---
_id: '725'
abstract:
- lang: eng
text: Individual computations and social interactions underlying collective behavior
in groups of animals are of great ethological, behavioral, and theoretical interest.
While complex individual behaviors have successfully been parsed into small dictionaries
of stereotyped behavioral modes, studies of collective behavior largely ignored
these findings; instead, their focus was on inferring single, mode-independent
social interaction rules that reproduced macroscopic and often qualitative features
of group behavior. Here, we bring these two approaches together to predict individual
swimming patterns of adult zebrafish in a group. We show that fish alternate between
an “active” mode, in which they are sensitive to the swimming patterns of conspecifics,
and a “passive” mode, where they ignore them. Using a model that accounts for
these two modes explicitly, we predict behaviors of individual fish with high
accuracy, outperforming previous approaches that assumed a single continuous computation
by individuals and simple metric or topological weighing of neighbors’ behavior.
At the group level, switching between active and passive modes is uncorrelated
among fish, but correlated directional swimming behavior still emerges. Our quantitative
approach for studying complex, multi-modal individual behavior jointly with emergent
group behavior is readily extensible to additional behavioral modes and their
neural correlates as well as to other species.
author:
- first_name: Roy
full_name: Harpaz, Roy
last_name: Harpaz
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Elad
full_name: Schneidman, Elad
last_name: Schneidman
citation:
ama: Harpaz R, Tkačik G, Schneidman E. Discrete modes of social information processing
predict individual behavior of fish in a group. PNAS. 2017;114(38):10149-10154.
doi:10.1073/pnas.1703817114
apa: Harpaz, R., Tkačik, G., & Schneidman, E. (2017). Discrete modes of social
information processing predict individual behavior of fish in a group. PNAS.
National Academy of Sciences. https://doi.org/10.1073/pnas.1703817114
chicago: Harpaz, Roy, Gašper Tkačik, and Elad Schneidman. “Discrete Modes of Social
Information Processing Predict Individual Behavior of Fish in a Group.” PNAS.
National Academy of Sciences, 2017. https://doi.org/10.1073/pnas.1703817114.
ieee: R. Harpaz, G. Tkačik, and E. Schneidman, “Discrete modes of social information
processing predict individual behavior of fish in a group,” PNAS, vol.
114, no. 38. National Academy of Sciences, pp. 10149–10154, 2017.
ista: Harpaz R, Tkačik G, Schneidman E. 2017. Discrete modes of social information
processing predict individual behavior of fish in a group. PNAS. 114(38), 10149–10154.
mla: Harpaz, Roy, et al. “Discrete Modes of Social Information Processing Predict
Individual Behavior of Fish in a Group.” PNAS, vol. 114, no. 38, National
Academy of Sciences, 2017, pp. 10149–54, doi:10.1073/pnas.1703817114.
short: R. Harpaz, G. Tkačik, E. Schneidman, PNAS 114 (2017) 10149–10154.
date_created: 2018-12-11T11:48:10Z
date_published: 2017-09-19T00:00:00Z
date_updated: 2021-01-12T08:12:36Z
day: '19'
department:
- _id: GaTk
doi: 10.1073/pnas.1703817114
external_id:
pmid:
- '28874581'
intvolume: ' 114'
issue: '38'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617265/
month: '09'
oa: 1
oa_version: Submitted Version
page: 10149 - 10154
pmid: 1
publication: PNAS
publication_identifier:
issn:
- '00278424'
publication_status: published
publisher: National Academy of Sciences
publist_id: '6953'
quality_controlled: '1'
scopus_import: 1
status: public
title: Discrete modes of social information processing predict individual behavior
of fish in a group
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 114
year: '2017'
...
---
_id: '9709'
abstract:
- lang: eng
text: Across the nervous system, certain population spiking patterns are observed
far more frequently than others. A hypothesis about this structure is that these
collective activity patterns function as population codewords–collective modes–carrying
information distinct from that of any single cell. We investigate this phenomenon
in recordings of ∼150 retinal ganglion cells, the retina’s output. We develop
a novel statistical model that decomposes the population response into modes;
it predicts the distribution of spiking activity in the ganglion cell population
with high accuracy. We found that the modes represent localized features of the
visual stimulus that are distinct from the features represented by single neurons.
Modes form clusters of activity states that are readily discriminated from one
another. When we repeated the same visual stimulus, we found that the same mode
was robustly elicited. These results suggest that retinal ganglion cells’ collective
signaling is endowed with a form of error-correcting code–a principle that may
hold in brain areas beyond retina.
article_processing_charge: No
author:
- first_name: Jason
full_name: Prentice, Jason
last_name: Prentice
- first_name: Olivier
full_name: Marre, Olivier
last_name: Marre
- first_name: Mark
full_name: Ioffe, Mark
last_name: Ioffe
- first_name: Adrianna
full_name: Loback, Adrianna
last_name: Loback
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Michael
full_name: Berry, Michael
last_name: Berry
citation:
ama: 'Prentice J, Marre O, Ioffe M, Loback A, Tkačik G, Berry M. Data from: Error-robust
modes of the retinal population code. 2017. doi:10.5061/dryad.1f1rc'
apa: 'Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkačik, G., & Berry, M.
(2017). Data from: Error-robust modes of the retinal population code. Dryad. https://doi.org/10.5061/dryad.1f1rc'
chicago: 'Prentice, Jason, Olivier Marre, Mark Ioffe, Adrianna Loback, Gašper Tkačik,
and Michael Berry. “Data from: Error-Robust Modes of the Retinal Population Code.”
Dryad, 2017. https://doi.org/10.5061/dryad.1f1rc.'
ieee: 'J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkačik, and M. Berry, “Data
from: Error-robust modes of the retinal population code.” Dryad, 2017.'
ista: 'Prentice J, Marre O, Ioffe M, Loback A, Tkačik G, Berry M. 2017. Data from:
Error-robust modes of the retinal population code, Dryad, 10.5061/dryad.1f1rc.'
mla: 'Prentice, Jason, et al. Data from: Error-Robust Modes of the Retinal Population
Code. Dryad, 2017, doi:10.5061/dryad.1f1rc.'
short: J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkačik, M. Berry, (2017).
date_created: 2021-07-23T11:34:34Z
date_published: 2017-10-18T00:00:00Z
date_updated: 2023-02-21T16:34:41Z
day: '18'
department:
- _id: GaTk
doi: 10.5061/dryad.1f1rc
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.1f1rc
month: '10'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '1197'
relation: used_in_publication
status: public
status: public
title: 'Data from: Error-robust modes of the retinal population code'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '680'
abstract:
- lang: eng
text: In order to respond reliably to specific features of their environment, sensory
neurons need to integrate multiple incoming noisy signals. Crucially, they also
need to compete for the interpretation of those signals with other neurons representing
similar features. The form that this competition should take depends critically
on the noise corrupting these signals. In this study we show that for the type
of noise commonly observed in sensory systems, whose variance scales with the
mean signal, sensory neurons should selectively divide their input signals by
their predictions, suppressing ambiguous cues while amplifying others. Any change
in the stimulus context alters which inputs are suppressed, leading to a deep
dynamic reshaping of neural receptive fields going far beyond simple surround
suppression. Paradoxically, these highly variable receptive fields go alongside
and are in fact required for an invariant representation of external sensory features.
In addition to offering a normative account of context-dependent changes in sensory
responses, perceptual inference in the presence of signal-dependent noise accounts
for ubiquitous features of sensory neurons such as divisive normalization, gain
control and contrast dependent temporal dynamics.
article_number: e1005582
author:
- first_name: Matthew J
full_name: Chalk, Matthew J
id: 2BAAC544-F248-11E8-B48F-1D18A9856A87
last_name: Chalk
orcid: 0000-0001-7782-4436
- first_name: Paul
full_name: Masset, Paul
last_name: Masset
- first_name: Boris
full_name: Gutkin, Boris
last_name: Gutkin
- first_name: Sophie
full_name: Denève, Sophie
last_name: Denève
citation:
ama: Chalk MJ, Masset P, Gutkin B, Denève S. Sensory noise predicts divisive reshaping
of receptive fields. PLoS Computational Biology. 2017;13(6). doi:10.1371/journal.pcbi.1005582
apa: Chalk, M. J., Masset, P., Gutkin, B., & Denève, S. (2017). Sensory noise
predicts divisive reshaping of receptive fields. PLoS Computational Biology.
Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005582
chicago: Chalk, Matthew J, Paul Masset, Boris Gutkin, and Sophie Denève. “Sensory
Noise Predicts Divisive Reshaping of Receptive Fields.” PLoS Computational
Biology. Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005582.
ieee: M. J. Chalk, P. Masset, B. Gutkin, and S. Denève, “Sensory noise predicts
divisive reshaping of receptive fields,” PLoS Computational Biology, vol.
