhang
- first_name: Mary H
full_name: Upton, Mary H
last_name: Upton
- first_name: Anna
full_name: Efimenko, Anna
last_name: Efimenko
- first_name: Katharina
full_name: Rolfs, Katharina
last_name: Rolfs
- first_name: Daniel E
full_name: McNally, Daniel E
last_name: McNally
- first_name: Laura
full_name: Maurel, Laura
last_name: Maurel
- first_name: Muntaser
full_name: Naamneh, Muntaser
last_name: Naamneh
- first_name: Marco
full_name: Caputo, Marco
last_name: Caputo
- first_name: Vladimir N
full_name: Strocov, Vladimir N
last_name: Strocov
- first_name: Zhiming
full_name: Wang, Zhiming
last_name: Wang
- first_name: Diego
full_name: Casa, Diego
last_name: Casa
- first_name: Christof W
full_name: Schneider, Christof W
last_name: Schneider
- first_name: Ekaterina
full_name: Pomjakushina, Ekaterina
last_name: Pomjakushina
- first_name: Krzysztof
full_name: Wohlfeld, Krzysztof
last_name: Wohlfeld
- first_name: Milan
full_name: Radovic, Milan
last_name: Radovic
- first_name: Thorsten
full_name: Schmitt, Thorsten
last_name: Schmitt
citation:
ama: Paris E, Tseng Y, Paerschke E, et al. Strain engineering of the charge and
spin-orbital interactions in Sr2IrO4. Proceedings of the National Academy of
Sciences of the United States of America. 2020;117(40):24764-24770. doi:10.1073/pnas.2012043117
apa: Paris, E., Tseng, Y., Paerschke, E., Zhang, W., Upton, M. H., Efimenko, A.,
… Schmitt, T. (2020). Strain engineering of the charge and spin-orbital interactions
in Sr2IrO4. Proceedings of the National Academy of Sciences of the United States
of America. National Academy of Sciences. https://doi.org/10.1073/pnas.2012043117
chicago: Paris, Eugenio, Yi Tseng, Ekaterina Paerschke, Wenliang Zhang, Mary H Upton,
Anna Efimenko, Katharina Rolfs, et al. “Strain Engineering of the Charge and Spin-Orbital
Interactions in Sr2IrO4.” Proceedings of the National Academy of Sciences of
the United States of America. National Academy of Sciences, 2020. https://doi.org/10.1073/pnas.2012043117.
ieee: E. Paris et al., “Strain engineering of the charge and spin-orbital
interactions in Sr2IrO4,” Proceedings of the National Academy of Sciences of
the United States of America, vol. 117, no. 40. National Academy of Sciences,
pp. 24764–24770, 2020.
ista: Paris E, Tseng Y, Paerschke E, Zhang W, Upton MH, Efimenko A, Rolfs K, McNally
DE, Maurel L, Naamneh M, Caputo M, Strocov VN, Wang Z, Casa D, Schneider CW, Pomjakushina
E, Wohlfeld K, Radovic M, Schmitt T. 2020. Strain engineering of the charge and
spin-orbital interactions in Sr2IrO4. Proceedings of the National Academy of Sciences
of the United States of America. 117(40), 24764–24770.
mla: Paris, Eugenio, et al. “Strain Engineering of the Charge and Spin-Orbital Interactions
in Sr2IrO4.” Proceedings of the National Academy of Sciences of the United
States of America, vol. 117, no. 40, National Academy of Sciences, 2020, pp.
24764–70, doi:10.1073/pnas.2012043117.
short: E. Paris, Y. Tseng, E. Paerschke, W. Zhang, M.H. Upton, A. Efimenko, K. Rolfs,
D.E. McNally, L. Maurel, M. Naamneh, M. Caputo, V.N. Strocov, Z. Wang, D. Casa,
C.W. Schneider, E. Pomjakushina, K. Wohlfeld, M. Radovic, T. Schmitt, Proceedings
of the National Academy of Sciences of the United States of America 117 (2020)
24764–24770.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-10-06T00:00:00Z
date_updated: 2023-08-22T12:11:52Z
day: '06'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1073/pnas.2012043117
ec_funded: 1
external_id:
arxiv:
- '2009.12262'
isi:
- '000579059100029'
pmid:
- '32958669'
file:
- access_level: open_access
checksum: 1638fa36b442e2868576c6dd7d6dc505
content_type: application/pdf
creator: cziletti
date_created: 2020-10-28T11:53:12Z
date_updated: 2020-10-28T11:53:12Z
file_id: '8715'
file_name: 2020_PNAS_Paris.pdf
file_size: 1176522
relation: main_file
success: 1
file_date_updated: 2020-10-28T11:53:12Z
has_accepted_license: '1'
intvolume: ' 117'
isi: 1
issue: '40'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 24764-24770
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Proceedings of the National Academy of Sciences of the United States
of America
publication_identifier:
eissn:
- '10916490'
issn:
- '00278424'
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Strain engineering of the charge and spin-orbital interactions in Sr2IrO4
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 117
year: '2020'
...
