Graded information extraction by neural-network dynamics with multihysteretic neurons

Abstract

A major goal in the study of neural networks is to create novel information-processing algorithms inferred from the real brain. Recent neurophysiological evidence of graded persistent activity suggests that the brain possesses neural mechanisms for retrieval of graded information, which could be described by the neural-network dynamics with attractors that… (More)
DOI: 10.1016/j.neunet.2009.07.005

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