---
_id: '292'
abstract:
- lang: eng
text: 'Retina is a paradigmatic system for studying sensory encoding: the transformation
of light into spiking activity of ganglion cells. The inverse problem, where stimulus
is reconstructed from spikes, has received less attention, especially for complex
stimuli that should be reconstructed “pixel-by-pixel”. We recorded around a hundred
neurons from a dense patch in a rat retina and decoded movies of multiple small
randomly-moving discs. We constructed nonlinear (kernelized and neural network)
decoders that improved significantly over linear results. An important contribution
to this was the ability of nonlinear decoders to reliably separate between neural
responses driven by locally fluctuating light signals, and responses at locally
constant light driven by spontaneous-like activity. This improvement crucially
depended on the precise, non-Poisson temporal structure of individual spike trains,
which originated in the spike-history dependence of neural responses. We propose
a general principle by which downstream circuitry could discriminate between spontaneous
and stimulus-driven activity based solely on higher-order statistical structure
in the incoming spike trains.'
article_number: e1006057
article_processing_charge: Yes
article_type: original
author:
- first_name: Vicent
full_name: Botella Soler, Vicent
id: 421234E8-F248-11E8-B48F-1D18A9856A87
last_name: Botella Soler
orcid: 0000-0002-8790-1914
- first_name: Stephane
full_name: Deny, Stephane
last_name: Deny
- first_name: Georg S
full_name: Martius, Georg S
last_name: Martius
- 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: Botella Soler V, Deny S, Martius GS, Marre O, Tkačik G. Nonlinear decoding
of a complex movie from the mammalian retina. PLoS Computational Biology.
2018;14(5). doi:10.1371/journal.pcbi.1006057
apa: Botella Soler, V., Deny, S., Martius, G. S., Marre, O., & Tkačik, G. (2018).
Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1006057
chicago: Botella Soler, Vicente, Stephane Deny, Georg S Martius, Olivier Marre,
and Gašper Tkačik. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.”
PLoS Computational Biology. Public Library of Science, 2018. https://doi.org/10.1371/journal.pcbi.1006057.
ieee: V. Botella Soler, S. Deny, G. S. Martius, O. Marre, and G. Tkačik, “Nonlinear
decoding of a complex movie from the mammalian retina,” PLoS Computational
Biology, vol. 14, no. 5. Public Library of Science, 2018.
ista: Botella Soler V, Deny S, Martius GS, Marre O, Tkačik G. 2018. Nonlinear decoding
of a complex movie from the mammalian retina. PLoS Computational Biology. 14(5),
e1006057.
mla: Botella Soler, Vicente, et al. “Nonlinear Decoding of a Complex Movie from
the Mammalian Retina.” PLoS Computational Biology, vol. 14, no. 5, e1006057,
Public Library of Science, 2018, doi:10.1371/journal.pcbi.1006057.
short: V. Botella Soler, S. Deny, G.S. Martius, O. Marre, G. Tkačik, PLoS Computational
Biology 14 (2018).
date_created: 2018-12-11T11:45:39Z
date_published: 2018-05-10T00:00:00Z
date_updated: 2024-02-21T13:45:25Z
day: '10'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1006057
ec_funded: 1
external_id:
isi:
- '000434012100002'
file:
- access_level: open_access
checksum: 3026f94d235219e15514505fdbadf34e
content_type: application/pdf
creator: dernst
date_created: 2019-02-13T11:07:15Z
date_updated: 2020-07-14T12:45:53Z
file_id: '5974'
file_name: 2018_Plos_Botella_Soler.pdf
file_size: 3460786
relation: main_file
file_date_updated: 2020-07-14T12:45:53Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
issue: '5'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 25CBA828-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '720270'
name: Human Brain Project Specific Grant Agreement 1 (HBP SGA 1)
- _id: 254D1A94-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 25651-N26
name: Sensitivity to higher-order statistics in natural scenes
publication: PLoS Computational Biology
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/video-of-moving-discs-reconstructed-from-rat-retinal-neuron-signals/
record:
- id: '5584'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Nonlinear decoding of a complex movie from the mammalian retina
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: 14
year: '2018'
...