---
_id: '8737'
abstract:
- lang: eng
text: Mitochondrial complex I couples NADH:ubiquinone oxidoreduction to proton pumping
by an unknown mechanism. Here, we present cryo-electron microscopy structures
of ovine complex I in five different conditions, including turnover, at resolutions
up to 2.3 to 2.5 angstroms. Resolved water molecules allowed us to experimentally
define the proton translocation pathways. Quinone binds at three positions along
the quinone cavity, as does the inhibitor rotenone that also binds within subunit
ND4. Dramatic conformational changes around the quinone cavity couple the redox
reaction to proton translocation during open-to-closed state transitions of the
enzyme. In the induced deactive state, the open conformation is arrested by the
ND6 subunit. We propose a detailed molecular coupling mechanism of complex I,
which is an unexpected combination of conformational changes and electrostatic
interactions.
acknowledged_ssus:
- _id: LifeSc
- _id: EM-Fac
acknowledgement: We thank J. Novacek (CEITEC Brno) and V.-V. Hodirnau (IST Austria)
for their help with collecting cryo-EM datasets. We thank the IST Life Science and
Electron Microscopy Facilities for providing equipment. This work has been supported
by iNEXT,project number 653706, funded by the Horizon 2020 program of the European
Union. This article reflects only the authors’view,and the European Commission is
not responsible for any use that may be made of the information it contains. CIISB
research infrastructure project LM2015043 funded by MEYS CR is gratefully acknowledged
for the financial support of the measurements at the CF Cryo-electron Microscopy
and Tomography CEITEC MU.This project has received funding from the European Union’s
Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant
Agreement no. 665385
article_number: eabc4209
article_processing_charge: No
article_type: original
author:
- first_name: Domen
full_name: Kampjut, Domen
id: 37233050-F248-11E8-B48F-1D18A9856A87
last_name: Kampjut
- first_name: Leonid A
full_name: Sazanov, Leonid A
id: 338D39FE-F248-11E8-B48F-1D18A9856A87
last_name: Sazanov
orcid: 0000-0002-0977-7989
citation:
ama: Kampjut D, Sazanov LA. The coupling mechanism of mammalian respiratory complex
I. Science. 2020;370(6516). doi:10.1126/science.abc4209
apa: Kampjut, D., & Sazanov, L. A. (2020). The coupling mechanism of mammalian
respiratory complex I. Science. American Association for the Advancement
of Science. https://doi.org/10.1126/science.abc4209
chicago: Kampjut, Domen, and Leonid A Sazanov. “The Coupling Mechanism of Mammalian
Respiratory Complex I.” Science. American Association for the Advancement
of Science, 2020. https://doi.org/10.1126/science.abc4209.
ieee: D. Kampjut and L. A. Sazanov, “The coupling mechanism of mammalian respiratory
complex I,” Science, vol. 370, no. 6516. American Association for the Advancement
of Science, 2020.
ista: Kampjut D, Sazanov LA. 2020. The coupling mechanism of mammalian respiratory
complex I. Science. 370(6516), eabc4209.
mla: Kampjut, Domen, and Leonid A. Sazanov. “The Coupling Mechanism of Mammalian
Respiratory Complex I.” Science, vol. 370, no. 6516, eabc4209, American
Association for the Advancement of Science, 2020, doi:10.1126/science.abc4209.
short: D. Kampjut, L.A. Sazanov, Science 370 (2020).
