Power laws for spontaneous neuronal activity in hippocampal CA3 slice culture

Toshikazu Samura, Yasuomi D. Sato, Yuji Ikegaya, Hatsuo Hayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study on computer simulations to infer a network structure of the hippocampal CA3 culture slice, which is not yet found even in physiological experiments. In order to find the network structure, we have to understand dynamical mechanisms of how to establish two power law distributions of spontaneous activities observed in the CA3 cultured slice. The first power law is the probabilistic distribution of firing frequency in a neuron. The second is of synchrony size that means a rate of co-active neurons within a time bin. In this work, we show that the power law observations significantly rely on the two network mechanisms: (1) high-frequency firing of interneurons by feedback from pyramidal cells, (2) log-normal distribution of synaptic weights.

Original languageEnglish
Title of host publicationNeural Information Processing - 18th International Conference, ICONIP 2011, Proceedings
Pages370-379
Number of pages10
EditionPART 1
DOIs
Publication statusPublished - 2011
Event18th International Conference on Neural Information Processing, ICONIP 2011 - Shanghai, China
Duration: 2011 Nov 132011 Nov 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7062 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Neural Information Processing, ICONIP 2011
CountryChina
CityShanghai
Period11/11/1311/11/17

Keywords

  • CA3
  • Hippocampus
  • Inhibitory interneurons
  • Log-normal distribution
  • Power-law distribution
  • Spontaneous activity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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