---
_id: '1697'
abstract:
- lang: eng
text: Motion tracking is a challenge the visual system has to solve by reading out
the retinal population. It is still unclear how the information from different
neurons can be combined together to estimate the position of an object. Here we
recorded a large population of ganglion cells in a dense patch of salamander and
guinea pig retinas while displaying a bar moving diffusively. We show that the
bar’s position can be reconstructed from retinal activity with a precision in
the hyperacuity regime using a linear decoder acting on 100+ cells. We then took
advantage of this unprecedented precision to explore the spatial structure of
the retina’s population code. The classical view would have suggested that the
firing rates of the cells form a moving hill of activity tracking the bar’s position.
Instead, we found that most ganglion cells in the salamander fired sparsely and
idiosyncratically, so that their neural image did not track the bar. Furthermore,
ganglion cell activity spanned an area much larger than predicted by their receptive
fields, with cells coding for motion far in their surround. As a result, population
redundancy was high, and we could find multiple, disjoint subsets of neurons that
encoded the trajectory with high precision. This organization allows for diverse
collections of ganglion cells to represent high-accuracy motion information in
a form easily read out by downstream neural circuits.
acknowledgement: 'This work was supported by grants EY 014196 and EY 017934 to MJB,
ANR OPTIMA, the French State program Investissements d’Avenir managed by the Agence
Nationale de la Recherche [LIFESENSES: ANR-10-LABX-65], and by a EC grant from the
Human Brain Project (CLAP) to OM, the Austrian Research Foundation FWF P25651 to
VBS and GT. VBS is partially supported by contracts MEC, Spain (Grant No. AYA2010-
22111-C03-02, Grant No. AYA2013-48623-C2-2 and FEDER Funds).'
article_number: e1004304
author:
- first_name: Olivier
full_name: Marre, Olivier
last_name: Marre
- first_name: Vicente
full_name: Botella Soler, Vicente
id: 421234E8-F248-11E8-B48F-1D18A9856A87
last_name: Botella Soler
orcid: 0000-0002-8790-1914
- first_name: Kristina
full_name: Simmons, Kristina
last_name: Simmons
- first_name: Thierry
full_name: Mora, Thierry
last_name: Mora
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Michael
full_name: Berry, Michael
last_name: Berry
citation:
ama: Marre O, Botella Soler V, Simmons K, Mora T, Tkačik G, Berry M. High accuracy
decoding of dynamical motion from a large retinal population. PLoS Computational
Biology. 2015;11(7). doi:10.1371/journal.pcbi.1004304
apa: Marre, O., Botella Soler, V., Simmons, K., Mora, T., Tkačik, G., & Berry,
M. (2015). High accuracy decoding of dynamical motion from a large retinal population.
PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1004304
chicago: Marre, Olivier, Vicente Botella Soler, Kristina Simmons, Thierry Mora,
Gašper Tkačik, and Michael Berry. “High Accuracy Decoding of Dynamical Motion
from a Large Retinal Population.” PLoS Computational Biology. Public Library
of Science, 2015. https://doi.org/10.1371/journal.pcbi.1004304.
ieee: O. Marre, V. Botella Soler, K. Simmons, T. Mora, G. Tkačik, and M. Berry,
“High accuracy decoding of dynamical motion from a large retinal population,”
PLoS Computational Biology, vol. 11, no. 7. Public Library of Science,
2015.
ista: Marre O, Botella Soler V, Simmons K, Mora T, Tkačik G, Berry M. 2015. High
accuracy decoding of dynamical motion from a large retinal population. PLoS Computational
Biology. 11(7), e1004304.
mla: Marre, Olivier, et al. “High Accuracy Decoding of Dynamical Motion from a Large
Retinal Population.” PLoS Computational Biology, vol. 11, no. 7, e1004304,
Public Library of Science, 2015, doi:10.1371/journal.pcbi.1004304.
short: O. Marre, V. Botella Soler, K. Simmons, T. Mora, G. Tkačik, M. Berry, PLoS
Computational Biology 11 (2015).
