Summary

International Symposium on Nonlinear Theory and its Applications

2009

Session Number:C2L-A

Session:

Number:C2L-A4

Spike propagation of a Pseudofractal scale-free neural model

Yoshin Ito,  Osamu Araki,  

pp.-

Publication Date:2009/10/18

Online ISSN:2188-5079

DOI:10.34385/proc.43.C2L-A4

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Summary:
All-to-all or randomly selected synaptic connections have been assumed for the network structure of most neural network models. However, it is thought that biological neural networks in the real brain are more heterogeneous such as ""small-world"" rather than homogeneous. This research aims to clarify the characteristics of spike propagation in a Pseudofractal scale-free neural network model with the scale-free and the small-world properties. The main feature of this model is that the number of synaptic connections from a neuron differs depending on the generation of the neuron. The results of computer simulations show that the difference of latency of spike propagation between the generations depends on which generation of neurons is driven by external stimuli. This reflects heterogeneous routes of spike propagation in the network. The result suggests the possibility that different information processing is activated by different driven neurons.