Learning from Mistakes

Dante R. Chialvo and Per Bak

Working Papers from Santa Fe Institute

Abstract: A simple model of self-organized learning with no classical (Hebbian) reinforcement is presented. Synaptic connections involved in mistakes are depressed. The model operates at a highly adaptive, probably critical, state reached by extremal dynamics similar to that of recent evolution models. Thus, one might think of the mechanism as synaptic Darwinism.

Date: 1997-08
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Persistent link: https://EconPapers.repec.org/RePEc:wop:safiwp:97-08-077

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