A Complex-Valued Hopfield Neural Network: Dynamics and Applications
نویسنده
چکیده
Drawing important ideas from several sources, the idea of associative memory from psychology (Kohonen, 1977), the idea of Hebbian adaptation from neurophysiology (Hebb, 1949), the idea of neuron as a thresholding device from prior modeling work (McCulloch & Pitts, 1943) etc., Hopfield presented an elegant model of associative memory storage and retrieval in the brain (Hopfield, 1982; Hopfield, 1984). Most importantly, an original contribution of the Hopfield model is the suggestion that memories correspond to attractors of neural network dynamics. This essential insight has helped to create a whole class of “neural memories.” Since memories, by their very nature, must have certain stability, and there must be mechanisms for storage and retrieval of the same, it is reasonable to think of memories as attractors of brain dynamics. There is also some experimental evidence towards that end. But where experimental data differs from Hopfield’s model memories ABSTrACT
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