---
_id: '15117'
abstract:
- lang: eng
text: 'The hippocampal mossy fiber synapse, formed between axons of dentate gyrus
granule cells and dendrites of CA3 pyramidal neurons, is a key synapse in the
trisynaptic circuitry of the hippocampus. Because of its comparatively large size,
this synapse is accessible to direct presynaptic recording, allowing a rigorous
investigation of the biophysical mechanisms of synaptic transmission and plasticity.
Furthermore, because of its placement in the very center of the hippocampal memory
circuit, this synapse seems to be critically involved in several higher network
functions, such as learning, memory, pattern separation, and pattern completion.
Recent work based on new technologies in both nanoanatomy and nanophysiology,
including presynaptic patch-clamp recording, paired recording, super-resolution
light microscopy, and freeze-fracture and “flash-and-freeze” electron microscopy,
has provided new insights into the structure, biophysics, and network function
of this intriguing synapse. This brings us one step closer to answering a fundamental
question in neuroscience: how basic synaptic properties shape higher network computations.'
acknowledgement: "We thank previous students, postdocs, and collaborators, particularly
J. Geiger, and (in alphabetical order) H. Alle, J. Bischofberger, C. Borges-Merjane,
D. Engel, M. Frotscher, S. Hallermann, M. Heckmann, S. Jamrichova, O. Kim, L. Li,
K. Lichter, P. Lin, J. Lübke, Y. Okamoto, C. Pawlu, C. Schmidt-Hieber, N. Spruston,
and N. Vyleta for their outstanding experimental contributions. We also thank P.
Castillo, J. Geiger, T. Sakaba, S. Siegert, T. Vogels, and J. Watson for critically
reading the manuscript, E. Kralli-Beller for text editing, and J. Malikovic and
L. Slomianka for useful discussions. We apologize that, due to space constraints,
not all relevant papers could be cited.\r\nThis project was supported by the European
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
program (grant agreement 692692, AdG “GIANTSYN”) and the Fonds zur Förderung der
Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein Award; P 36232-B, stand-alone
grant), both to P.J."
article_processing_charge: No
article_type: review
author:
- first_name: David H
full_name: Vandael, David H
id: 3AE48E0A-F248-11E8-B48F-1D18A9856A87
last_name: Vandael
orcid: 0000-0001-7577-1676
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: Vandael DH, Jonas PM. Structure, biophysics, and circuit function of a “giant”
cortical presynaptic terminal. Science. 2024;383(6687):eadg6757. doi:10.1126/science.adg6757
apa: Vandael, D. H., & Jonas, P. M. (2024). Structure, biophysics, and circuit
function of a “giant” cortical presynaptic terminal. Science. AAAS. https://doi.org/10.1126/science.adg6757
chicago: Vandael, David H, and Peter M Jonas. “Structure, Biophysics, and Circuit
Function of a ‘Giant’ Cortical Presynaptic Terminal.” Science. AAAS, 2024.
https://doi.org/10.1126/science.adg6757.
ieee: D. H. Vandael and P. M. Jonas, “Structure, biophysics, and circuit function
of a ‘giant’ cortical presynaptic terminal,” Science, vol. 383, no. 6687.
AAAS, p. eadg6757, 2024.
ista: Vandael DH, Jonas PM. 2024. Structure, biophysics, and circuit function of
a ‘giant’ cortical presynaptic terminal. Science. 383(6687), eadg6757.
mla: Vandael, David H., and Peter M. Jonas. “Structure, Biophysics, and Circuit
Function of a ‘Giant’ Cortical Presynaptic Terminal.” Science, vol. 383,
no. 6687, AAAS, 2024, p. eadg6757, doi:10.1126/science.adg6757.
short: D.H. Vandael, P.M. Jonas, Science 383 (2024) eadg6757.
date_created: 2024-03-17T23:00:57Z
date_published: 2024-03-08T00:00:00Z
date_updated: 2024-03-20T07:42:52Z
day: '08'
department:
- _id: PeJo
doi: 10.1126/science.adg6757
ec_funded: 1
external_id:
pmid:
- '38452088'
intvolume: ' 383'
issue: '6687'
language:
- iso: eng
month: '03'
oa_version: None
page: eadg6757
pmid: 1
project:
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
- _id: bd88be38-d553-11ed-ba76-81d5a70a6ef5
grant_number: P36232
name: Mechanisms of GABA release in hippocampal circuits
publication: Science
publication_identifier:
eissn:
- 1095-9203
publication_status: published
publisher: AAAS
quality_controlled: '1'
scopus_import: '1'
status: public
title: Structure, biophysics, and circuit function of a "giant" cortical presynaptic
terminal
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 383
year: '2024'
...
