ASSOCIATIVE DYNAMICS IN A CHAOTIC NEURAL-NETWORK

An associative network is constructed with chaotic neuron models inter connected through a conventional auto-associative matrix of synaptic w eights. The associative dynamics of the network is analysed with spati otemporal output patterns, quasi-energy function, distances between in ternal state vectors and orbital instability. The network shows a peri odic response after a nonperiodic transient phase when the external st imulations are spatially constant. The retrieval characteristics and t he duration in the transient phase are dependent on the initial condit ions. The results imply that the transient dynamics can be interpreted as a memory searching process. The network also shows periodic respon ses with short and very long periods when external stimulations are no t spatially constant, but corresponding to a stored pattern and an uns tored pattern, respectively. The responses to the external stimulation s can be utilized for a pattern recognition with nonlinear dynamics. C opyright (C) 1996 Elsevier Science Ltd.