Competitive learning in biological and artificial neural computation

Nathan Intrator, Shimon Edelman

Research output: Contribution to journalReview articlepeer-review

Abstract

In this review we will briefly discuss 'classical' competitive learning and approaches to competitive learning that involve mixtures of experts. We will then focus on competitive learning that is guided by the temporal structure that is present within the stimuli. In this context, we will describe a general principle for resource allocation and memory management, that may account for a range of psychophysical and neurophysiological findings.

Original languageEnglish
Pages (from-to)268-272
Number of pages5
JournalTrends in Cognitive Sciences
Volume1
Issue number7
DOIs
StatePublished - Oct 1997

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