---
_id: '15094'
abstract:
- lang: eng
text: "Point sets, geometric networks, and arrangements of hyperplanes are fundamental
objects in\r\ndiscrete geometry that have captivated mathematicians for centuries,
if not millennia. This\r\nthesis seeks to cast new light on these structures by
illustrating specific instances where a\r\ntopological perspective, specifically
through discrete Morse theory and persistent homology,\r\nprovides valuable insights.\r\n\r\nAt
first glance, the topology of these geometric objects might seem uneventful: point
sets\r\nessentially lack of topology, arrangements of hyperplanes are a decomposition
of Rd, which\r\nis a contractible space, and the topology of a network primarily
involves the enumeration\r\nof connected components and cycles within the network.
However, beneath this apparent\r\nsimplicity, there lies an array of intriguing
structures, a small subset of which will be uncovered\r\nin this thesis.\r\n\r\nFocused
on three case studies, each addressing one of the mentioned objects, this work\r\nwill
showcase connections that intertwine topology with diverse fields such as combinatorial\r\ngeometry,
algorithms and data structures, and emerging applications like spatial biology.\r\n\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Sebastiano
full_name: Cultrera di Montesano, Sebastiano
id: 34D2A09C-F248-11E8-B48F-1D18A9856A87
last_name: Cultrera di Montesano
orcid: 0000-0001-6249-0832
citation:
ama: Cultrera di Montesano S. Persistence and Morse theory for discrete geometric
structures. 2024. doi:10.15479/at:ista:15094
apa: Cultrera di Montesano, S. (2024). Persistence and Morse theory for discrete
geometric structures. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15094
chicago: Cultrera di Montesano, Sebastiano. “Persistence and Morse Theory for Discrete
Geometric Structures.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:15094.
ieee: S. Cultrera di Montesano, “Persistence and Morse theory for discrete geometric
structures,” Institute of Science and Technology Austria, 2024.
ista: Cultrera di Montesano S. 2024. Persistence and Morse theory for discrete geometric
structures. Institute of Science and Technology Austria.
mla: Cultrera di Montesano, Sebastiano. Persistence and Morse Theory for Discrete
Geometric Structures. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:15094.
short: S. Cultrera di Montesano, Persistence and Morse Theory for Discrete Geometric
Structures, Institute of Science and Technology Austria, 2024.
date_created: 2024-03-08T15:28:10Z
date_published: 2024-03-08T00:00:00Z
date_updated: 2024-03-20T09:36:57Z
day: '08'
ddc:
- '514'
- '500'
- '516'
degree_awarded: PhD
department:
- _id: GradSch
- _id: HeEd
doi: 10.15479/at:ista:15094
ec_funded: 1
file:
- access_level: open_access
checksum: 1e468bfa42a7dcf04d89f4dadc621c87
content_type: application/pdf
creator: scultrer
date_created: 2024-03-14T08:55:07Z
date_updated: 2024-03-14T08:55:07Z
file_id: '15112'
file_name: Thesis Sebastiano.pdf
file_size: 4106872
relation: main_file
success: 1
- access_level: closed
checksum: bcbd213490f5a7e68855a092bbce93f1
content_type: application/zip
creator: scultrer
date_created: 2024-03-14T08:56:24Z
date_updated: 2024-03-14T14:14:35Z
file_id: '15113'
file_name: Thesis (1).zip
file_size: 4746234
relation: source_file
file_date_updated: 2024-03-14T14:14:35Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '03'
oa: 1
oa_version: Published Version
page: '108'
project:
- _id: 266A2E9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '788183'
name: Alpha Shape Theory Extended
- _id: 268116B8-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00342
name: The Wittgenstein Prize
- _id: 0aa4bc98-070f-11eb-9043-e6fff9c6a316
grant_number: I4887
name: Discretization in Geometry and Dynamics
- _id: 2561EBF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I02979-N35
name: Persistence and stability of geometric complexes
publication_identifier:
issn:
- 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '11660'
relation: part_of_dissertation
status: public
- id: '11658'
relation: part_of_dissertation
status: public
- id: '13182'
relation: part_of_dissertation
status: public
- id: '15090'
relation: part_of_dissertation
status: public
- id: '15091'
relation: part_of_dissertation
status: public
- id: '15093'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
title: Persistence and Morse theory for discrete geometric structures
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
_id: '15093'
abstract:
- lang: eng
text: We present a dynamic data structure for maintaining the persistent homology
of a time series of real numbers. The data structure supports local operations,
including the insertion and deletion of an item and the cutting and concatenating
of lists, each in time O(log n + k), in which n counts the critical items and
k the changes in the augmented persistence diagram. To achieve this, we design
a tailor-made tree structure with an unconventional representation, referred to
as banana tree, which may be useful in its own right.