13, no. 6. Public Library of Science, 2017.
ista: Chalk MJ, Masset P, Gutkin B, Denève S. 2017. Sensory noise predicts divisive
reshaping of receptive fields. PLoS Computational Biology. 13(6), e1005582.
mla: Chalk, Matthew J., et al. “Sensory Noise Predicts Divisive Reshaping of Receptive
Fields.” PLoS Computational Biology, vol. 13, no. 6, e1005582, Public Library
of Science, 2017, doi:10.1371/journal.pcbi.1005582.
short: M.J. Chalk, P. Masset, B. Gutkin, S. Denève, PLoS Computational Biology 13
(2017).
date_created: 2018-12-11T11:47:53Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2023-02-23T14:10:54Z
day: '01'
ddc:
- '571'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1005582
file:
- access_level: open_access
checksum: 796a1026076af6f4405a47d985bc7b68
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:07:47Z
date_updated: 2020-07-14T12:47:40Z
file_id: '4645'
file_name: IST-2017-898-v1+1_journal.pcbi.1005582.pdf
file_size: 14555676
relation: main_file
file_date_updated: 2020-07-14T12:47:40Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '6'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '06'
oa: 1
oa_version: Published Version
publication: PLoS Computational Biology
publication_identifier:
issn:
- 1553734X
publication_status: published
publisher: Public Library of Science
publist_id: '7035'
pubrep_id: '898'
quality_controlled: '1'
related_material:
record:
- id: '9855'
relation: research_data
status: public
scopus_import: 1
status: public
title: Sensory noise predicts divisive reshaping of receptive fields
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2017'
...
---
_id: '9855'
abstract:
- lang: eng
text: Includes derivation of optimal estimation algorithm, generalisation to non-poisson
noise statistics, correlated input noise, and implementation of in a multi-layer
neural network.
article_processing_charge: No
author:
- first_name: Matthew J
full_name: Chalk, Matthew J
id: 2BAAC544-F248-11E8-B48F-1D18A9856A87
last_name: Chalk
orcid: 0000-0001-7782-4436
- first_name: Paul
full_name: Masset, Paul
last_name: Masset
- first_name: Boris
full_name: Gutkin, Boris
last_name: Gutkin
- first_name: Sophie
full_name: Denève, Sophie
last_name: Denève
citation:
ama: Chalk MJ, Masset P, Gutkin B, Denève S. Supplementary appendix. 2017. doi:10.1371/journal.pcbi.1005582.s001
apa: Chalk, M. J., Masset, P., Gutkin, B., & Denève, S. (2017). Supplementary
appendix. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005582.s001
chicago: Chalk, Matthew J, Paul Masset, Boris Gutkin, and Sophie Denève. “Supplementary
Appendix.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005582.s001.
ieee: M. J. Chalk, P. Masset, B. Gutkin, and S. Denève, “Supplementary appendix.”
Public Library of Science, 2017.
ista: Chalk MJ, Masset P, Gutkin B, Denève S. 2017. Supplementary appendix, Public
Library of Science, 10.1371/journal.pcbi.1005582.s001.
mla: Chalk, Matthew J., et al. Supplementary Appendix. Public Library of
Science, 2017, doi:10.1371/journal.pcbi.1005582.s001.
short: M.J. Chalk, P. Masset, B. Gutkin, S. Denève, (2017).
date_created: 2021-08-10T07:05:10Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2023-02-23T12:52:17Z
day: '01'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1005582.s001
month: '06'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '680'
relation: used_in_publication
status: public
status: public
title: Supplementary appendix
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '666'
abstract:
- lang: eng
text: Antibiotics elicit drastic changes in microbial gene expression, including
the induction of stress response genes. While certain stress responses are known
to “cross-protect” bacteria from other stressors, it is unclear whether cellular
responses to antibiotics have a similar protective role. By measuring the genome-wide
transcriptional response dynamics of Escherichia coli to four antibiotics, we
found that trimethoprim induces a rapid acid stress response that protects bacteria
from subsequent exposure to acid. Combining microfluidics with time-lapse imaging
to monitor survival and acid stress response in single cells revealed that the
noisy expression of the acid resistance operon gadBC correlates with single-cell
survival. Cells with higher gadBC expression following trimethoprim maintain higher
intracellular pH and survive the acid stress longer. The seemingly random single-cell
survival under acid stress can therefore be predicted from gadBC expression and
rationalized in terms of GadB/C molecular function. Overall, we provide a roadmap
for identifying the molecular mechanisms of single-cell cross-protection between
antibiotics and other stressors.
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Karin
full_name: Mitosch, Karin
id: 39B66846-F248-11E8-B48F-1D18A9856A87
last_name: Mitosch
- first_name: Georg
full_name: Rieckh, Georg
id: 34DA8BD6-F248-11E8-B48F-1D18A9856A87
last_name: Rieckh
- first_name: Tobias
full_name: Bollenbach, Tobias
id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
last_name: Bollenbach
orcid: 0000-0003-4398-476X
citation:
ama: Mitosch K, Rieckh G, Bollenbach MT. Noisy response to antibiotic stress predicts
subsequent single cell survival in an acidic environment. Cell Systems.
2017;4(4):393-403. doi:10.1016/j.cels.2017.03.001
apa: Mitosch, K., Rieckh, G., & Bollenbach, M. T. (2017). Noisy response to
antibiotic stress predicts subsequent single cell survival in an acidic environment.
Cell Systems. Cell Press. https://doi.org/10.1016/j.cels.2017.03.001
chicago: Mitosch, Karin, Georg Rieckh, and Mark Tobias Bollenbach. “Noisy Response
to Antibiotic Stress Predicts Subsequent Single Cell Survival in an Acidic Environment.”
Cell Systems. Cell Press, 2017. https://doi.org/10.1016/j.cels.2017.03.001.
ieee: K. Mitosch, G. Rieckh, and M. T. Bollenbach, “Noisy response to antibiotic
stress predicts subsequent single cell survival in an acidic environment,” Cell
Systems, vol. 4, no. 4. Cell Press, pp. 393–403, 2017.
ista: Mitosch K, Rieckh G, Bollenbach MT. 2017. Noisy response to antibiotic stress
predicts subsequent single cell survival in an acidic environment. Cell Systems.
4(4), 393–403.
mla: Mitosch, Karin, et al. “Noisy Response to Antibiotic Stress Predicts Subsequent
Single Cell Survival in an Acidic Environment.” Cell Systems, vol. 4, no.
4, Cell Press, 2017, pp. 393–403, doi:10.1016/j.cels.2017.03.001.
short: K. Mitosch, G. Rieckh, M.T. Bollenbach, Cell Systems 4 (2017) 393–403.
date_created: 2018-12-11T11:47:48Z
date_published: 2017-04-26T00:00:00Z
date_updated: 2023-09-07T12:00:25Z
day: '26'
ddc:
- '576'
- '610'
department:
- _id: ToBo
- _id: GaTk
doi: 10.1016/j.cels.2017.03.001
ec_funded: 1
file:
- access_level: open_access
checksum: 04ff20011c3d9a601c514aa999a5fe1a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:13:54Z
date_updated: 2020-07-14T12:47:35Z
file_id: '5041'
file_name: IST-2017-901-v1+1_1-s2.0-S2405471217300868-main.pdf
file_size: 2438660
relation: main_file
file_date_updated: 2020-07-14T12:47:35Z
has_accepted_license: '1'
intvolume: ' 4'
issue: '4'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '04'
oa: 1
oa_version: Published Version
page: 393 - 403
project:
- _id: 25E83C2C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '303507'
name: Optimality principles in responses to antibiotics
- _id: 25E9AF9E-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P27201-B22
name: Revealing the mechanisms underlying drug interactions
- _id: 25EB3A80-B435-11E9-9278-68D0E5697425
grant_number: RGP0042/2013
name: Revealing the fundamental limits of cell growth
publication: Cell Systems
publication_identifier:
issn:
- '24054712'
publication_status: published
publisher: Cell Press
publist_id: '7061'
pubrep_id: '901'
quality_controlled: '1'
related_material:
record:
- id: '818'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Noisy response to antibiotic stress predicts subsequent single cell survival
in an acidic environment
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2017'
...
---
_id: '2016'
abstract:
- lang: eng
text: The Ising model is one of the simplest and most famous models of interacting
systems. It was originally proposed to model ferromagnetic interactions in statistical
physics and is now widely used to model spatial processes in many areas such as
ecology, sociology, and genetics, usually without testing its goodness-of-fit.
Here, we propose an exact goodness-of-fit test for the finite-lattice Ising model.