date_created: 2018-12-11T11:53:31Z
date_published: 2015-07-01T00:00:00Z
date_updated: 2021-01-12T06:52:35Z
day: '01'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1004304
file:
- access_level: open_access
checksum: 472b979f3f1cffb37b3e503f085115ca
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:25Z
date_updated: 2020-07-14T12:45:12Z
file_id: '5212'
file_name: IST-2016-455-v1+1_journal.pcbi.1004304.pdf
file_size: 4673930
relation: main_file
file_date_updated: 2020-07-14T12:45:12Z
has_accepted_license: '1'
intvolume: ' 11'
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 254D1A94-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 25651-N26
name: Sensitivity to higher-order statistics in natural scenes
publication: PLoS Computational Biology
publication_status: published
publisher: Public Library of Science
publist_id: '5447'
pubrep_id: '455'
quality_controlled: '1'
scopus_import: 1
status: public
title: High accuracy decoding of dynamical motion from a large retinal population
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: 11
year: '2015'
...
---
_id: '2183'
abstract:
- lang: eng
text: 'We describe a simple adaptive network of coupled chaotic maps. The network
reaches a stationary state (frozen topology) for all values of the coupling parameter,
although the dynamics of the maps at the nodes of the network can be nontrivial.
The structure of the network shows interesting hierarchical properties and in
certain parameter regions the dynamics is polysynchronous: Nodes can be divided
in differently synchronized classes but, contrary to cluster synchronization,
nodes in the same class need not be connected to each other. These complicated
synchrony patterns have been conjectured to play roles in systems biology and
circuits. The adaptive system we study describes ways whereby this behavior can
evolve from undifferentiated nodes.'
acknowledgement: "V.B.S. is partially supported by contract MEC (Grant No. AYA2010-22111-C03-02).\r\n"
article_number: '062809'
article_processing_charge: No
author:
- first_name: Vicente
full_name: Botella Soler, Vicente
id: 421234E8-F248-11E8-B48F-1D18A9856A87
last_name: Botella Soler
orcid: 0000-0002-8790-1914
- first_name: Paul
full_name: Glendinning, Paul
last_name: Glendinning
citation:
ama: Botella Soler V, Glendinning P. Hierarchy and polysynchrony in an adaptive
network . Physical Review E Statistical Nonlinear and Soft Matter Physics.
2014;89(6). doi:10.1103/PhysRevE.89.062809
apa: Botella Soler, V., & Glendinning, P. (2014). Hierarchy and polysynchrony
in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter
Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.89.062809
chicago: Botella Soler, Vicente, and Paul Glendinning. “Hierarchy and Polysynchrony
in an Adaptive Network .” Physical Review E Statistical Nonlinear and Soft
Matter Physics. American Institute of Physics, 2014. https://doi.org/10.1103/PhysRevE.89.062809.
ieee: V. Botella Soler and P. Glendinning, “Hierarchy and polysynchrony in an adaptive
network ,” Physical Review E Statistical Nonlinear and Soft Matter Physics,
vol. 89, no. 6. American Institute of Physics, 2014.
ista: Botella Soler V, Glendinning P. 2014. Hierarchy and polysynchrony in an adaptive
network . Physical Review E Statistical Nonlinear and Soft Matter Physics. 89(6),
062809.
mla: Botella Soler, Vicente, and Paul Glendinning. “Hierarchy and Polysynchrony
in an Adaptive Network .” Physical Review E Statistical Nonlinear and Soft
Matter Physics, vol. 89, no. 6, 062809, American Institute of Physics, 2014,
doi:10.1103/PhysRevE.89.062809.
short: V. Botella Soler, P. Glendinning, Physical Review E Statistical Nonlinear
and Soft Matter Physics 89 (2014).
date_created: 2018-12-11T11:56:11Z
date_published: 2014-06-16T00:00:00Z
date_updated: 2022-08-25T14:04:45Z
day: '16'
department:
- _id: GaTk
doi: 10.1103/PhysRevE.89.062809
ec_funded: 1
intvolume: ' 89'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1403.3209
month: '06'
oa: 1
oa_version: Preprint
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_status: published
publisher: American Institute of Physics
publist_id: '4798'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Hierarchy and polysynchrony in an adaptive network '
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 89
year: '2014'
...
