Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Chapter 4

Spontaneous Activity Characterization in Spiking Neural Systems With Log-Normal Synaptic Weight Distribution

S. Nobukawa*; H. Nishimura^†; T. Maruo^†    * Department of Management Information Science, Fukui University of Technology, Fukui, Japan^† Graduate School of Applied Informatics, University of Hyogo, Hyogo, Japan

Abstract

A cortical network shows the noisy electrical activity of the brain, even in the absence of sensory stimulation. This is called spontaneous activity and indicates an irregular neuronal spiking with a low firing rate but high coherent spike transmission between specific neurons. Recently, Teramae et al. used a leaky integrate-and-fire (LIF) neuron model to propose that these features could be caused by synaptic ...