The theory of Markov bases has been developed in algebraic statistics for exact
goodness-of-fit testing using a Monte Carlo approach. However, this beautiful
theory has fallen short of its promise for applications, because finding a Markov
basis is usually computationally intractable. We develop a Monte Carlo method
for exact goodness-of-fit testing for the Ising model which avoids computing a
Markov basis and also leads to a better connectivity of the Markov chain and hence
to a faster convergence. We show how this method can be applied to analyze the
spatial organization of receptors on the cell membrane.
article_processing_charge: No
author:
- first_name: Abraham
full_name: Martin Del Campo Sanchez, Abraham
last_name: Martin Del Campo Sanchez
- first_name: Sarah A
full_name: Cepeda Humerez, Sarah A
id: 3DEE19A4-F248-11E8-B48F-1D18A9856A87
last_name: Cepeda Humerez
- first_name: Caroline
full_name: Uhler, Caroline
id: 49ADD78E-F248-11E8-B48F-1D18A9856A87
last_name: Uhler
orcid: 0000-0002-7008-0216
citation:
ama: Martin Del Campo Sanchez A, Cepeda Humerez SA, Uhler C. Exact goodness-of-fit
testing for the Ising model. Scandinavian Journal of Statistics. 2017;44(2):285-306.
doi:10.1111/sjos.12251
apa: Martin Del Campo Sanchez, A., Cepeda Humerez, S. A., & Uhler, C. (2017).
Exact goodness-of-fit testing for the Ising model. Scandinavian Journal of
Statistics. Wiley-Blackwell. https://doi.org/10.1111/sjos.12251
chicago: Martin Del Campo Sanchez, Abraham, Sarah A Cepeda Humerez, and Caroline
Uhler. “Exact Goodness-of-Fit Testing for the Ising Model.” Scandinavian Journal
of Statistics. Wiley-Blackwell, 2017. https://doi.org/10.1111/sjos.12251.
ieee: A. Martin Del Campo Sanchez, S. A. Cepeda Humerez, and C. Uhler, “Exact goodness-of-fit
testing for the Ising model,” Scandinavian Journal of Statistics, vol.
44, no. 2. Wiley-Blackwell, pp. 285–306, 2017.
ista: Martin Del Campo Sanchez A, Cepeda Humerez SA, Uhler C. 2017. Exact goodness-of-fit
testing for the Ising model. Scandinavian Journal of Statistics. 44(2), 285–306.
mla: Martin Del Campo Sanchez, Abraham, et al. “Exact Goodness-of-Fit Testing for
the Ising Model.” Scandinavian Journal of Statistics, vol. 44, no. 2, Wiley-Blackwell,
2017, pp. 285–306, doi:10.1111/sjos.12251.
short: A. Martin Del Campo Sanchez, S.A. Cepeda Humerez, C. Uhler, Scandinavian
Journal of Statistics 44 (2017) 285–306.
date_created: 2018-12-11T11:55:13Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2023-09-19T15:13:27Z
day: '01'
department:
- _id: GaTk
doi: 10.1111/sjos.12251
external_id:
arxiv:
- '1410.1242'
isi:
- '000400985000001'
intvolume: ' 44'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1410.1242
month: '06'
oa: 1
oa_version: Preprint
page: 285 - 306
publication: Scandinavian Journal of Statistics
publication_identifier:
issn:
- '03036898'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5060'
quality_controlled: '1'
related_material:
record:
- id: '6473'
relation: part_of_dissertation
status: public
scopus_import: '1'
status: public
title: Exact goodness-of-fit testing for the Ising model
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 44
year: '2017'
...
---
_id: '1104'
abstract:
- lang: eng
text: In the early visual system, cells of the same type perform the same computation
in different places of the visual field. How these cells code together a complex
visual scene is unclear. A common assumption is that cells of a single-type extract
a single-stimulus feature to form a feature map, but this has rarely been observed
directly. Using large-scale recordings in the rat retina, we show that a homogeneous
population of fast OFF ganglion cells simultaneously encodes two radically different
features of a visual scene. Cells close to a moving object code quasilinearly
for its position, while distant cells remain largely invariant to the object's
position and, instead, respond nonlinearly to changes in the object's speed. We
develop a quantitative model that accounts for this effect and identify a disinhibitory
circuit that mediates it. Ganglion cells of a single type thus do not code for
one, but two features simultaneously. This richer, flexible neural map might also
be present in other sensory systems.
article_number: '1964'
article_processing_charge: No
author:
- first_name: Stephane
full_name: Deny, Stephane
last_name: Deny
- first_name: Ulisse
full_name: Ferrari, Ulisse
last_name: Ferrari
- first_name: Emilie
full_name: Mace, Emilie
last_name: Mace
- first_name: Pierre
full_name: Yger, Pierre
last_name: Yger
- first_name: Romain
full_name: Caplette, Romain
last_name: Caplette
- first_name: Serge
full_name: Picaud, Serge
last_name: Picaud
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Olivier
full_name: Marre, Olivier
last_name: Marre
citation:
ama: Deny S, Ferrari U, Mace E, et al. Multiplexed computations in retinal ganglion
cells of a single type. Nature Communications. 2017;8(1). doi:10.1038/s41467-017-02159-y
apa: Deny, S., Ferrari, U., Mace, E., Yger, P., Caplette, R., Picaud, S., … Marre,
O. (2017). Multiplexed computations in retinal ganglion cells of a single type.
Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-02159-y
chicago: Deny, Stephane, Ulisse Ferrari, Emilie Mace, Pierre Yger, Romain Caplette,
Serge Picaud, Gašper Tkačik, and Olivier Marre. “Multiplexed Computations in Retinal
Ganglion Cells of a Single Type.” Nature Communications. Nature Publishing
Group, 2017. https://doi.org/10.1038/s41467-017-02159-y.
ieee: S. Deny et al., “Multiplexed computations in retinal ganglion cells
of a single type,” Nature Communications, vol. 8, no. 1. Nature Publishing
Group, 2017.
ista: Deny S, Ferrari U, Mace E, Yger P, Caplette R, Picaud S, Tkačik G, Marre O.
2017. Multiplexed computations in retinal ganglion cells of a single type. Nature
Communications. 8(1), 1964.
mla: Deny, Stephane, et al. “Multiplexed Computations in Retinal Ganglion Cells
of a Single Type.” Nature Communications, vol. 8, no. 1, 1964, Nature Publishing
Group, 2017, doi:10.1038/s41467-017-02159-y.
short: S. Deny, U. Ferrari, E. Mace, P. Yger, R. Caplette, S. Picaud, G. Tkačik,
O. Marre, Nature Communications 8 (2017).
date_created: 2018-12-11T11:50:10Z
date_published: 2017-12-06T00:00:00Z
date_updated: 2023-09-20T11:41:19Z
day: '06'
ddc:
- '571'
department:
- _id: GaTk
doi: 10.1038/s41467-017-02159-y
ec_funded: 1
external_id:
isi:
- '000417241200004'
file:
- access_level: open_access
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:06Z
date_updated: 2018-12-12T10:16:06Z
file_id: '5191'
file_name: IST-2018-921-v1+1_s41467-017-02159-y.pdf
file_size: 2872887
relation: main_file
file_date_updated: 2018-12-12T10:16:06Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25CD3DD2-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '604102'
name: Localization of ion channels and receptors by two and three-dimensional immunoelectron
microscopic approaches
- _id: 254D1A94-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 25651-N26
name: Sensitivity to higher-order statistics in natural scenes
publication: Nature Communications
publication_identifier:
issn:
- '20411723'
publication_status: published
publisher: Nature Publishing Group
publist_id: '6266'
pubrep_id: '921'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Multiplexed computations in retinal ganglion cells of a single type
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2017'
...
---
_id: '993'
abstract:
- lang: eng
text: In real-world applications, observations are often constrained to a small
fraction of a system. Such spatial subsampling can be caused by the inaccessibility
or the sheer size of the system, and cannot be overcome by longer sampling. Spatial
subsampling can strongly bias inferences about a system’s aggregated properties.
To overcome the bias, we derive analytically a subsampling scaling framework that
is applicable to different observables, including distributions of neuronal avalanches,
of number of people infected during an epidemic outbreak, and of node degrees.
We demonstrate how to infer the correct distributions of the underlying full system,
how to apply it to distinguish critical from subcritical systems, and how to disentangle
subsampling and finite size effects. Lastly, we apply subsampling scaling to neuronal
avalanche models and to recordings from developing neural networks. We show that
only mature, but not young networks follow power-law scaling, indicating self-organization
to criticality during development.
article_number: '15140'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Anna
full_name: Levina (Martius), Anna
id: 35AF8020-F248-11E8-B48F-1D18A9856A87
last_name: Levina (Martius)
- first_name: Viola
full_name: Priesemann, Viola
last_name: Priesemann
citation:
ama: Levina (Martius) A, Priesemann V. Subsampling scaling. Nature Communications.
