Power laws for spontaneous neuronal activity in hippocampal CA3 slice culture

  • Authors:

  • Toshikazu Samura;Yasuomi D. Sato;Yuji Ikegaya;Hatsuo Hayashi

  • Affiliations:

  • Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan;Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan;Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan;Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

  • Venue:
  • ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
  • Year:
  • 2011

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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.