论文信息 - Associative dynamics in chaotic neural networks

Associative dynamics in chaotic neural networks

The authors apply a model of a chaotic neural network composed of neuron models with chaotic dynamics to associative memory, the stored patterns of which are mutually orthogonal, and analyze its dynamical behavior quantitatively. In order to clarify the chaotic dynamics, they calculate the Lyapunov spectrum, the temporal changes of the distance between the output pattern of the chaotic neural network and the stored patterns, and the local divergence rate. It is demonstrated that dynamical associative memory can be realized with the chaotic neural network.<<ETX>>

K. Aihara | Tohru Ikeguchi | K. Aihara | T. Ikeguchi

[1] L. Chua,et al. Chaos: A tutorial for engineers , 1987, Proceedings of the IEEE.

[2] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[3] K. Aihara,et al. Temporally coherent organization and instabilities in squid giant axons. , 1982, Journal of theoretical biology.

[4] K. Aihara,et al. Chaotic neural networks , 1990 .

[5] I. Shimada,et al. A Numerical Approach to Ergodic Problem of Dissipative Dynamical Systems , 1979 .

[6] K. Aihara,et al. Chaos and phase locking in normal squid axons , 1987 .

[7] J. Yorke,et al. Chaotic behavior of multidimensional difference equations , 1979 .

[8] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.

[9] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.