Synchronized Firing Induced by Correlated Bidirectional Couplings in a Neural Network Model for Spontaneous Activity

• Kada Hisashi

  Department of Mechanical Engineering, Ritsumeikan University

• Teramae Jun-nosuke

  Graduate School of Information Science and Technology, Osaka University

• T. Tokuda Isao

  Department of Mechanical Engineering, Ritsumeikan University

抄録

In the absence of sensory stimuli, continuous neuronal firings are observed in cortical networks. Such self-sustained ongoing activity is referred to as "spontaneous activity," the dynamics of which is characterized by (1) low firing frequency, (2) irregularity, and (3) asynchronous firings among neurons. Despite numerous theoretical attempts, the mechanism that underlies the spontaneous firing activity has remained unclear. Recently, Teramae et al. proposed a neuronal network model with excitatory postsynaptic potentials (EPSPs) obeying a lognormal distribution, as observed in physiological experiments. The model successfully reproduced the key features of the spontaneous activity. Their model, however, focused mainly on the lognormal distribution of the network connectivity, where the correlation of EPSPs observed between bidirectionally coupled neurons was disregarded. The present paper introduces the correlated EPSPs to the lognormal network model and shows that a physiologically plausible level of such correlation causes (i) synchronous firings among neurons, (ii) extremely high firing frequencies observed in a group of neurons, and (iii) intermittent switching between asynchronous and synchronous firing states.

収録刊行物

• 信号処理

  信号処理 19 (4), 107-110, 2015

  信号処理学会

詳細情報

• CRID: 1390282679440117120
• NII論文ID: 130005090470
• DOI: 10.2299/jsp.19.107
• ISSN: 18801013
• ISSN: 13426230
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可