Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex

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  • dc.contributor.author Benita, Jose Maríaca
  • dc.contributor.author Guillamon i Grabolosa, Antonica
  • dc.contributor.author Deco, Gustavoca
  • dc.contributor.author Sanchez-Vives, Maria V.ca
  • dc.date.accessioned 2016-02-10T18:59:25Z
  • dc.date.available 2016-02-10T18:59:25Z
  • dc.date.issued 2012
  • dc.description.abstract Short-term synaptic depression (STD) is a form of synaptic plasticity that has a large impact on network computations. Experimental results suggest that STD is modulated by cortical activity, decreasing with activity in the network and increasing during silent states. Here, we explored different activity-modulation protocols in a biophysical network model for which the model displayed less STD when the network was active than when it was silent, in agreement with experimental results. Furthermore, we studied how trains of synaptic potentials had lesser decay during periods of activity (UP states) than during silent periods (DOWN states), providing new experimental predictions. We next tackled the inverse question of what is the impact of modifying STD parameters on the emergent activity of the network, a question difficult to answer experimentally. We found that synaptic depression of cortical connections had a critical role to determine the regime of rhythmic cortical activity. While low STD resulted in an emergent rhythmic activity with short UP states and long DOWN states, increasing STD resulted in longer and more frequent UP states interleaved with short silent periods. A still higher synaptic depression set the network into a non-oscillatory firing regime where DOWN states no longer occurred. The speed of propagation of UP states along the network was not found to be modulated by STD during the oscillatory regime; it remained relatively stable over a range of values of STD. Overall, we found that the mutual interactions between synaptic depression and ongoing network activity are critical to determine the mechanisms that modulate cortical emergent patterns.ca
  • dc.description.sponsorship Jose M. Benita and Antoni Guillamon are supported by the MICINN/FEDER grant MTM2009-06973 (DACOBIAN) and the Generalitat de Catalunya CUR-DIUE grant number 2009SGR-859. GD is supported by the European Union, grant EC005-024 (“STREP Decisions in Motion”), by the Spanish Research Project BFU2007-61710, and CONSOLIDER CSD2007-00012. Maria V. Sanchez-Vives is supported by the MICINN (BFU2008-01371/BFI) and MINECO (BFU2011-27094).
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Benita JM, Guillamon A, Deco G, Sanchez-Vives MV. Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex. Front. Comput. Neurosci. 2012;64(6):1-17. DOI: 10.3389/fncom.2012.00064
  • dc.identifier.doi http://dx.doi.org/10.3389/fncom.2012.00064
  • dc.identifier.issn 1662-5188
  • dc.identifier.uri http://hdl.handle.net/10230/25778
  • dc.language.iso engca
  • dc.publisher Frontiers Mediaca
  • dc.relation.ispartof Frontiers in computational neuroscience 2012;64(6):1-17
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/MTM2009-06973
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/BFU2007-61710
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/BFU2008-01371/BFI
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/BFU2011-27094
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012
  • dc.rights © 2012 Benita, Guillamon, Deco and Sanchez-Vives. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.ca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri http://creativecommons.org/licenses/by/3.0/ca
  • dc.subject.keyword Cortical activity
  • dc.subject.keyword Network model
  • dc.subject.keyword Short-term depression
  • dc.subject.keyword Up/down state
  • dc.subject.keyword Synaptic plasticity
  • dc.title Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortexca
  • dc.type info:eu-repo/semantics/articleca
  • dc.type.version info:eu-repo/semantics/acceptedVersionca

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