date_created: 2020-11-08T23:01:23Z
date_published: 2020-10-30T00:00:00Z
date_updated: 2023-08-22T12:35:38Z
day: '30'
ddc:
- '572'
department:
- _id: LeSa
doi: 10.1126/science.abc4209
ec_funded: 1
external_id:
isi:
- '000583031800004'
pmid:
- '32972993'
file:
- access_level: open_access
checksum: 658ba90979ca9528a2efdfac8547047a
content_type: application/pdf
creator: lsazanov
date_created: 2020-11-26T18:47:58Z
date_updated: 2020-11-26T18:47:58Z
file_id: '8820'
file_name: Full_manuscript_with_SI_opt_red.pdf
file_size: 7618987
relation: main_file
success: 1
file_date_updated: 2020-11-26T18:47:58Z
has_accepted_license: '1'
intvolume: ' 370'
isi: 1
issue: '6516'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
pmid: 1
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Science
publication_identifier:
eissn:
- '10959203'
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: The coupling mechanism of mammalian respiratory complex I
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 370
year: '2020'
...
---
_id: '8722'
abstract:
- lang: eng
text: "Load imbalance pervasively exists in distributed deep learning training systems,
either caused by the inherent imbalance in learned tasks or by the system itself.
Traditional synchronous Stochastic Gradient Descent (SGD)\r\nachieves good accuracy
for a wide variety of tasks, but relies on global synchronization to accumulate
the gradients at every training step. In this paper, we propose eager-SGD, which
relaxes the global synchronization for\r\ndecentralized accumulation. To implement
eager-SGD, we propose to use two partial collectives: solo and majority. With
solo allreduce, the faster processes contribute their gradients eagerly without
waiting for the slower processes, whereas with majority allreduce, at least half
of the participants must contribute gradients before continuing, all without using
a central parameter server. We theoretically prove the convergence of the algorithms
and describe the partial collectives in detail. Experimental results on load-imbalanced
environments (CIFAR-10, ImageNet, and UCF101 datasets) show\r\nthat eager-SGD
achieves 1.27x speedup over the state-of-the-art synchronous SGD, without losing
accuracy."
article_processing_charge: No
author:
- first_name: Shigang
full_name: Li, Shigang
last_name: Li
- first_name: Tal Ben-Nun
full_name: Tal Ben-Nun, Tal Ben-Nun
last_name: Tal Ben-Nun
- first_name: Salvatore Di
full_name: Girolamo, Salvatore Di
last_name: Girolamo
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
- first_name: Torsten
full_name: Hoefler, Torsten
last_name: Hoefler
citation:
ama: 'Li S, Tal Ben-Nun TB-N, Girolamo SD, Alistarh D-A, Hoefler T. Taming unbalanced
training workloads in deep learning with partial collective operations. In: Proceedings
of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.
Association for Computing Machinery; 2020:45-61. doi:10.1145/3332466.3374528'
apa: 'Li, S., Tal Ben-Nun, T. B.-N., Girolamo, S. D., Alistarh, D.-A., & Hoefler,
T. (2020). Taming unbalanced training workloads in deep learning with partial
collective operations. In Proceedings of the 25th ACM SIGPLAN Symposium on
Principles and Practice of Parallel Programming (pp. 45–61). San Diego, CA,
United States: Association for Computing Machinery. https://doi.org/10.1145/3332466.3374528'
chicago: Li, Shigang, Tal Ben-Nun Tal Ben-Nun, Salvatore Di Girolamo, Dan-Adrian
Alistarh, and Torsten Hoefler. “Taming Unbalanced Training Workloads in Deep Learning
with Partial Collective Operations.” In Proceedings of the 25th ACM SIGPLAN
Symposium on Principles and Practice of Parallel Programming, 45–61. Association
for Computing Machinery, 2020. https://doi.org/10.1145/3332466.3374528.
ieee: S. Li, T. B.-N. Tal Ben-Nun, S. D. Girolamo, D.-A. Alistarh, and T. Hoefler,
“Taming unbalanced training workloads in deep learning with partial collective
operations,” in Proceedings of the 25th ACM SIGPLAN Symposium on Principles
and Practice of Parallel Programming, San Diego, CA, United States, 2020,
pp. 45–61.
ista: 'Li S, Tal Ben-Nun TB-N, Girolamo SD, Alistarh D-A, Hoefler T. 2020. Taming
unbalanced training workloads in deep learning with partial collective operations.
Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel
Programming. PPoPP: Sympopsium on Principles and Practice of Parallel Programming,
45–61.'
mla: Li, Shigang, et al. “Taming Unbalanced Training Workloads in Deep Learning
with Partial Collective Operations.” Proceedings of the 25th ACM SIGPLAN Symposium
on Principles and Practice of Parallel Programming, Association for Computing
Machinery, 2020, pp. 45–61, doi:10.1145/3332466.3374528.
short: S. Li, T.B.-N. Tal Ben-Nun, S.D. Girolamo, D.-A. Alistarh, T. Hoefler, in:,
Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel
Programming, Association for Computing Machinery, 2020, pp. 45–61.
conference:
end_date: 2020-02-26
location: San Diego, CA, United States
name: 'PPoPP: Sympopsium on Principles and Practice of Parallel Programming'
start_date: 2020-02-22
date_created: 2020-11-05T15:25:30Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2023-08-22T12:13:48Z
day: '01'
department:
- _id: DaAl
doi: 10.1145/3332466.3374528
ec_funded: 1
external_id:
arxiv:
- '1908.04207'
isi:
- '000564476500004'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1908.04207
month: '02'
oa: 1
oa_version: Preprint
page: 45-61
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication: Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice
of Parallel Programming
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Taming unbalanced training workloads in deep learning with partial collective
operations
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2020'
...
---
_id: '8744'
abstract:
- lang: eng
text: Understanding the conformational sampling of translation-arrested ribosome
nascent chain complexes is key to understand co-translational folding. Up to now,
coupling of cysteine oxidation, disulfide bond formation and structure formation
in nascent chains has remained elusive. Here, we investigate the eye-lens protein
γB-crystallin in the ribosomal exit tunnel. Using mass spectrometry, theoretical
simulations, dynamic nuclear polarization-enhanced solid-state nuclear magnetic
resonance and cryo-electron microscopy, we show that thiol groups of cysteine
residues undergo S-glutathionylation and S-nitrosylation and form non-native disulfide
bonds. Thus, covalent modification chemistry occurs already prior to nascent chain
release as the ribosome exit tunnel provides sufficient space even for disulfide
bond formation which can guide protein folding.
acknowledgement: 'We acknowledge help from Anja Seybert, Margot Frangakis, Diana Grewe,
Mikhail Eltsov, Utz Ermel, and Shintaro Aibara. The work was supported by Deutsche
Forschungsgemeinschaft in the CLiC graduate school. Work at the Center for Biomolecular
Magnetic Resonance (BMRZ) is supported by the German state of Hesse. The work at
BMRZ has been supported by the state of Hesse. L.S. has been supported by the DFG
graduate college: CLiC.'
article_number: '5569'
article_processing_charge: No
article_type: original
author:
- first_name: Linda
full_name: Schulte, Linda
last_name: Schulte
- first_name: Jiafei
full_name: Mao, Jiafei
last_name: Mao
- first_name: Julian
full_name: Reitz, Julian
last_name: Reitz
- first_name: Sridhar
full_name: Sreeramulu, Sridhar
last_name: Sreeramulu
- first_name: Denis
full_name: Kudlinzki, Denis
last_name: Kudlinzki
- first_name: Victor-Valentin
full_name: Hodirnau, Victor-Valentin
id: 3661B498-F248-11E8-B48F-1D18A9856A87
last_name: Hodirnau
- first_name: Jakob
full_name: Meier-Credo, Jakob
last_name: Meier-Credo
- first_name: Krishna
full_name: Saxena, Krishna
last_name: Saxena
- first_name: Florian
full_name: Buhr, Florian
last_name: Buhr
- first_name: Julian D.
full_name: Langer, Julian D.
last_name: Langer
- first_name: Martin
full_name: Blackledge, Martin
last_name: Blackledge
- first_name: Achilleas S.
full_name: Frangakis, Achilleas S.
last_name: Frangakis
- first_name: Clemens
full_name: Glaubitz, Clemens
last_name: Glaubitz
- first_name: Harald
full_name: Schwalbe, Harald
last_name: Schwalbe
citation:
ama: Schulte L, Mao J, Reitz J, et al. Cysteine oxidation and disulfide formation
in the ribosomal exit tunnel. Nature Communications. 2020;11. doi:10.1038/s41467-020-19372-x
apa: Schulte, L., Mao, J., Reitz, J., Sreeramulu, S., Kudlinzki, D., Hodirnau, V.-V.,
… Schwalbe, H. (2020). Cysteine oxidation and disulfide formation in the ribosomal
exit tunnel. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-020-19372-x
chicago: Schulte, Linda, Jiafei Mao, Julian Reitz, Sridhar Sreeramulu, Denis Kudlinzki,
Victor-Valentin Hodirnau, Jakob Meier-Credo, et al. “Cysteine Oxidation and Disulfide
Formation in the Ribosomal Exit Tunnel.” Nature Communications. Springer
Nature, 2020. https://doi.org/10.1038/s41467-020-19372-x.
