Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanism

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  • dc.contributor.author Masquelier, Timothéeca
  • dc.contributor.author Deco, Gustavoca
  • dc.date.accessioned 2015-01-26T10:04:09Z
  • dc.date.available 2015-01-26T10:04:09Z
  • dc.date.issued 2013ca
  • dc.description.abstract In the brain, synchronization among cells of an assembly is a common phenomenon, and thought to be functionally /nrelevant. Here we used an in vitro experimental model of cell assemblies, cortical cultures, combined with numerical/nsimulations of a spiking neural network (SNN) to investigate how and why spontaneous synchronization occurs. In order to/ndeal with excitation only, we pharmacologically blocked GABAAergic transmission using bicuculline. Synchronous events in/ncortical cultures tend to involve almost every cell and to display relatively constant durations. We have thus named these/n‘‘network spikes’’ (NS). The inter-NS-intervals (INSIs) proved to be a more interesting phenomenon. In most cortical cultures/nNSs typically come in series or bursts (‘‘bursts of NSs’’, BNS), with short (,1 s) INSIs and separated by long silent intervals/n(tens of s), which leads to bimodal INSI distributions. This suggests that a facilitating mechanism is at work, presumably/nshort-term synaptic facilitation, as well as two fatigue mechanisms: one with a short timescale, presumably short-term/nsynaptic depression, and another one with a longer timescale, presumably cellular adaptation. We thus incorporated these/nthree mechanisms into the SNN, which, indeed, produced realistic BNSs. Next, we systematically varied the recurrent/nexcitation for various adaptation timescales. Strong excitability led to frequent, quasi-periodic BNSs (CV,0), and weak/nexcitability led to rare BNSs, approaching a Poisson process (CV,1). Experimental cultures appear to operate within an/nintermediate weakly-synchronized regime (CV,0.5), with an adaptation timescale in the 2–8 s range, and well described by/na Poisson-with-refractory-period model. Taken together, our results demonstrate that the INSI statistics are indeed/ninformative: they allowed us to infer the mechanisms at work, and many parameters that we cannot access experimentally.en
  • dc.description.sponsorship This work was funded by the European Union Seventh Framework Program (FP7/2007-2013) under grant agreements no. 269459 (Coronet). GD was/nalso supported by the ERC Advanced Grant: DYSTRUCTURE (n. 295129), by the Spanish Research Project SAF2010-16085, and by the CONSOLIDER-INGENIO 2010/nProgram CSD2007-00012.en
  • dc.format.extent 11 p.
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Masquelier T, Deco G. Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanism. PLoS ONE. 2013;8(10): e75824. DOI: 10.1371/journal.pone.0075824ca
  • dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0075824
  • dc.identifier.issn 1932-6203ca
  • dc.identifier.uri http://hdl.handle.net/10230/23069
  • dc.language.iso engca
  • dc.publisher Public Library of Science (PLoS)ca
  • dc.relation.ispartof PLoS ONE. 2013;8(10): e75824
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/295129ca
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269459
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012
  • dc.rights © 2013 Masquelier, Deco. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.title Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanismca
  • dc.type info:eu-repo/semantics/articleca
  • dc.type.version info:eu-repo/semantics/publishedVersionca

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