acknowledgement: The first and second authors are funded by the European Research Council under the
European Union’s Horizon 2020 research and innovation programme, ERC grant no. 788183,“Alpha
Shape Theory Extended (Alpha)”, by the Wittgenstein Prize, FWF grant no. Z 342-N31,
and by the DFG Collaborative Research Center TRR 109, FWF grant no. I 02979-N35.The
third author received funding by the European Research Council under the European
Union’s Horizon 2020research and innovation programme, ERC grant no. 101019564, “The Design of Modern Fully Dynamic DataStructures
(MoDynStruct)”, and by the Austrian Science Fund through the Wittgenstein Prize
with FWF grant no. Z 422-N, and also by FWF grant no. I 5982-N, and by FWF grant
no. P 33775-N, with additional funding from the netidee SCIENCE Stiftung, 2020–2024. The
fourth author is funded by the Vienna Graduate School on Computational Optimization,
FWF project no. W1260-N35.
article_processing_charge: No
author:
- first_name: Sebastiano
full_name: Cultrera di Montesano, Sebastiano
id: 34D2A09C-F248-11E8-B48F-1D18A9856A87
last_name: Cultrera di Montesano
orcid: 0000-0001-6249-0832
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Monika H
full_name: Henzinger, Monika H
id: 540c9bbd-f2de-11ec-812d-d04a5be85630
last_name: Henzinger
orcid: 0000-0002-5008-6530
- first_name: Lara
full_name: Ost, Lara
last_name: Ost
citation:
ama: 'Cultrera di Montesano S, Edelsbrunner H, Henzinger MH, Ost L. Dynamically
maintaining the persistent homology of time series. In: Woodruff DP, ed. Proceedings
of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). Society
for Industrial and Applied Mathematics; 2024:243-295. doi:10.1137/1.9781611977912.11'
apa: 'Cultrera di Montesano, S., Edelsbrunner, H., Henzinger, M. H., & Ost,
L. (2024). Dynamically maintaining the persistent homology of time series. In
D. P. Woodruff (Ed.), Proceedings of the 2024 Annual ACM-SIAM Symposium on
Discrete Algorithms (SODA) (pp. 243–295). Alexandria, VA, USA: Society for
Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977912.11'
chicago: Cultrera di Montesano, Sebastiano, Herbert Edelsbrunner, Monika H Henzinger,
and Lara Ost. “Dynamically Maintaining the Persistent Homology of Time Series.”
In Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms
(SODA), edited by David P. Woodruff, 243–95. Society for Industrial and Applied
Mathematics, 2024. https://doi.org/10.1137/1.9781611977912.11.
ieee: S. Cultrera di Montesano, H. Edelsbrunner, M. H. Henzinger, and L. Ost, “Dynamically
maintaining the persistent homology of time series,” in Proceedings of the
2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Alexandria,
VA, USA, 2024, pp. 243–295.
ista: 'Cultrera di Montesano S, Edelsbrunner H, Henzinger MH, Ost L. 2024. Dynamically
maintaining the persistent homology of time series. Proceedings of the 2024 Annual
ACM-SIAM Symposium on Discrete Algorithms (SODA). SODA: Symposium on Discrete
Algorigthms, 243–295.'
mla: Cultrera di Montesano, Sebastiano, et al. “Dynamically Maintaining the Persistent
Homology of Time Series.” Proceedings of the 2024 Annual ACM-SIAM Symposium
on Discrete Algorithms (SODA), edited by David P. Woodruff, Society for Industrial
and Applied Mathematics, 2024, pp. 243–95, doi:10.1137/1.9781611977912.11.
short: S. Cultrera di Montesano, H. Edelsbrunner, M.H. Henzinger, L. Ost, in:, D.P.