ieee: L. Schulte et al., “Cysteine oxidation and disulfide formation in the
ribosomal exit tunnel,” Nature Communications, vol. 11. Springer Nature,
2020.
ista: Schulte L, Mao J, Reitz J, Sreeramulu S, Kudlinzki D, Hodirnau V-V, Meier-Credo
J, Saxena K, Buhr F, Langer JD, Blackledge M, Frangakis AS, Glaubitz C, Schwalbe
H. 2020. Cysteine oxidation and disulfide formation in the ribosomal exit tunnel.
Nature Communications. 11, 5569.
mla: Schulte, Linda, et al. “Cysteine Oxidation and Disulfide Formation in the Ribosomal
Exit Tunnel.” Nature Communications, vol. 11, 5569, Springer Nature, 2020,
doi:10.1038/s41467-020-19372-x.
short: L. Schulte, J. Mao, J. Reitz, S. Sreeramulu, D. Kudlinzki, V.-V. Hodirnau,
J. Meier-Credo, K. Saxena, F. Buhr, J.D. Langer, M. Blackledge, A.S. Frangakis,
C. Glaubitz, H. Schwalbe, Nature Communications 11 (2020).
date_created: 2020-11-09T07:49:36Z
date_published: 2020-11-04T00:00:00Z
date_updated: 2023-08-22T12:36:07Z
day: '04'
ddc:
- '570'
department:
- _id: EM-Fac
doi: 10.1038/s41467-020-19372-x
external_id:
isi:
- '000592028600001'
file:
- access_level: open_access
checksum: b2688f0347e69e6629bba582077278c5
content_type: application/pdf
creator: dernst
date_created: 2020-11-09T07:56:24Z
date_updated: 2020-11-09T07:56:24Z
file_id: '8745'
file_name: 2020_NatureComm_Schulte.pdf
file_size: 1670898
relation: main_file
success: 1
file_date_updated: 2020-11-09T07:56:24Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
keyword:
- General Biochemistry
- Genetics and Molecular Biology
- General Physics and Astronomy
- General Chemistry
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: Nature Communications
publication_identifier:
issn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Cysteine oxidation and disulfide formation in the ribosomal exit tunnel
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2020'
...
---
_id: '8747'
abstract:
- lang: eng
text: "Appropriately designed nanocomposites allow improving the thermoelectric
performance by several mechanisms, including phonon scattering, modulation doping
and energy filtering, while additionally promoting better mechanical properties
than those of crystalline materials. Here, a strategy for producing Bi2Te3–Cu2xTe
nanocomposites based on the consolidation of heterostructured nanoparticles is
described and the thermoelectric properties of the obtained materials are investigated.
We first detail a two-step solution-based process to produce Bi2Te3–Cu2xTe heteronanostructures,
based on the growth of Cu2xTe nanocrystals on the surface of Bi2Te3 nanowires.
We characterize the structural and chemical properties of the synthesized nanostructures
and of the nanocomposites\r\nproduced by hot-pressing the particles at moderate
temperatures. Besides, the transport properties of the nanocomposites are investigated
as a function of the amount of Cu introduced. Overall, the presence of Cu decreases
the material thermal conductivity through promotion of phonon scattering, modulates
the charge carrier concentration through electron spillover, and increases the
Seebeck coefficient through filtering of charge carriers at energy barriers. These
effects result in an improvement of over 50% of the thermoelectric figure of merit
of Bi2Te3."
acknowledgement: "This work was supported by the European Regional Development Funds
and by the Spanish Ministerio de Economı´a y\r\nCompetitividad through the project
SEHTOP (ENE2016-77798-C4-3-R). Y. Z. and X. H., thank the China Scholarship Council
for scholarship support. M. C. has received funding from the European Union’s Horizon
2020 Research and Innovation programme under the Marie Skłodowska-Curie Grant Agreement
No. 665385. M. I. acknowledges financial support from IST Austria. Y. L. acknowledges
funding from the European Union’s Horizon 2020 Research and Innovation Programme
under the Marie Sklodowska-Curie grant agreement no. 754411. ICN2 acknowledges funding
from Generalitat de Catalunya 2017 SGR 327 and the Spanish MINECO project ENE2017-85087-C3.