---
_id: '2413'
abstract:
- lang: eng
text: 'Progress in understanding the global brain dynamics has remained slow to
date in large part because of the highly multiscale nature of brain activity.
Indeed, normal brain dynamics is characterized by complex interactions between
multiple levels: from the microscopic scale of single neurons to the mesoscopic
level of local groups of neurons, and finally to the macroscopic level of the
whole brain. Among the most difficult tasks are those of identifying which scales
are significant for a given particular function and describing how the scales
affect each other. It is important to realize that the scales of time and space
are linked together, or even intertwined, and that causal inference is far more
ambiguous between than within levels. We approach this problem from the perspective
of our recent work on simultaneous recording from micro- and macroelectrodes in
the human brain. We propose a physiological description of these multilevel interactions,
based on phase–amplitude coupling of neuronal oscillations that operate at multiple
frequencies and on different spatial scales. Specifically, the amplitude of the
oscillations on a particular spatial scale is modulated by phasic variations in
neuronal excitability induced by lower frequency oscillations that emerge on a
larger spatial scale. Following this general principle, it is possible to scale
up or scale down the multiscale brain dynamics. It is expected that large-scale
network oscillations in the low-frequency range, mediating downward effects, may
play an important role in attention and consciousness.'
alternative_title:
- Reviews of Nonlinear Dynamics and Complexity
author:
- first_name: Mario
full_name: Valderrama, Mario
last_name: Valderrama
- first_name: Vicente
full_name: Botella Soler, Vicente
id: 421234E8-F248-11E8-B48F-1D18A9856A87
last_name: Botella Soler
orcid: 0000-0002-8790-1914
- first_name: Michel
full_name: Le Van Quyen, Michel
last_name: Le Van Quyen
citation:
ama: 'Valderrama M, Botella Soler V, Le Van Quyen M. Neuronal oscillations scale
up and scale down the brain dynamics . In: Meyer M, Pesenson Z, eds. Multiscale
Analysis and Nonlinear Dynamics: From Genes to the Brain. Wiley-VCH; 2013.
doi:10.1002/9783527671632.ch08'
apa: 'Valderrama, M., Botella Soler, V., & Le Van Quyen, M. (2013). Neuronal
oscillations scale up and scale down the brain dynamics . In M. Meyer & Z.
Pesenson (Eds.), Multiscale Analysis and Nonlinear Dynamics: From Genes to
the Brain. Wiley-VCH. https://doi.org/10.1002/9783527671632.ch08'
chicago: 'Valderrama, Mario, Vicente Botella Soler, and Michel Le Van Quyen. “Neuronal
Oscillations Scale up and Scale down the Brain Dynamics .” In Multiscale Analysis
and Nonlinear Dynamics: From Genes to the Brain, edited by Misha Meyer and
Z. Pesenson. Wiley-VCH, 2013. https://doi.org/10.1002/9783527671632.ch08.'
ieee: 'M. Valderrama, V. Botella Soler, and M. Le Van Quyen, “Neuronal oscillations
scale up and scale down the brain dynamics ,” in Multiscale Analysis and Nonlinear
Dynamics: From Genes to the Brain, M. Meyer and Z. Pesenson, Eds. Wiley-VCH,
2013.'
ista: 'Valderrama M, Botella Soler V, Le Van Quyen M. 2013.Neuronal oscillations
scale up and scale down the brain dynamics . In: Multiscale Analysis and Nonlinear
Dynamics: From Genes to the Brain. Reviews of Nonlinear Dynamics and Complexity,
.'
mla: 'Valderrama, Mario, et al. “Neuronal Oscillations Scale up and Scale down the
Brain Dynamics .” Multiscale Analysis and Nonlinear Dynamics: From Genes to
the Brain, edited by Misha Meyer and Z. Pesenson, Wiley-VCH, 2013, doi:10.1002/9783527671632.ch08.'
short: 'M. Valderrama, V. Botella Soler, M. Le Van Quyen, in:, M. Meyer, Z. Pesenson
(Eds.), Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, Wiley-VCH,
2013.'
date_created: 2018-12-11T11:57:31Z
date_published: 2013-08-01T00:00:00Z
date_updated: 2021-01-12T06:57:20Z
day: '01'
department:
- _id: GaTk
doi: 10.1002/9783527671632.ch08
editor:
- first_name: Misha
full_name: Meyer, Misha
last_name: Meyer
- first_name: Z.
full_name: Pesenson, Z.
last_name: Pesenson
language:
- iso: eng
month: '08'
oa_version: None
publication: 'Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain'
publication_identifier:
eisbn:
- '9783527671632'
isbn:
- '9783527411986 '
publication_status: published
publisher: Wiley-VCH
publist_id: '4513'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Neuronal oscillations scale up and scale down the brain dynamics '
type: book_chapter
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2013'
...