Woodruff (Ed.), Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete
Algorithms (SODA), Society for Industrial and Applied Mathematics, 2024, pp. 243–295.
conference:
end_date: 2024-01-10
location: Alexandria, VA, USA
name: 'SODA: Symposium on Discrete Algorigthms'
start_date: 2024-01-07
date_created: 2024-03-08T10:27:39Z
date_published: 2024-01-04T00:00:00Z
date_updated: 2024-03-20T09:36:56Z
day: '04'
department:
- _id: HeEd
- _id: MoHe
doi: 10.1137/1.9781611977912.11
ec_funded: 1
editor:
- first_name: David P.
full_name: Woodruff, David P.
last_name: Woodruff
external_id:
arxiv:
- '2311.01115'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2311.01115
month: '01'
oa: 1
oa_version: Preprint
page: 243 - 295
project:
- _id: 266A2E9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '788183'
name: Alpha Shape Theory Extended
- _id: 268116B8-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00342
name: The Wittgenstein Prize
- _id: bd9ca328-d553-11ed-ba76-dc4f890cfe62
call_identifier: H2020
grant_number: '101019564'
name: The design and evaluation of modern fully dynamic data structures
- _id: 34def286-11ca-11ed-8bc3-da5948e1613c
grant_number: Z00422
name: Wittgenstein Award - Monika Henzinger
- _id: bd9e3a2e-d553-11ed-ba76-8aa684ce17fe
grant_number: 'P33775 '
name: Fast Algorithms for a Reactive Network Layer
publication: Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms
(SODA)
publication_identifier:
eisbn:
- '9781611977912'
publication_status: published
publisher: Society for Industrial and Applied Mathematics
quality_controlled: '1'
related_material:
record:
- id: '15094'
relation: dissertation_contains
status: public
status: public
title: Dynamically maintaining the persistent homology of time series
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
_id: '15091'
abstract:
- lang: eng
text: "Motivated by applications in the medical sciences, we study finite chromatic\r\nsets
in Euclidean space from a topological perspective. Based on the persistent\r\nhomology
for images, kernels and cokernels, we design provably stable\r\nhomological quantifiers
that describe the geometric micro- and macro-structure\r\nof how the color classes
mingle. These can be efficiently computed using\r\nchromatic variants of Delaunay
and alpha complexes, and code that does these\r\ncomputations is provided."
article_number: '2212.03128'
article_processing_charge: No
author:
- first_name: Sebastiano
full_name: Cultrera di Montesano, Sebastiano
id: 34D2A09C-F248-11E8-B48F-1D18A9856A87
last_name: Cultrera di Montesano
orcid: 0000-0001-6249-0832
- first_name: Ondrej
full_name: Draganov, Ondrej
id: 2B23F01E-F248-11E8-B48F-1D18A9856A87
last_name: Draganov
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Morteza
full_name: Saghafian, Morteza
id: f86f7148-b140-11ec-9577-95435b8df824
last_name: Saghafian
citation:
ama: Cultrera di Montesano S, Draganov O, Edelsbrunner H, Saghafian M. Chromatic
alpha complexes. arXiv.
apa: Cultrera di Montesano, S., Draganov, O., Edelsbrunner, H., & Saghafian,
M. (n.d.). Chromatic alpha complexes. arXiv.
chicago: Cultrera di Montesano, Sebastiano, Ondrej Draganov, Herbert Edelsbrunner,
and Morteza Saghafian. “Chromatic Alpha Complexes.” ArXiv, n.d.
ieee: S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, and M. Saghafian,
“Chromatic alpha complexes,” arXiv. .
ista: Cultrera di Montesano S, Draganov O, Edelsbrunner H, Saghafian M. Chromatic
alpha complexes. arXiv, 2212.03128.
mla: Cultrera di Montesano, Sebastiano, et al. “Chromatic Alpha Complexes.” ArXiv,
2212.03128.
short: S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, M. Saghafian, ArXiv
(n.d.).
date_created: 2024-03-08T10:13:59Z
date_published: 2024-02-07T00:00:00Z
date_updated: 2024-03-20T09:36:56Z
day: '07'
department:
- _id: HeEd
external_id:
arxiv:
- '2212.03128'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2212.03128
month: '02'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
related_material:
record:
- id: '15094'
relation: dissertation_contains
status: public
status: public
title: Chromatic alpha complexes
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: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
_id: '15171'
abstract:
- lang: eng
text: The brain’s functionality is developed and maintained through synaptic plasticity.
