Change search
ReferencesLink to record
Permanent link

Direct link
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
URN: urn:nbn:se:kth:diva-187474DOI: 10.1038/srep26029OAI: diva2:930447

QC 20160525

Available from: 2016-05-24 Created: 2016-05-24 Last updated: 2016-06-10Bibliographically approved

Open Access in DiVA

fulltext(2329 kB)19 downloads
File information
File name FULLTEXT01.pdfFile size 2329 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

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

Search in DiVA

By author/editor
Kumar, Arvind
By organisation
Computational Science and Technology (CST)
In the same journal
Scientific Reports

Search outside of DiVA

GoogleGoogle Scholar
Total: 19 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 48 hits
ReferencesLink to record
Permanent link

Direct link