3 citations · 4 across the 4 of their papers we have counts for
4 papers
Coherent Response in a Chaotic Neural Network
Haruhiko Nishimura, Naofumi Katada, Kazuyuki Aihara
We set up a signal-driven scheme of the chaotic neural network with the coupling constants corresponding to certain information, and investigate the stochastic resonance-like effec…
A Neural Chaos Model of Multistable Perception
Natsuki Nagao, Haruhiko Nishimura, Nobuyuki Matsui
We present a perception model of ambiguous patterns based on the chaotic neural network and investigate the characteristics through computer simulations. The results induced by the…
Evolving Neural Networks with Iterative Learning Scheme for Associative Memory
Sh. Fujita, H. Nishimura
A locally iterative learning (LIL) rule is adapted to a model of the associative memory based on the evolving recurrent-type neural networks composed of growing neurons. There exis…
An Evolutionary Approach to Associative Memory in Recurrent Neural Networks
Sh. Fujita, H. Nishimura
In this paper, we investigate the associative memory in recurrent neural networks, based on the model of evolving neural networks proposed by Nolfi, Miglino and Parisi. Experimenta…