2017;8. doi:10.1038/ncomms15140
apa: Levina (Martius), A., & Priesemann, V. (2017). Subsampling scaling. Nature
Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms15140
chicago: Levina (Martius), Anna, and Viola Priesemann. “Subsampling Scaling.” Nature
Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/ncomms15140.
ieee: A. Levina (Martius) and V. Priesemann, “Subsampling scaling,” Nature Communications,
vol. 8. Nature Publishing Group, 2017.
ista: Levina (Martius) A, Priesemann V. 2017. Subsampling scaling. Nature Communications.
8, 15140.
mla: Levina (Martius), Anna, and Viola Priesemann. “Subsampling Scaling.” Nature
Communications, vol. 8, 15140, Nature Publishing Group, 2017, doi:10.1038/ncomms15140.
short: A. Levina (Martius), V. Priesemann, Nature Communications 8 (2017).
date_created: 2018-12-11T11:49:35Z
date_published: 2017-05-04T00:00:00Z
date_updated: 2023-09-22T09:54:07Z
day: '04'
ddc:
- '005'
- '571'
department:
- _id: GaTk
- _id: JoCs
doi: 10.1038/ncomms15140
ec_funded: 1
external_id:
isi:
- '000400560700001'
file:
- access_level: open_access
checksum: 9880212f8c4c53404c7c6fbf9023c53a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:05Z
date_updated: 2020-07-14T12:48:19Z
file_id: '5122'
file_name: IST-2017-819-v1+1_2017_Levina_SubsamplingScaling.pdf
file_size: 746224
relation: main_file
file_date_updated: 2020-07-14T12:48:19Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Nature Communications
publication_identifier:
issn:
- '20411723'
publication_status: published
publisher: Nature Publishing Group
publist_id: '6406'
pubrep_id: '819'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Subsampling scaling
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2017'
...
---
_id: '955'
abstract:
- lang: eng
text: 'Gene expression is controlled by networks of regulatory proteins that interact
specifically with external signals and DNA regulatory sequences. These interactions
force the network components to co-evolve so as to continually maintain function.
Yet, existing models of evolution mostly focus on isolated genetic elements. In
contrast, we study the essential process by which regulatory networks grow: the
duplication and subsequent specialization of network components. We synthesize
a biophysical model of molecular interactions with the evolutionary framework
to find the conditions and pathways by which new regulatory functions emerge.
We show that specialization of new network components is usually slow, but can
be drastically accelerated in the presence of regulatory crosstalk and mutations
that promote promiscuous interactions between network components.'
article_number: '216'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Friedlander T, Prizak R, Barton NH, Tkačik G. Evolution of new regulatory functions
on biophysically realistic fitness landscapes. Nature Communications. 2017;8(1).
doi:10.1038/s41467-017-00238-8
apa: Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution
of new regulatory functions on biophysically realistic fitness landscapes. Nature
Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8
chicago: Friedlander, Tamar, Roshan Prizak, Nicholas H Barton, and Gašper Tkačik.
“Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.”
Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/s41467-017-00238-8.
ieee: T. Friedlander, R. Prizak, N. H. Barton, and G. Tkačik, “Evolution of new
regulatory functions on biophysically realistic fitness landscapes,” Nature
Communications, vol. 8, no. 1. Nature Publishing Group, 2017.
ista: Friedlander T, Prizak R, Barton NH, Tkačik G. 2017. Evolution of new regulatory
functions on biophysically realistic fitness landscapes. Nature Communications.
8(1), 216.
mla: Friedlander, Tamar, et al. “Evolution of New Regulatory Functions on Biophysically
Realistic Fitness Landscapes.” Nature Communications, vol. 8, no. 1, 216,
Nature Publishing Group, 2017, doi:10.1038/s41467-017-00238-8.
short: T. Friedlander, R. Prizak, N.H. Barton, G. Tkačik, Nature Communications
8 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-08-09T00:00:00Z
date_updated: 2023-09-22T10:00:49Z
day: '09'
ddc:
- '539'
- '576'
department:
- _id: GaTk
- _id: NiBa
doi: 10.1038/s41467-017-00238-8
ec_funded: 1
external_id:
isi:
- '000407198800005'
file:
- access_level: open_access
checksum: 29a1b5db458048d3bd5c67e0e2a56818
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:14Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5064'
file_name: IST-2017-864-v1+1_s41467-017-00238-8.pdf
file_size: 998157
relation: main_file
- access_level: open_access
checksum: 7b78401e52a576cf3e6bbf8d0abadc17
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:15Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5065'
file_name: IST-2017-864-v1+2_41467_2017_238_MOESM1_ESM.pdf
file_size: 9715993
relation: main_file
file_date_updated: 2020-07-14T12:48:16Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '1'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_identifier:
issn:
- '20411723'
publication_status: published
publisher: Nature Publishing Group
publist_id: '6459'
pubrep_id: '864'
quality_controlled: '1'
related_material:
record:
- id: '6071'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Evolution of new regulatory functions on biophysically realistic fitness landscapes
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2017'
...
---
_id: '959'
abstract:
- lang: eng
text: In this work it is shown that scale-free tails in metabolic flux distributions
inferred in stationary models are an artifact due to reactions involved in thermodynamically
unfeasible cycles, unbounded by physical constraints and in principle able to
perform work without expenditure of free energy. After implementing thermodynamic
constraints by removing such loops, metabolic flux distributions scale meaningfully
with the physical limiting factors, acquiring in turn a richer multimodal structure
potentially leading to symmetry breaking while optimizing for objective functions.
article_processing_charge: No
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
citation:
ama: De Martino D. Scales and multimodal flux distributions in stationary metabolic
network models via thermodynamics. Physical Review E Statistical Nonlinear
and Soft Matter Physics . 2017;95(6):062419. doi:10.1103/PhysRevE.95.062419
apa: De Martino, D. (2017). Scales and multimodal flux distributions in stationary
metabolic network models via thermodynamics. Physical Review E Statistical
Nonlinear and Soft Matter Physics . American Institute of Physics. https://doi.org/10.1103/PhysRevE.95.062419
chicago: De Martino, Daniele. “Scales and Multimodal Flux Distributions in Stationary
Metabolic Network Models via Thermodynamics.” Physical Review E Statistical
Nonlinear and Soft Matter Physics . American Institute of Physics, 2017. https://doi.org/10.1103/PhysRevE.95.062419.
ieee: D. De Martino, “Scales and multimodal flux distributions in stationary metabolic
network models via thermodynamics,” Physical Review E Statistical Nonlinear
and Soft Matter Physics , vol. 95, no. 6. American Institute of Physics, p.
062419, 2017.
ista: De Martino D. 2017. Scales and multimodal flux distributions in stationary
metabolic network models via thermodynamics. Physical Review E Statistical Nonlinear
and Soft Matter Physics . 95(6), 062419.
mla: De Martino, Daniele. “Scales and Multimodal Flux Distributions in Stationary
Metabolic Network Models via Thermodynamics.” Physical Review E Statistical
Nonlinear and Soft Matter Physics , vol. 95, no. 6, American Institute of
Physics, 2017, p. 062419, doi:10.1103/PhysRevE.95.062419.
short: D. De Martino, Physical Review E Statistical Nonlinear and Soft Matter Physics 95
(2017) 062419.
date_created: 2018-12-11T11:49:25Z
date_published: 2017-06-28T00:00:00Z
date_updated: 2023-09-22T09:59:01Z
day: '28'
department:
- _id: GaTk
doi: 10.1103/PhysRevE.95.062419
ec_funded: 1
external_id:
isi:
- '000404546400004'
intvolume: ' 95'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/1703.00853.pdf
month: '06'
oa: 1
oa_version: Submitted Version
page: '062419'
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: ' Physical Review E Statistical Nonlinear and Soft Matter Physics '
publication_identifier:
issn:
- '24700045'
publication_status: published
publisher: American Institute of Physics
publist_id: '6446'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Scales and multimodal flux distributions in stationary metabolic network models
via thermodynamics
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 95
year: '2017'
...
