DYNAMIC LINK OF MEMORY - CHAOTIC MEMORY MAP IN NONEQUILIBRIUM NEURAL NETWORKS

We present a model for a dynamic link of memory in terms of a self-organized chaotic transition in nonequilibrium neural networks. The chaotic transition blocks pinning on parasitic(false) memory and allows a successive retrieval of true memory. We introduced a new neurodynamics, which allows neural networks to be temporarily unstable, keeping stability due to convergent dynamics. The results obtained in this paper suggest that the cortical chaos may serve for dynamically linking true memory as well as a memory search.