Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:A1L-D
Session:
Number:A1L-D2
Reconstructing scale-free structure of neural networks from multi spike sequences
Kaori KURODA, Tohru IKEGUCHI,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
Recent developments on measurement technologies make it possible to obtain multi spike sequences simultaneously. In this paper, to analyze the anatomical structure of the neural network, we reconstruct the neural network structures only from multi spike sequences. We used a spike time metric coefficient and a partial spike time metric coefficient which are based on a spike time metric and a partialization analysis. Using these measures, our method could reconstruct a scale-free structure in the neural network. We also show that scale-free degree distributions can be estimated.