ICN2 is supported by the Severo Ochoa program from the Spanish MINECO (grant no.
SEV-2017-0706) and is funded by the CERCA Programme/Generalitat de Catalunya. Part
of the present work has been performed in the framework of Universitat \r\nAuto`noma
de Barcelona Materials Science PhD program."
article_processing_charge: No
article_type: original
author:
- first_name: Yu
full_name: Zhang, Yu
last_name: Zhang
- first_name: Yu
full_name: Liu, Yu
id: 2A70014E-F248-11E8-B48F-1D18A9856A87
last_name: Liu
orcid: 0000-0001-7313-6740
- first_name: Mariano
full_name: Calcabrini, Mariano
last_name: Calcabrini
- first_name: Congcong
full_name: Xing, Congcong
last_name: Xing
- first_name: Xu
full_name: Han, Xu
last_name: Han
- first_name: Jordi
full_name: Arbiol, Jordi
last_name: Arbiol
- first_name: Doris
full_name: Cadavid, Doris
last_name: Cadavid
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
- first_name: Andreu
full_name: Cabot, Andreu
last_name: Cabot
citation:
ama: Zhang Y, Liu Y, Calcabrini M, et al. Bismuth telluride-copper telluride nanocomposites
from heterostructured building blocks. Journal of Materials Chemistry C.
2020;8(40):14092-14099. doi:10.1039/D0TC02182B
apa: Zhang, Y., Liu, Y., Calcabrini, M., Xing, C., Han, X., Arbiol, J., … Cabot,
A. (2020). Bismuth telluride-copper telluride nanocomposites from heterostructured
building blocks. Journal of Materials Chemistry C. Royal Society of Chemistry.
https://doi.org/10.1039/D0TC02182B
chicago: Zhang, Yu, Yu Liu, Mariano Calcabrini, Congcong Xing, Xu Han, Jordi Arbiol,
Doris Cadavid, Maria Ibáñez, and Andreu Cabot. “Bismuth Telluride-Copper Telluride
Nanocomposites from Heterostructured Building Blocks.” Journal of Materials
Chemistry C. Royal Society of Chemistry, 2020. https://doi.org/10.1039/D0TC02182B.
ieee: Y. Zhang et al., “Bismuth telluride-copper telluride nanocomposites
from heterostructured building blocks,” Journal of Materials Chemistry C,
vol. 8, no. 40. Royal Society of Chemistry, pp. 14092–14099, 2020.
ista: Zhang Y, Liu Y, Calcabrini M, Xing C, Han X, Arbiol J, Cadavid D, Ibáñez M,
Cabot A. 2020. Bismuth telluride-copper telluride nanocomposites from heterostructured
building blocks. Journal of Materials Chemistry C. 8(40), 14092–14099.
mla: Zhang, Yu, et al. “Bismuth Telluride-Copper Telluride Nanocomposites from Heterostructured
Building Blocks.” Journal of Materials Chemistry C, vol. 8, no. 40, Royal
Society of Chemistry, 2020, pp. 14092–99, doi:10.1039/D0TC02182B.
short: Y. Zhang, Y. Liu, M. Calcabrini, C. Xing, X. Han, J. Arbiol, D. Cadavid,
M. Ibáñez, A. Cabot, Journal of Materials Chemistry C 8 (2020) 14092–14099.
date_created: 2020-11-09T08:37:51Z
date_published: 2020-10-28T00:00:00Z
date_updated: 2023-08-22T12:41:05Z
day: '28'
department:
- _id: MaIb
doi: 10.1039/D0TC02182B
ec_funded: 1
external_id:
isi:
- '000581559100015'
intvolume: ' 8'
isi: 1
issue: '40'
language:
- iso: eng
month: '10'
oa_version: None
page: 14092-14099
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Journal of Materials Chemistry C
publication_status: published
publisher: Royal Society of Chemistry
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bismuth telluride-copper telluride nanocomposites from heterostructured building
blocks
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 8
year: '2020'
...
