The mechanism of correlated firing has been analyzed in various models. However, its function has not been discussed enough. We discuss dynamics of a neural network with correlated noise in order to analyze effect of the correlated noise. Because of the correlated noise, the correlation between neural inputs cannot be ignored, and then behavior of the network has sample dependence. In this report, we will show stochastic transition from a memory state to a mixture state by the correlated noise.

キーワード: correlated noise, stochastic transition, associative memory model, sample dependent

日本神経回路学会 第14回全国大会, 京都, pp.106-107, 2004