SCIS & ISIS
SCIS & ISIS 2008
Session ID : TH-F3-2
Conference information

A Neural Network Model of Cerebral Cortex that Combines Bayesian Network, SOM, ICA and Reinforcement Learning
*Yuuji Ichisugi
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Abstract
The author is trying to achieve a breakthrough in the elucidation of information processing of the cerebral cortex, in order to realize highly intelligent robots like human beings. At present, very promising result is obtained. The author designed a neural network model of the cerebral cortex, called BESOM model. BESOM elegantly combines four machine learning technologies, a self-organizing map, a Bayesian network, independent component analysis, and reinforcement learning. Surprisingly, the neural network that executes the algorithm of the model is in good agreement with six-layer and column structures that represent the anatomical characteristics of a cerebral cortex.
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© 2008 Japan Society for Fuzzy Theory and Intelligent Informatics
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