---
_id: '947'
abstract:
- lang: eng
text: Viewing the ways a living cell can organize its metabolism as the phase space
of a physical system, regulation can be seen as the ability to reduce the entropy
of that space by selecting specific cellular configurations that are, in some
sense, optimal. Here we quantify the amount of regulation required to control
a cell's growth rate by a maximum-entropy approach to the space of underlying
metabolic phenotypes, where a configuration corresponds to a metabolic flux pattern
as described by genome-scale models. We link the mean growth rate achieved by
a population of cells to the minimal amount of metabolic regulation needed to
achieve it through a phase diagram that highlights how growth suppression can
be as costly (in regulatory terms) as growth enhancement. Moreover, we provide
an interpretation of the inverse temperature β controlling maximum-entropy distributions
based on the underlying growth dynamics. Specifically, we show that the asymptotic
value of β for a cell population can be expected to depend on (i) the carrying
capacity of the environment, (ii) the initial size of the colony, and (iii) the
probability distribution from which the inoculum was sampled. Results obtained
for E. coli and human cells are found to be remarkably consistent with empirical
evidence.
article_number: '010401'
article_processing_charge: No
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
- first_name: Fabrizio
full_name: Capuani, Fabrizio
last_name: Capuani
- first_name: Andrea
full_name: De Martino, Andrea
last_name: De Martino
citation:
ama: De Martino D, Capuani F, De Martino A. Quantifying the entropic cost of cellular
growth control. Physical Review E Statistical Nonlinear and Soft Matter Physics
. 2017;96(1). doi:10.1103/PhysRevE.96.010401
apa: De Martino, D., Capuani, F., & De Martino, A. (2017). Quantifying the entropic
cost of cellular growth control. Physical Review E Statistical Nonlinear and
Soft Matter Physics . American Institute of Physics. https://doi.org/10.1103/PhysRevE.96.010401
chicago: De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Quantifying
the Entropic Cost of Cellular Growth Control.” Physical Review E Statistical
Nonlinear and Soft Matter Physics . American Institute of Physics, 2017. https://doi.org/10.1103/PhysRevE.96.010401.
ieee: D. De Martino, F. Capuani, and A. De Martino, “Quantifying the entropic cost
of cellular growth control,” Physical Review E Statistical Nonlinear and Soft
Matter Physics , vol. 96, no. 1. American Institute of Physics, 2017.
ista: De Martino D, Capuani F, De Martino A. 2017. Quantifying the entropic cost
of cellular growth control. Physical Review E Statistical Nonlinear and Soft
Matter Physics . 96(1), 010401.
mla: De Martino, Daniele, et al. “Quantifying the Entropic Cost of Cellular Growth
Control.” Physical Review E Statistical Nonlinear and Soft Matter Physics
, vol. 96, no. 1, 010401, American Institute of Physics, 2017, doi:10.1103/PhysRevE.96.010401.
short: D. De Martino, F. Capuani, A. De Martino, Physical Review E Statistical
Nonlinear and Soft Matter Physics 96 (2017).
date_created: 2018-12-11T11:49:21Z
date_published: 2017-07-10T00:00:00Z
date_updated: 2023-09-22T10:03:50Z
day: '10'
department:
- _id: GaTk
doi: 10.1103/PhysRevE.96.010401
ec_funded: 1
external_id:
isi:
- '000405194200002'
intvolume: ' 96'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1703.00219
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: ' Physical Review E Statistical Nonlinear and Soft Matter Physics '
publication_identifier:
issn:
- '24700045'
publication_status: published
publisher: American Institute of Physics
publist_id: '6470'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Quantifying the entropic cost of cellular growth control
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 96
year: '2017'
...
---
_id: '943'
abstract:
- lang: eng
text: Like many developing tissues, the vertebrate neural tube is patterned by antiparallel
morphogen gradients. To understand how these inputs are interpreted, we measured
morphogen signaling and target gene expression in mouse embryos and chick ex vivo
assays. From these data, we derived and validated a characteristic decoding map
that relates morphogen input to the positional identity of neural progenitors.
Analysis of the observed responses indicates that the underlying interpretation
strategy minimizes patterning errors in response to the joint input of noisy opposing
gradients. We reverse-engineered a transcriptional network that provides a mechanistic
basis for the observed cell fate decisions and accounts for the precision and
dynamics of pattern formation. Together, our data link opposing gradient dynamics
in a growing tissue to precise pattern formation.
article_processing_charge: No
author:
- first_name: Marcin P
full_name: Zagórski, Marcin P
id: 343DA0DC-F248-11E8-B48F-1D18A9856A87
last_name: Zagórski
orcid: 0000-0001-7896-7762
- first_name: Yoji
full_name: Tabata, Yoji
last_name: Tabata
- first_name: Nathalie
full_name: Brandenberg, Nathalie
last_name: Brandenberg
- first_name: Matthias
full_name: Lutolf, Matthias
last_name: Lutolf
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Tobias
full_name: Bollenbach, Tobias
last_name: Bollenbach
- first_name: James
full_name: Briscoe, James
last_name: Briscoe
- first_name: Anna
full_name: Kicheva, Anna
id: 3959A2A0-F248-11E8-B48F-1D18A9856A87
last_name: Kicheva
orcid: 0000-0003-4509-4998
citation:
ama: Zagórski MP, Tabata Y, Brandenberg N, et al. Decoding of position in the developing
neural tube from antiparallel morphogen gradients. Science. 2017;356(6345):1379-1383.
doi:10.1126/science.aam5887
apa: Zagórski, M. P., Tabata, Y., Brandenberg, N., Lutolf, M., Tkačik, G., Bollenbach,
T., … Kicheva, A. (2017). Decoding of position in the developing neural tube from
antiparallel morphogen gradients. Science. American Association for the
Advancement of Science. https://doi.org/10.1126/science.aam5887
chicago: Zagórski, Marcin P, Yoji Tabata, Nathalie Brandenberg, Matthias Lutolf,
Gašper Tkačik, Tobias Bollenbach, James Briscoe, and Anna Kicheva. “Decoding of
Position in the Developing Neural Tube from Antiparallel Morphogen Gradients.”
Science. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/science.aam5887.
ieee: M. P. Zagórski et al., “Decoding of position in the developing neural
tube from antiparallel morphogen gradients,” Science, vol. 356, no. 6345.
American Association for the Advancement of Science, pp. 1379–1383, 2017.
ista: Zagórski MP, Tabata Y, Brandenberg N, Lutolf M, Tkačik G, Bollenbach T, Briscoe
J, Kicheva A. 2017. Decoding of position in the developing neural tube from antiparallel
morphogen gradients. Science. 356(6345), 1379–1383.
mla: Zagórski, Marcin P., et al. “Decoding of Position in the Developing Neural
Tube from Antiparallel Morphogen Gradients.” Science, vol. 356, no. 6345,
American Association for the Advancement of Science, 2017, pp. 1379–83, doi:10.1126/science.aam5887.
short: M.P. Zagórski, Y. Tabata, N. Brandenberg, M. Lutolf, G. Tkačik, T. Bollenbach,
J. Briscoe, A. Kicheva, Science 356 (2017) 1379–1383.
date_created: 2018-12-11T11:49:20Z
date_published: 2017-06-30T00:00:00Z
date_updated: 2023-09-26T15:38:05Z
day: '30'
department:
- _id: AnKi
- _id: GaTk
doi: 10.1126/science.aam5887
ec_funded: 1
external_id:
isi:
- '000404351500036'
pmid:
- '28663499'
intvolume: ' 356'
isi: 1
issue: '6345'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568706/
month: '06'
oa: 1
oa_version: Submitted Version
page: 1379 - 1383
pmid: 1
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
- _id: B6FC0238-B512-11E9-945C-1524E6697425
call_identifier: H2020
grant_number: '680037'
name: Coordination of Patterning And Growth In the Spinal Cord
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2524F500-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '201439'
name: Developing High-Throughput Bioassays for Human Cancers in Zebrafish
publication: Science
publication_identifier:
issn:
- '00368075'
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '6474'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Decoding of position in the developing neural tube from antiparallel morphogen
gradients
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 356
year: '2017'
...
---
_id: '823'
abstract:
- lang: eng
text: The resolution of a linear system with positive integer variables is a basic
yet difficult computational problem with many applications. We consider sparse
uncorrelated random systems parametrised by the density c and the ratio α=N/M
between number of variables N and number of constraints M. By means of ensemble
calculations we show that the space of feasible solutions endows a Van-Der-Waals
phase diagram in the plane (c, α). We give numerical evidence that the associated
computational problems become more difficult across the critical point and in
particular in the coexistence region.
article_number: '093404'
article_processing_charge: No
author:
- first_name: Simona
full_name: Colabrese, Simona
last_name: Colabrese
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
- first_name: Luca
full_name: Leuzzi, Luca
last_name: Leuzzi
- first_name: Enzo
full_name: Marinari, Enzo
last_name: Marinari
citation:
ama: 'Colabrese S, De Martino D, Leuzzi L, Marinari E. Phase transitions in integer
linear problems. Journal of Statistical Mechanics: Theory and Experiment.
2017;2017(9). doi:10.1088/1742-5468/aa85c3'
apa: 'Colabrese, S., De Martino, D., Leuzzi, L., & Marinari, E. (2017). Phase
transitions in integer linear problems. Journal of Statistical Mechanics:
Theory and Experiment. IOPscience. https://doi.org/10.1088/1742-5468/aa85c3'
chicago: 'Colabrese, Simona, Daniele De Martino, Luca Leuzzi, and Enzo Marinari.