---
_id: '8767'
abstract:
- lang: eng
text: Resources are rarely distributed uniformly within a population. Heterogeneity
in the concentration of a drug, the quality of breeding sites, or wealth can all
affect evolutionary dynamics. In this study, we represent a collection of properties
affecting the fitness at a given location using a color. A green node is rich
in resources while a red node is poorer. More colors can represent a broader spectrum
of resource qualities. For a population evolving according to the birth-death
Moran model, the first question we address is which structures, identified by
graph connectivity and graph coloring, are evolutionarily equivalent. We prove
that all properly two-colored, undirected, regular graphs are evolutionarily equivalent
(where “properly colored” means that no two neighbors have the same color). We
then compare the effects of background heterogeneity on properly two-colored graphs
to those with alternative schemes in which the colors are permuted. Finally, we
discuss dynamic coloring as a model for spatiotemporal resource fluctuations,
and we illustrate that random dynamic colorings often diminish the effects of
background heterogeneity relative to a proper two-coloring.
acknowledgement: 'We thank Igor Erovenko for many helpful comments on an earlier version
of this paper. : Army Research Laboratory (grant W911NF-18-2-0265) (M.A.N.); the
Bill & Melinda Gates Foundation (grant OPP1148627) (M.A.N.); the NVIDIA Corporation
(A.M.). The funders had no role in study design, data collection and analysis, decision
to publish, or preparation of the manuscript.'
article_number: e1008402
article_processing_charge: No
article_type: original
author:
- first_name: Kamran
full_name: Kaveh, Kamran
last_name: Kaveh
- first_name: Alex
full_name: McAvoy, Alex
last_name: McAvoy
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin A.
full_name: Nowak, Martin A.
last_name: Nowak
citation:
ama: Kaveh K, McAvoy A, Chatterjee K, Nowak MA. The Moran process on 2-chromatic
graphs. PLOS Computational Biology. 2020;16(11). doi:10.1371/journal.pcbi.1008402
apa: Kaveh, K., McAvoy, A., Chatterjee, K., & Nowak, M. A. (2020). The Moran
process on 2-chromatic graphs. PLOS Computational Biology. Public Library
of Science. https://doi.org/10.1371/journal.pcbi.1008402
chicago: Kaveh, Kamran, Alex McAvoy, Krishnendu Chatterjee, and Martin A. Nowak.
“The Moran Process on 2-Chromatic Graphs.” PLOS Computational Biology.
Public Library of Science, 2020. https://doi.org/10.1371/journal.pcbi.1008402.
ieee: K. Kaveh, A. McAvoy, K. Chatterjee, and M. A. Nowak, “The Moran process on
2-chromatic graphs,” PLOS Computational Biology, vol. 16, no. 11. Public
Library of Science, 2020.
ista: Kaveh K, McAvoy A, Chatterjee K, Nowak MA. 2020. The Moran process on 2-chromatic
graphs. PLOS Computational Biology. 16(11), e1008402.
mla: Kaveh, Kamran, et al. “The Moran Process on 2-Chromatic Graphs.” PLOS Computational
Biology, vol. 16, no. 11, e1008402, Public Library of Science, 2020, doi:10.1371/journal.pcbi.1008402.
short: K. Kaveh, A. McAvoy, K. Chatterjee, M.A. Nowak, PLOS Computational Biology
16 (2020).
date_created: 2020-11-18T07:20:23Z
date_published: 2020-11-05T00:00:00Z
date_updated: 2023-08-22T12:49:18Z
day: '05'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1371/journal.pcbi.1008402
external_id:
isi:
- '000591317200004'
file:
- access_level: open_access
checksum: 555456dd0e47bcf9e0994bcb95577e88
content_type: application/pdf
creator: dernst
date_created: 2020-11-18T07:26:10Z
date_updated: 2020-11-18T07:26:10Z
file_id: '8768'
file_name: 2020_PlosCompBio_Kaveh.pdf
file_size: 2498594
relation: main_file
success: 1
file_date_updated: 2020-11-18T07:26:10Z
has_accepted_license: '1'
intvolume: ' 16'
isi: 1
issue: '11'
keyword:
- Ecology
- Modelling and Simulation
- Computational Theory and Mathematics
- Genetics
- Ecology
- Evolution
- Behavior and Systematics
- Molecular Biology
- Cellular and Molecular Neuroscience
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: PLOS Computational Biology
publication_identifier:
eissn:
- 1553-7358
issn:
- 1553-734X
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: The Moran process on 2-chromatic graphs
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 16
year: '2020'
...
