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  Cortical state transitions and stimulus response evolve along stiff and sloppy parameter dimensions, respectively

Ponce-Alvarez, A., Mochol, G., Hermoso-Mendizabal, A., de la Rocha, J., & Deco, G. (2020). Cortical state transitions and stimulus response evolve along stiff and sloppy parameter dimensions, respectively. eLife, 9: e53268. doi:10.7554/eLife.53268.

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 Creators:
Ponce-Alvarez, Adrian1, Author
Mochol, Gabriela1, Author
Hermoso-Mendizabal, Ainhoa2, Author
de la Rocha, Jaime2, Author
Deco, Gustavo1, 3, 4, 5, Author           
Affiliations:
1Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain, ou_persistent22              
3Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
4Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
5School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              

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Free keywords: Cortical states; Maximum entropy; Network topology; Neuroscience; Rat; Sloppiness; Spontaneous activity; Stimulus response
 Abstract: Previous research showed that spontaneous neuronal activity presents sloppiness: the collective behavior is strongly determined by a small number of parameter combinations, defined as ‘stiff’ dimensions, while it is insensitive to many others (‘sloppy’ dimensions). Here, we analyzed neural population activity from the auditory cortex of anesthetized rats while the brain spontaneously transited through different synchronized and desynchronized states and intermittently received sensory inputs. We showed that cortical state transitions were determined by changes in stiff parameters associated with the activity of a core of neurons with low responses to stimuli and high centrality within the observed network. In contrast, stimulus-evoked responses evolved along sloppy dimensions associated with the activity of neurons with low centrality and displaying large ongoing and stimulus-evoked fluctuations without affecting the integrity of the network. Our results shed light on the interplay among stability, flexibility, and responsiveness of neuronal collective dynamics during intrinsic and induced activity.

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Language(s): eng - English
 Dates: 2019-11-012020-03-162020-03-31
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.7554/eLife.53268
PMID: 32181740
PMC: PMC7108864
 Degree: -

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Project name : -
Grant ID : Flag-Era JTC PCI2018-092891
Funding program : -
Funding organization : European Commission (EC)
Project name : -
Grant ID : IJCI-2014-21937; BES-2011-049131; SAF2010-15730; SAF2013-46717-R; PSI2016-75688-P
Funding program : -
Funding organization : Ministerio de Economía y Competitividad
Project name : -
Grant ID : SAF2013-46717-R; SAF2010-15730
Funding program : -
Funding organization : European Regional Development Fund (ERDF)
Project name : -
Grant ID : 785907 HBP SGA1 & 2
Funding program : -
Funding organization : Horizon 2020 Framework Programme
Project name : -
Grant ID : 2017 SGR 1545
Funding program : -
Funding organization : Catalan Research Group Support

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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 9 Sequence Number: e53268 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X