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Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST). Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany.ORCID iD: 0000-0002-8044-9195
2016 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 6, 26029Article in journal (Refereed) Published
Abstract [en]

Spike patterns are among the most common electrophysiological descriptors of neuron types. Surprisingly, it is not clear how the diversity in firing patterns of the neurons in a network affects its activity dynamics. Here, we introduce the state-dependent stochastic bursting neuron model allowing for a change in its firing patterns independent of changes in its input-output firing rate relationship. Using this model, we show that the effect of single neuron spiking on the network dynamics is contingent on the network activity state. While spike bursting can both generate and disrupt oscillations, these patterns are ineffective in large regions of the network state space in changing the network activity qualitatively. Finally, we show that when single-neuron properties are made dependent on the population activity, a hysteresis like dynamics emerges. This novel phenomenon has important implications for determining the network response to time-varying inputs and for the network sensitivity at different operating points.

Place, publisher, year, edition, pages
2016. Vol. 6, 26029
Keyword [en]
Neuronal networks, neuron types, spike bursting, oscillations
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:kth:diva-187474DOI: 10.1038/srep26029Scopus ID: 2-s2.0-84971281632OAI: oai:DiVA.org:kth-187474DiVA: diva2:930447
Note

QC 20160525

Available from: 2016-05-24 Created: 2016-05-24 Last updated: 2017-11-30Bibliographically approved

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Publisher's full textScopusDynamical state of the network determines the efficacy of single neuron properties in shaping the network activity

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Kumar, Arvind

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  • apa
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