“Phase Transitions in Integer Linear Problems.” Journal of Statistical Mechanics:
Theory and Experiment. IOPscience, 2017. https://doi.org/10.1088/1742-5468/aa85c3.'
ieee: 'S. Colabrese, D. De Martino, L. Leuzzi, and E. Marinari, “Phase transitions
in integer linear problems,” Journal of Statistical Mechanics: Theory and
Experiment, vol. 2017, no. 9. IOPscience, 2017.'
ista: 'Colabrese S, De Martino D, Leuzzi L, Marinari E. 2017. Phase transitions
in integer linear problems. Journal of Statistical Mechanics: Theory and Experiment.
2017(9), 093404.'
mla: 'Colabrese, Simona, et al. “Phase Transitions in Integer Linear Problems.”
Journal of Statistical Mechanics: Theory and Experiment, vol. 2017, no.
9, 093404, IOPscience, 2017, doi:10.1088/1742-5468/aa85c3.'
short: 'S. Colabrese, D. De Martino, L. Leuzzi, E. Marinari, Journal of Statistical
Mechanics: Theory and Experiment 2017 (2017).'
date_created: 2018-12-11T11:48:41Z
date_published: 2017-09-26T00:00:00Z
date_updated: 2023-09-26T16:18:12Z
day: '26'
department:
- _id: GaTk
doi: 10.1088/1742-5468/aa85c3
ec_funded: 1
external_id:
isi:
- '000411842900001'
intvolume: ' 2017'
isi: 1
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1705.06303
month: '09'
oa: 1
oa_version: Submitted Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: ' Journal of Statistical Mechanics: Theory and Experiment'
publication_identifier:
issn:
- '17425468'
publication_status: published
publisher: IOPscience
publist_id: '6826'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Phase transitions in integer linear problems
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2017
year: '2017'
...
---
_id: '730'
abstract:
- lang: eng
text: Neural responses are highly structured, with population activity restricted
to a small subset of the astronomical range of possible activity patterns. Characterizing
these statistical regularities is important for understanding circuit computation,
but challenging in practice. Here we review recent approaches based on the maximum
entropy principle used for quantifying collective behavior in neural activity.
We highlight recent models that capture population-level statistics of neural
data, yielding insights into the organization of the neural code and its biological
substrate. Furthermore, the MaxEnt framework provides a general recipe for constructing
surrogate ensembles that preserve aspects of the data, but are otherwise maximally
unstructured. This idea can be used to generate a hierarchy of controls against
which rigorous statistical tests are possible.
article_processing_charge: No
author:
- first_name: Cristina
full_name: Savin, Cristina
id: 3933349E-F248-11E8-B48F-1D18A9856A87
last_name: Savin
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Savin C, Tkačik G. Maximum entropy models as a tool for building precise neural
controls. Current Opinion in Neurobiology. 2017;46:120-126. doi:10.1016/j.conb.2017.08.001
apa: Savin, C., & Tkačik, G. (2017). Maximum entropy models as a tool for building
precise neural controls. Current Opinion in Neurobiology. Elsevier. https://doi.org/10.1016/j.conb.2017.08.001
chicago: Savin, Cristina, and Gašper Tkačik. “Maximum Entropy Models as a Tool for
Building Precise Neural Controls.” Current Opinion in Neurobiology. Elsevier,
2017. https://doi.org/10.1016/j.conb.2017.08.001.
ieee: C. Savin and G. Tkačik, “Maximum entropy models as a tool for building precise
neural controls,” Current Opinion in Neurobiology, vol. 46. Elsevier, pp.
120–126, 2017.
ista: Savin C, Tkačik G. 2017. Maximum entropy models as a tool for building precise
neural controls. Current Opinion in Neurobiology. 46, 120–126.
mla: Savin, Cristina, and Gašper Tkačik. “Maximum Entropy Models as a Tool for Building
Precise Neural Controls.” Current Opinion in Neurobiology, vol. 46, Elsevier,
2017, pp. 120–26, doi:10.1016/j.conb.2017.08.001.
short: C. Savin, G. Tkačik, Current Opinion in Neurobiology 46 (2017) 120–126.
date_created: 2018-12-11T11:48:11Z
date_published: 2017-10-01T00:00:00Z
date_updated: 2023-09-28T11:32:22Z
day: '01'
department:
- _id: GaTk
doi: 10.1016/j.conb.2017.08.001
ec_funded: 1
external_id:
isi:
- '000416196400016'
intvolume: ' 46'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
page: 120 - 126
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Current Opinion in Neurobiology
publication_identifier:
issn:
- '09594388'
publication_status: published
publisher: Elsevier
publist_id: '6943'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Maximum entropy models as a tool for building precise neural controls
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 46
year: '2017'
...
---
_id: '548'
abstract:
- lang: eng
text: In this work maximum entropy distributions in the space of steady states of
metabolic networks are considered upon constraining the first and second moments
of the growth rate. Coexistence of fast and slow phenotypes, with bimodal flux
distributions, emerges upon considering control on the average growth (optimization)
and its fluctuations (heterogeneity). This is applied to the carbon catabolic
core of Escherichia coli where it quantifies the metabolic activity of slow growing
phenotypes and it provides a quantitative map with metabolic fluxes, opening the
possibility to detect coexistence from flux data. A preliminary analysis on data
for E. coli cultures in standard conditions shows degeneracy for the inferred
parameters that extend in the coexistence region.
alternative_title:
- Rapid Communications
article_number: '060401'
article_processing_charge: No
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
citation:
ama: De Martino D. Maximum entropy modeling of metabolic networks by constraining
growth-rate moments predicts coexistence of phenotypes. Physical Review E.
2017;96(6). doi:10.1103/PhysRevE.96.060401
apa: De Martino, D. (2017). Maximum entropy modeling of metabolic networks by constraining
growth-rate moments predicts coexistence of phenotypes. Physical Review E.
American Physical Society. https://doi.org/10.1103/PhysRevE.96.060401
chicago: De Martino, Daniele. “Maximum Entropy Modeling of Metabolic Networks by
Constraining Growth-Rate Moments Predicts Coexistence of Phenotypes.” Physical
Review E. American Physical Society, 2017. https://doi.org/10.1103/PhysRevE.96.060401.
ieee: D. De Martino, “Maximum entropy modeling of metabolic networks by constraining
growth-rate moments predicts coexistence of phenotypes,” Physical Review E,
vol. 96, no. 6. American Physical Society, 2017.
ista: De Martino D. 2017. Maximum entropy modeling of metabolic networks by constraining
growth-rate moments predicts coexistence of phenotypes. Physical Review E. 96(6),
060401.
mla: De Martino, Daniele. “Maximum Entropy Modeling of Metabolic Networks by Constraining
Growth-Rate Moments Predicts Coexistence of Phenotypes.” Physical Review E,
vol. 96, no. 6, 060401, American Physical Society, 2017, doi:10.1103/PhysRevE.96.060401.
short: D. De Martino, Physical Review E 96 (2017).
date_created: 2018-12-11T11:47:06Z
date_published: 2017-12-21T00:00:00Z
date_updated: 2023-10-10T13:29:38Z
day: '21'
department:
- _id: GaTk
doi: 10.1103/PhysRevE.96.060401
ec_funded: 1
intvolume: ' 96'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1707.00320
month: '12'
oa: 1
oa_version: Submitted Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Physical Review E
publication_identifier:
issn:
- 2470-0045
publication_status: published
publisher: American Physical Society
publist_id: '7266'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Maximum entropy modeling of metabolic networks by constraining growth-rate
moments predicts coexistence of phenotypes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 96
year: '2017'
...
---
_id: '1007'
abstract:
- lang: eng
text: 'A nonlinear system possesses an invariance with respect to a set of transformations
if its output dynamics remain invariant when transforming the input, and adjusting
the initial condition accordingly. Most research has focused on invariances with
respect to time-independent pointwise transformations like translational-invariance
(u(t) -> u(t) + p, p in R) or scale-invariance (u(t) -> pu(t), p in R>0).
In this article, we introduce the concept of s0-invariances with respect to continuous
input transformations exponentially growing/decaying over time. We show that s0-invariant
systems not only encompass linear time-invariant (LTI) systems with transfer functions
having an irreducible zero at s0 in R, but also that the input/output relationship
of nonlinear s0-invariant systems possesses properties well known from their linear
counterparts. Furthermore, we extend the concept of s0-invariances to second-
and higher-order s0-invariances, corresponding to invariances with respect to
transformations of the time-derivatives of the input, and encompassing LTI systems
with zeros of multiplicity two or higher. Finally, we show that nth-order 0-invariant
systems realize – under mild conditions – nth-order nonlinear differential operators:
when excited by an input of a characteristic functional form, the system’s output
converges to a constant value only depending on the nth (nonlinear) derivative
of the input.'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Eduardo
full_name: Sontag, Eduardo
last_name: Sontag
citation:
ama: Lang M, Sontag E. Zeros of nonlinear systems with input invariances. Automatica.