As synapses undergo plasticity, they also affect each other. The nature of such
‘co-dependency’ is difficult to disentangle experimentally, because multiple synapses
must be monitored simultaneously. To help understand the experimentally observed
phenomena, we introduce a framework that formalizes synaptic co-dependency between
different connection types. The resulting model explains how inhibition can gate
excitatory plasticity while neighboring excitatory–excitatory interactions determine
the strength of long-term potentiation. Furthermore, we show how the interplay
between excitatory and inhibitory synapses can account for the quick rise and
long-term stability of a variety of synaptic weight profiles, such as orientation
tuning and dendritic clustering of co-active synapses. In recurrent neuronal networks,
co-dependent plasticity produces rich and stable motor cortex-like dynamics with
high input sensitivity. Our results suggest an essential role for the neighborly
synaptic interaction during learning, connecting micro-level physiology with network-wide
phenomena.
acknowledgement: We thank C. Currin, B. Podlaski and the members of the Vogels group
for fruitful discussions. E.J.A. and T.P.V. were supported by a Research Project
Grant from the Leverhulme Trust (RPG-2016-446; TPV), a Sir Henry Dale Fellowship
from the Wellcome Trust and the Royal Society (WT100000; T.P.V.), a Wellcome Trust
Senior Research Fellowship (214316/Z/18/Z; T.P.V.) and a European Research Council
Consolidator Grant (SYNAPSEEK, 819603; T.P.V.). For the purpose of open access,
the authors have applied a CC BY public copyright license to any author accepted
manuscript version arising from this submission. Open access funding provided by
University of Basel.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Everton J.
full_name: Agnes, Everton J.
last_name: Agnes
- first_name: Tim P
full_name: Vogels, Tim P
id: CB6FF8D2-008F-11EA-8E08-2637E6697425
last_name: Vogels
orcid: 0000-0003-3295-6181
citation:
ama: Agnes EJ, Vogels TP. Co-dependent excitatory and inhibitory plasticity accounts
for quick, stable and long-lasting memories in biological networks. Nature
Neuroscience. 2024. doi:10.1038/s41593-024-01597-4
apa: Agnes, E. J., & Vogels, T. P. (2024). Co-dependent excitatory and inhibitory
plasticity accounts for quick, stable and long-lasting memories in biological
networks. Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-024-01597-4
chicago: Agnes, Everton J., and Tim P Vogels. “Co-Dependent Excitatory and Inhibitory
Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological
Networks.” Nature Neuroscience. Springer Nature, 2024. https://doi.org/10.1038/s41593-024-01597-4.
ieee: E. J. Agnes and T. P. Vogels, “Co-dependent excitatory and inhibitory plasticity
accounts for quick, stable and long-lasting memories in biological networks,”
Nature Neuroscience. Springer Nature, 2024.
ista: Agnes EJ, Vogels TP. 2024. Co-dependent excitatory and inhibitory plasticity
accounts for quick, stable and long-lasting memories in biological networks. Nature
Neuroscience.
mla: Agnes, Everton J., and Tim P. Vogels. “Co-Dependent Excitatory and Inhibitory
Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological
Networks.” Nature Neuroscience, Springer Nature, 2024, doi:10.1038/s41593-024-01597-4.
short: E.J. Agnes, T.P. Vogels, Nature Neuroscience (2024).
date_created: 2024-03-24T23:01:00Z
date_published: 2024-03-20T00:00:00Z
date_updated: 2024-03-25T07:04:05Z
day: '20'
department:
- _id: TiVo
doi: 10.1038/s41593-024-01597-4
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41593-024-01597-4
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: 0aacfa84-070f-11eb-9043-d7eb2c709234
call_identifier: H2020
grant_number: '819603'
name: Learning the shape of synaptic plasticity rules for neuronal architectures
and function through machine learning.
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: epub_ahead
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Co-dependent excitatory and inhibitory plasticity accounts for quick, stable
and long-lasting memories in biological networks
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...