Summary

2011 International Symposium on Nonlinear Theory and Its Applications

2011

Session Number:A2L-E

Session:

Number:A2L-E3

A theory of distributed code integration for cortical circuits

Taichi Kiwaki,  Tetsuya J. Kobayashi,  Kazuyuki Aihara,  

pp.152-155

Publication Date:2011/9/4

Online ISSN:2188-5079

DOI:10.34385/proc.45.A2L-E3

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Summary:
The brain is a parallel distributed system, where its information representations are thought to be dynamically formed by experience. The problem here is how those representations, or neural codes, are coherently integrated throughout the brain. In this article, we address this problem based on the hypothesis that Bayesian computation is taken place in the brain. We formulate biologically plausible forms of information representations, computation, and learning for the integration of neural codes over distant cortical areas. We then provide a simulation result to demonstrate the effectiveness of our theory.