Spike train auto-structure impacts post-synaptic firing and timing-based plasticity
DC Element | Wert | Sprache |
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dc.contributor.author | Scheller, Bertram | |
dc.contributor.author | Castellano, Marta | |
dc.contributor.author | Vicente, Raul | |
dc.contributor.author | Pipa, Gordon | |
dc.date.accessioned | 2021-12-23T16:16:06Z | - |
dc.date.available | 2021-12-23T16:16:06Z | - |
dc.date.issued | 2011 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/11717 | - |
dc.description.abstract | Cortical neurons are typically driven by several thousand synapses. The precise spatiotemporal pattern formed by these inputs can modulate the response of a post-synaptic cell. In this work, we explore how the temporal structure of pre-synaptic inhibitory and excitatory inputs impact the post-synaptic firing of a conductance-based integrate and fire neuron. Both the excitatory and inhibitory input was modeled by renewal gamma processes with varying shape factors for modeling regular and temporally random Poisson activity. We demonstrate that the temporal structure of mutually independent inputs affects the post-synaptic firing, while the strength of the effect depends on the firing rates of both the excitatory and inhibitory inputs. In a second step, we explore the effect of temporal structure of mutually independent inputs on a simple version of Hebbian learning, i.e., hard bound spike-timing-dependent plasticity. We explore both the equilibrium weight distribution and the speed of the transient weight dynamics for different mutually independent gamma processes. We find that both the equilibrium distribution of the synaptic weights and the speed of synaptic changes are modulated by the temporal structure of the input. Finally, we highlight that the sensitivity of both the post-synaptic firing as well as the spike-timing-dependent plasticity on the auto-structure of the input of a neuron could be used to modulate the learning rate of synaptic modification. | |
dc.description.sponsorship | EUEuropean Commission [FP7-ICT-2009-C]; We thank Carl van Vreeswijk for his support and very constructive discussions. We also thank Sonja Grun and Markus Diesman who helped in developing the initial ideas of this paper. And finally, we would like to thank Larry Abbott who inspired Gordon Pipa during his time at Brandeis University. This work was partially financed by the Phocus EU project (FP7-ICT-2009-C). | |
dc.language.iso | en | |
dc.publisher | FRONTIERS MEDIA SA | |
dc.relation.ispartof | FRONTIERS IN COMPUTATIONAL NEUROSCIENCE | |
dc.subject | auto-structure | |
dc.subject | CONNECTIVITY | |
dc.subject | DYNAMICS | |
dc.subject | IN-VIVO | |
dc.subject | integrate and fire | |
dc.subject | Mathematical & Computational Biology | |
dc.subject | MODEL | |
dc.subject | MODULATION | |
dc.subject | NETWORK ACTIVITY | |
dc.subject | NEURONAL-ACTIVITY | |
dc.subject | Neurosciences | |
dc.subject | Neurosciences & Neurology | |
dc.subject | non-Poissonian | |
dc.subject | spike train | |
dc.subject | STATISTICS | |
dc.subject | STDP | |
dc.subject | SYNCHRONY | |
dc.subject | temporal correlations | |
dc.title | Spike train auto-structure impacts post-synaptic firing and timing-based plasticity | |
dc.type | journal article | |
dc.identifier.doi | 10.3389/fncom.2011.00060 | |
dc.identifier.isi | ISI:000299570000001 | |
dc.description.volume | 5 | |
dc.contributor.orcid | 0000-0002-3416-2652 | |
dc.contributor.orcid | 0000-0002-2497-0007 | |
dc.contributor.researcherid | M-1813-2014 | |
dc.contributor.researcherid | E-1566-2011 | |
dc.identifier.eissn | 16625188 | |
dc.publisher.place | AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND | |
dcterms.isPartOf.abbreviation | Front. Comput. Neurosci. | |
dcterms.oaStatus | Green Published, gold | |
crisitem.author.dept | Institut für Kognitionswissenschaft | - |
crisitem.author.deptid | institute28 | - |
crisitem.author.orcid | 0000-0002-3416-2652 | - |
crisitem.author.parentorg | FB 08 - Humanwissenschaften | - |
crisitem.author.grandparentorg | Universität Osnabrück | - |
crisitem.author.netid | PiGo340 | - |
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geprüft am 08.05.2024