---
_id: '2861'
abstract:
- lang: eng
text: We consider a two-parameter family of piecewise linear maps in which the moduli
of the two slopes take different values. We provide numerical evidence of the
existence of some parameter regions in which the Lyapunov exponent and the topological
entropy remain constant. Analytical proof of this phenomenon is also given for
certain cases. Surprisingly however, the systems with that property are not conjugate
as we prove by using kneading theory.
article_number: '125101'
author:
- first_name: Vicente
full_name: Botella Soler, Vicente
id: 421234E8-F248-11E8-B48F-1D18A9856A87
last_name: Botella Soler
orcid: 0000-0002-8790-1914
- first_name: José
full_name: Oteo, José
last_name: Oteo
- first_name: Javier
full_name: Ros, Javier
last_name: Ros
- first_name: Paul
full_name: Glendinning, Paul
last_name: Glendinning
citation:
ama: 'Botella Soler V, Oteo J, Ros J, Glendinning P. Lyapunov exponent and topological
entropy plateaus in piecewise linear maps. Journal of Physics A: Mathematical
and Theoretical. 2013;46(12). doi:10.1088/1751-8113/46/12/125101'
apa: 'Botella Soler, V., Oteo, J., Ros, J., & Glendinning, P. (2013). Lyapunov
exponent and topological entropy plateaus in piecewise linear maps. Journal
of Physics A: Mathematical and Theoretical. IOP Publishing Ltd. https://doi.org/10.1088/1751-8113/46/12/125101'
chicago: 'Botella Soler, Vicente, José Oteo, Javier Ros, and Paul Glendinning. “Lyapunov
Exponent and Topological Entropy Plateaus in Piecewise Linear Maps.” Journal
of Physics A: Mathematical and Theoretical. IOP Publishing Ltd., 2013. https://doi.org/10.1088/1751-8113/46/12/125101.'
ieee: 'V. Botella Soler, J. Oteo, J. Ros, and P. Glendinning, “Lyapunov exponent
and topological entropy plateaus in piecewise linear maps,” Journal of Physics
A: Mathematical and Theoretical, vol. 46, no. 12. IOP Publishing Ltd., 2013.'
ista: 'Botella Soler V, Oteo J, Ros J, Glendinning P. 2013. Lyapunov exponent and
topological entropy plateaus in piecewise linear maps. Journal of Physics A: Mathematical
and Theoretical. 46(12), 125101.'
mla: 'Botella Soler, Vicente, et al. “Lyapunov Exponent and Topological Entropy
Plateaus in Piecewise Linear Maps.” Journal of Physics A: Mathematical and
Theoretical, vol. 46, no. 12, 125101, IOP Publishing Ltd., 2013, doi:10.1088/1751-8113/46/12/125101.'
short: 'V. Botella Soler, J. Oteo, J. Ros, P. Glendinning, Journal of Physics A:
Mathematical and Theoretical 46 (2013).'
date_created: 2018-12-11T11:59:59Z
date_published: 2013-03-29T00:00:00Z
date_updated: 2021-01-12T07:00:19Z
day: '29'
department:
- _id: GaTk
doi: 10.1088/1751-8113/46/12/125101
intvolume: ' 46'
issue: '12'
language:
- iso: eng
month: '03'
oa_version: None
publication: 'Journal of Physics A: Mathematical and Theoretical'
publication_status: published
publisher: IOP Publishing Ltd.
publist_id: '3928'
quality_controlled: '1'
scopus_import: 1
status: public
title: Lyapunov exponent and topological entropy plateaus in piecewise linear maps
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 46
year: '2013'
...