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Learning synaptic clusters for non-linear dendritic processing

Research output: Contribution to journalArticlepeer-review

Michael W. Spratling, Gillian M. Hayes

Original languageEnglish
Article numberN/A
Pages (from-to)17 - 27
Number of pages11
JournalNEURAL PROCESSING LETTERS
Volume11
Issue number1
DOIs
PublishedFeb 2000

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  • King's College London

Abstract

Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a model of an initially standard linear node which uses unsupervised learning to find clusters of inputs within which inactivity at one synapse can occlude the activity at the other synapses.

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