---
_id: '8750'
abstract:
- lang: eng
text: "Efficiently handling time-triggered and possibly nondeterministic switches\r\nfor
hybrid systems reachability is a challenging task. In this paper we present\r\nan
approach based on conservative set-based enclosure of the dynamics that can\r\nhandle
systems with uncertain parameters and inputs, where the uncertainties\r\nare bound
to given intervals. The method is evaluated on the plant model of an\r\nexperimental
electro-mechanical braking system with periodic controller. In\r\nthis model,
the fast-switching controller dynamics requires simulation time\r\nscales of the
order of nanoseconds. Accurate set-based computations for\r\nrelatively large
time horizons are known to be expensive. However, by\r\nappropriately decoupling
the time variable with respect to the spatial\r\nvariables, and enclosing the
uncertain parameters using interval matrix maps\r\nacting on zonotopes, we show
that the computation time can be lowered to 5000\r\ntimes faster with respect
to previous works. This is a step forward in formal\r\nverification of hybrid
systems because reduced run-times allow engineers to\r\nintroduce more expressiveness
in their models with a relatively inexpensive\r\ncomputational cost."
article_number: '9314994'
article_processing_charge: No
author:
- first_name: Marcelo
full_name: Forets, Marcelo
last_name: Forets
- first_name: Daniel
full_name: Freire, Daniel
last_name: Freire
- first_name: Christian
full_name: Schilling, Christian
id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87
last_name: Schilling
orcid: 0000-0003-3658-1065
citation:
ama: 'Forets M, Freire D, Schilling C. Efficient reachability analysis of parametric
linear hybrid systems with time-triggered transitions. In: 18th ACM-IEEE International
Conference on Formal Methods and Models for System Design. IEEE; 2020. doi:10.1109/MEMOCODE51338.2020.9314994'
apa: 'Forets, M., Freire, D., & Schilling, C. (2020). Efficient reachability
analysis of parametric linear hybrid systems with time-triggered transitions.
In 18th ACM-IEEE International Conference on Formal Methods and Models for
System Design. Virtual Conference: IEEE. https://doi.org/10.1109/MEMOCODE51338.2020.9314994'
chicago: Forets, Marcelo, Daniel Freire, and Christian Schilling. “Efficient Reachability
Analysis of Parametric Linear Hybrid Systems with Time-Triggered Transitions.”
In 18th ACM-IEEE International Conference on Formal Methods and Models for
System Design. IEEE, 2020. https://doi.org/10.1109/MEMOCODE51338.2020.9314994.
ieee: M. Forets, D. Freire, and C. Schilling, “Efficient reachability analysis of
parametric linear hybrid systems with time-triggered transitions,” in 18th
ACM-IEEE International Conference on Formal Methods and Models for System Design,
Virtual Conference, 2020.
ista: 'Forets M, Freire D, Schilling C. 2020. Efficient reachability analysis of
parametric linear hybrid systems with time-triggered transitions. 18th ACM-IEEE
International Conference on Formal Methods and Models for System Design. MEMOCODE:
Conference on Formal Methods and Models for System Design, 9314994.'
mla: Forets, Marcelo, et al. “Efficient Reachability Analysis of Parametric Linear
Hybrid Systems with Time-Triggered Transitions.” 18th ACM-IEEE International
Conference on Formal Methods and Models for System Design, 9314994, IEEE,
2020, doi:10.1109/MEMOCODE51338.2020.9314994.
short: M. Forets, D. Freire, C. Schilling, in:, 18th ACM-IEEE International Conference
on Formal Methods and Models for System Design, IEEE, 2020.
conference:
end_date: 2020-12-04
location: Virtual Conference
name: 'MEMOCODE: Conference on Formal Methods and Models for System Design'
start_date: 2020-12-02
date_created: 2020-11-10T07:04:57Z
date_published: 2020-12-04T00:00:00Z
date_updated: 2023-08-22T12:48:18Z
day: '04'
department:
- _id: ToHe
doi: 10.1109/MEMOCODE51338.2020.9314994
ec_funded: 1
external_id:
arxiv:
- '2006.12325'
isi:
- '000661920400013'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2006.12325
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: 18th ACM-IEEE International Conference on Formal Methods and Models for
System Design
publication_identifier:
isbn:
- '9781728191485'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Efficient reachability analysis of parametric linear hybrid systems with time-triggered
transitions
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2020'
...