A recurrent neural network with ever changing synapses
M Heerema; W A van Leeuwen; M Heerema; Institute for Theoretical Physics, University of Amsterdam, Valckenierstraat 65, 1018 XE Amsterdam, The Netherlands; W A van Leeuwen; Institute for Theoretical Physics, University of Amsterdam, Valckenierstraat 65, 1018 XE Amsterdam, The Netherlands
Журнал:
Journal of Physics A: Mathematical and General
Дата:
2000-03-10
Аннотация:
A recurrent neural network with noisy input is studied analytically, on the basis of a discrete time master equation. The latter is derived from a biologically realizable learning rule for the weights of the connections. In a numerical study it is found that the fixed points of the dynamics of the net are time dependent, implying that the representation in the brain of a fixed piece of information (e.g., a word to be recognized) is not fixed in time.
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