2017;81C:46-55. doi:10.1016/j.automatica.2017.03.030
apa: Lang, M., & Sontag, E. (2017). Zeros of nonlinear systems with input invariances.
Automatica. International Federation of Automatic Control. https://doi.org/10.1016/j.automatica.2017.03.030
chicago: Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input
Invariances.” Automatica. International Federation of Automatic Control,
2017. https://doi.org/10.1016/j.automatica.2017.03.030.
ieee: M. Lang and E. Sontag, “Zeros of nonlinear systems with input invariances,”
Automatica, vol. 81C. International Federation of Automatic Control, pp.
46–55, 2017.
ista: Lang M, Sontag E. 2017. Zeros of nonlinear systems with input invariances.
Automatica. 81C, 46–55.
mla: Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input Invariances.”
Automatica, vol. 81C, International Federation of Automatic Control, 2017,
pp. 46–55, doi:10.1016/j.automatica.2017.03.030.
short: M. Lang, E. Sontag, Automatica 81C (2017) 46–55.
date_created: 2018-12-11T11:49:39Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2023-10-17T08:51:18Z
day: '01'
ddc:
- '000'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1016/j.automatica.2017.03.030
ec_funded: 1
external_id:
isi:
- '000403513900006'
file:
- access_level: open_access
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:29Z
date_updated: 2018-12-12T10:11:29Z
file_id: '4884'
file_name: IST-2017-813-v1+1_ZerosOfNonlinearSystems.pdf
file_size: 1401954
relation: main_file
file_date_updated: 2018-12-12T10:11:29Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 46 - 55
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
publisher: International Federation of Automatic Control
publist_id: '6391'
pubrep_id: '813'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Zeros of nonlinear systems with input invariances
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 81C
year: '2017'
...
---
_id: '665'
abstract:
- lang: eng
text: The molecular mechanisms underlying phenotypic variation in isogenic bacterial
populations remain poorly understood.We report that AcrAB-TolC, the main multidrug
efflux pump of Escherichia coli, exhibits a strong partitioning bias for old cell
poles by a segregation mechanism that is mediated by ternary AcrAB-TolC complex
formation. Mother cells inheriting old poles are phenotypically distinct and display
increased drug efflux activity relative to daughters. Consequently, we find systematic
and long-lived growth differences between mother and daughter cells in the presence
of subinhibitory drug concentrations. A simple model for biased partitioning predicts
a population structure of long-lived and highly heterogeneous phenotypes. This
straightforward mechanism of generating sustained growth rate differences at subinhibitory
antibiotic concentrations has implications for understanding the emergence of
multidrug resistance in bacteria.
article_processing_charge: No
article_type: original
author:
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Anna M
full_name: Andersson, Anna M
id: 2B8A40DA-F248-11E8-B48F-1D18A9856A87
last_name: Andersson
orcid: 0000-0003-2912-6769
- first_name: Kathrin
full_name: Tomasek, Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
orcid: 0000-0003-3768-877X
- first_name: Enrique
full_name: Balleza, Enrique
last_name: Balleza
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multidrug
efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science.
2017;356(6335):311-315. doi:10.1126/science.aaf4762
apa: Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild,
R., … Guet, C. C. (2017). Biased partitioning of the multidrug efflux pump AcrAB
TolC underlies long lived phenotypic heterogeneity. Science. American Association
for the Advancement of Science. https://doi.org/10.1126/science.aaf4762
chicago: Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza,
Daniel Kiviet, Robert Hauschild, Gašper Tkačik, and Calin C Guet. “Biased Partitioning
of the Multidrug Efflux Pump AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.”
Science. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/science.aaf4762.
ieee: T. Bergmiller et al., “Biased partitioning of the multidrug efflux
pump AcrAB TolC underlies long lived phenotypic heterogeneity,” Science,
vol. 356, no. 6335. American Association for the Advancement of Science, pp. 311–315,
2017.
ista: Bergmiller T, Andersson AM, Tomasek K, Balleza E, Kiviet D, Hauschild R, Tkačik
G, Guet CC. 2017. Biased partitioning of the multidrug efflux pump AcrAB TolC
underlies long lived phenotypic heterogeneity. Science. 356(6335), 311–315.
mla: Bergmiller, Tobias, et al. “Biased Partitioning of the Multidrug Efflux Pump
AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.” Science, vol.
356, no. 6335, American Association for the Advancement of Science, 2017, pp.
311–15, doi:10.1126/science.aaf4762.
short: T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild,
G. Tkačik, C.C. Guet, Science 356 (2017) 311–315.
date_created: 2018-12-11T11:47:48Z
date_published: 2017-04-21T00:00:00Z
date_updated: 2024-02-21T13:49:00Z
day: '21'
department:
- _id: CaGu
- _id: GaTk
- _id: Bio
doi: 10.1126/science.aaf4762
intvolume: ' 356'
issue: '6335'
language:
- iso: eng
month: '04'
oa_version: None
page: 311 - 315
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Science
publication_identifier:
issn:
- '00368075'
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '7064'
quality_controlled: '1'
related_material:
record:
- id: '5560'
relation: popular_science
status: public
scopus_import: 1
status: public
title: Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long
lived phenotypic heterogeneity
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 356
year: '2017'
...
---
_id: '735'
abstract:
- lang: eng
text: Cell-cell contact formation constitutes an essential step in evolution, leading
to the differentiation of specialized cell types. However, remarkably little is
known about whether and how the interplay between contact formation and fate specification
affects development. Here, we identify a positive feedback loop between cell-cell
contact duration, morphogen signaling, and mesendoderm cell-fate specification
during zebrafish gastrulation. We show that long-lasting cell-cell contacts enhance
the competence of prechordal plate (ppl) progenitor cells to respond to Nodal
signaling, required for ppl cell-fate specification. We further show that Nodal
signaling promotes ppl cell-cell contact duration, generating a positive feedback
loop between ppl cell-cell contact duration and cell-fate specification. Finally,
by combining mathematical modeling and experimentation, we show that this feedback
determines whether anterior axial mesendoderm cells become ppl or, instead, turn
into endoderm. Thus, the interdependent activities of cell-cell signaling and
contact formation control fate diversification within the developing embryo.
article_processing_charge: No
author:
- first_name: Vanessa
full_name: Barone, Vanessa
id: 419EECCC-F248-11E8-B48F-1D18A9856A87
last_name: Barone
orcid: 0000-0003-2676-3367
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Gabriel
full_name: Krens, Gabriel
id: 2B819732-F248-11E8-B48F-1D18A9856A87
last_name: Krens
orcid: 0000-0003-4761-5996
- first_name: Saurabh
full_name: Pradhan, Saurabh
last_name: Pradhan
- first_name: Shayan
full_name: Shamipour, Shayan
id: 40B34FE2-F248-11E8-B48F-1D18A9856A87
last_name: Shamipour
- first_name: Keisuke
full_name: Sako, Keisuke
id: 3BED66BE-F248-11E8-B48F-1D18A9856A87
last_name: Sako
orcid: 0000-0002-6453-8075
- first_name: Mateusz K
full_name: Sikora, Mateusz K
id: 2F74BCDE-F248-11E8-B48F-1D18A9856A87
last_name: Sikora
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- 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
citation:
ama: Barone V, Lang M, Krens G, et al. An effective feedback loop between cell-cell
contact duration and morphogen signaling determines cell fate. Developmental
Cell. 2017;43(2):198-211. doi:10.1016/j.devcel.2017.09.014
apa: Barone, V., Lang, M., Krens, G., Pradhan, S., Shamipour, S., Sako, K., … Heisenberg,
C.-P. J. (2017). An effective feedback loop between cell-cell contact duration
and morphogen signaling determines cell fate. Developmental Cell. Cell
Press. https://doi.org/10.1016/j.devcel.2017.09.014
chicago: Barone, Vanessa, Moritz Lang, Gabriel Krens, Saurabh Pradhan, Shayan Shamipour,
Keisuke Sako, Mateusz K Sikora, Calin C Guet, and Carl-Philipp J Heisenberg. “An
Effective Feedback Loop between Cell-Cell Contact Duration and Morphogen Signaling
Determines Cell Fate.” Developmental Cell. Cell Press, 2017. https://doi.org/10.1016/j.devcel.2017.09.014.
ieee: V. Barone et al., “An effective feedback loop between cell-cell contact
duration and morphogen signaling determines cell fate,” Developmental Cell,
vol. 43, no. 2. Cell Press, pp. 198–211, 2017.
ista: Barone V, Lang M, Krens G, Pradhan S, Shamipour S, Sako K, Sikora MK, Guet
CC, Heisenberg C-PJ. 2017. An effective feedback loop between cell-cell contact
duration and morphogen signaling determines cell fate. Developmental Cell. 43(2),
198–211.
mla: Barone, Vanessa, et al. “An Effective Feedback Loop between Cell-Cell Contact
Duration and Morphogen Signaling Determines Cell Fate.” Developmental Cell,
vol. 43, no. 2, Cell Press, 2017, pp. 198–211, doi:10.1016/j.devcel.2017.09.014.
short: V. Barone, M. Lang, G. Krens, S. Pradhan, S. Shamipour, K. Sako, M.K. Sikora,
C.C. Guet, C.-P.J. Heisenberg, Developmental Cell 43 (2017) 198–211.
date_created: 2018-12-11T11:48:13Z
date_published: 2017-10-23T00:00:00Z
date_updated: 2024-03-27T23:30:38Z
day: '23'
department:
- _id: CaHe
- _id: CaGu
- _id: GaTk
doi: 10.1016/j.devcel.2017.09.014
ec_funded: 1
external_id:
isi:
- '000413443700011'
intvolume: ' 43'
isi: 1
issue: '2'
language:
- iso: eng
month: '10'
oa_version: None
page: 198 - 211
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 252DD2A6-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I2058
name: 'Cell segregation in gastrulation: the role of cell fate specification'
publication: Developmental Cell
publication_identifier:
issn:
- '15345807'
publication_status: published
publisher: Cell Press
publist_id: '6934'
quality_controlled: '1'
related_material:
record:
- id: '961'
relation: dissertation_contains
status: public
- id: '8350'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: An effective feedback loop between cell-cell contact duration and morphogen
signaling determines cell fate
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 43
year: '2017'
...
---
_id: '1082'
abstract:
- lang: eng
text: In many applications, it is desirable to extract only the relevant aspects
of data. A principled way to do this is the information bottleneck (IB) method,
where one seeks a code that maximises information about a relevance variable,
Y, while constraining the information encoded about the original data, X. Unfortunately
however, the IB method is computationally demanding when data are high-dimensional
and/or non-gaussian. Here we propose an approximate variational scheme for maximising
a lower bound on the IB objective, analogous to variational EM. Using this method,
we derive an IB algorithm to recover features that are both relevant and sparse.
Finally, we demonstrate how kernelised versions of the algorithm can be used to
address a broad range of problems with non-linear relation between X and Y.
alternative_title:
- Advances in Neural Information Processing Systems
author:
- first_name: Matthew J
full_name: Chalk, Matthew J
id: 2BAAC544-F248-11E8-B48F-1D18A9856A87
last_name: Chalk
orcid: 0000-0001-7782-4436
- first_name: Olivier
full_name: Marre, Olivier
last_name: Marre
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: 'Chalk MJ, Marre O, Tkačik G. Relevant sparse codes with variational information
bottleneck. In: Vol 29. Neural Information Processing Systems; 2016:1965-1973.'
apa: 'Chalk, M. J., Marre, O., & Tkačik, G. (2016). Relevant sparse codes with
variational information bottleneck (Vol. 29, pp. 1965–1973). Presented at the
NIPS: Neural Information Processing Systems, Barcelona, Spain: Neural Information
Processing Systems.'
chicago: Chalk, Matthew J, Olivier Marre, and Gašper Tkačik. “Relevant Sparse Codes
with Variational Information Bottleneck,” 29:1965–73. Neural Information Processing
Systems, 2016.
ieee: 'M. J. Chalk, O. Marre, and G. Tkačik, “Relevant sparse codes with variational
information bottleneck,” presented at the NIPS: Neural Information Processing
Systems, Barcelona, Spain, 2016, vol. 29, pp. 1965–1973.'
ista: 'Chalk MJ, Marre O, Tkačik G. 2016. Relevant sparse codes with variational
information bottleneck. NIPS: Neural Information Processing Systems, Advances
in Neural Information Processing Systems, vol. 29, 1965–1973.'
mla: Chalk, Matthew J., et al. Relevant Sparse Codes with Variational Information
Bottleneck. Vol. 29, Neural Information Processing Systems, 2016, pp. 1965–73.
short: M.J. Chalk, O. Marre, G. Tkačik, in:, Neural Information Processing Systems,
2016, pp. 1965–1973.
conference:
end_date: 2016-12-10
location: Barcelona, Spain
name: 'NIPS: Neural Information Processing Systems'
start_date: 2016-12-05
date_created: 2018-12-11T11:50:03Z
date_published: 2016-12-01T00:00:00Z
date_updated: 2021-01-12T06:48:09Z
day: '01'
department:
- _id: GaTk
intvolume: ' 29'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1605.07332
month: '12'
oa: 1
oa_version: Preprint
page: 1965-1973
publication_status: published
publisher: Neural Information Processing Systems
publist_id: '6298'
quality_controlled: '1'
related_material:
link:
- relation: other
url: https://papers.nips.cc/paper/6101-relevant-sparse-codes-with-variational-information-bottleneck
scopus_import: 1
status: public
title: Relevant sparse codes with variational information bottleneck
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 29
year: '2016'
...
---
_id: '1105'
abstract:
- lang: eng
text: Jointly characterizing neural responses in terms of several external variables
promises novel insights into circuit function, but remains computationally prohibitive
in practice. Here we use gaussian process (GP) priors and exploit recent advances
in fast GP inference and learning based on Kronecker methods, to efficiently estimate
multidimensional nonlinear tuning functions. Our estimator require considerably
less data than traditional methods and further provides principled uncertainty
estimates. We apply these tools to hippocampal recordings during open field exploration
and use them to characterize the joint dependence of CA1 responses on the position
of the animal and several other variables, including the animal\'s speed, direction
of motion, and network oscillations.Our results provide an unprecedentedly detailed
quantification of the tuning of hippocampal neurons. The model\'s generality suggests
that our approach can be used to estimate neural response properties in other
brain regions.
acknowledgement: "We thank Jozsef Csicsvari for kindly sharing the CA1 data.\r\nThis
work was supported by the People Programme (Marie Curie Actions) of the European
Union’s Seventh Framework Programme(FP7/2007-2013) under REA grant agreement no.
291734."
alternative_title:
- Advances in Neural Information Processing Systems
author:
- first_name: Cristina
full_name: Savin, Cristina
id: 3933349E-F248-11E8-B48F-1D18A9856A87
last_name: Savin
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: 'Savin C, Tkačik G. Estimating nonlinear neural response functions using GP
priors and Kronecker methods. In: Vol 29. Neural Information Processing Systems;
2016:3610-3618.'
apa: 'Savin, C., & Tkačik, G. (2016). Estimating nonlinear neural response functions
using GP priors and Kronecker methods (Vol. 29, pp. 3610–3618). Presented at the
NIPS: Neural Information Processing Systems, Barcelona; Spain: Neural Information
Processing Systems.'
chicago: Savin, Cristina, and Gašper Tkačik. “Estimating Nonlinear Neural Response
Functions Using GP Priors and Kronecker Methods,” 29:3610–18. Neural Information
Processing Systems, 2016.
ieee: 'C. Savin and G. Tkačik, “Estimating nonlinear neural response functions using
GP priors and Kronecker methods,” presented at the NIPS: Neural Information Processing
Systems, Barcelona; Spain, 2016, vol. 29, pp. 3610–3618.'
ista: 'Savin C, Tkačik G. 2016. Estimating nonlinear neural response functions using
GP priors and Kronecker methods. NIPS: Neural Information Processing Systems,
Advances in Neural Information Processing Systems, vol. 29, 3610–3618.'
mla: Savin, Cristina, and Gašper Tkačik. Estimating Nonlinear Neural Response
Functions Using GP Priors and Kronecker Methods. Vol. 29, Neural Information
Processing Systems, 2016, pp. 3610–18.
short: C. Savin, G. Tkačik, in:, Neural Information Processing Systems, 2016, pp.
3610–3618.
conference:
end_date: 2016-12-10
location: Barcelona; Spain
name: 'NIPS: Neural Information Processing Systems'
start_date: 2016-12-05
date_created: 2018-12-11T11:50:10Z
date_published: 2016-12-01T00:00:00Z
date_updated: 2021-01-12T06:48:19Z
day: '01'
department:
- _id: GaTk
ec_funded: 1
intvolume: ' 29'
language:
- iso: eng
main_file_link:
- url: http://papers.nips.cc/paper/6153-estimating-nonlinear-neural-response-functions-using-gp-priors-and-kronecker-methods
month: '12'
oa_version: None
page: 3610-3618
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: Neural Information Processing Systems
publist_id: '6265'
quality_controlled: '1'
scopus_import: 1
status: public
title: Estimating nonlinear neural response functions using GP priors and Kronecker
methods
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 29
year: '2016'
...