Self organising maps with a point neuron model

Article

Huyck, C. and Mitchell, I. 2013. Self organising maps with a point neuron model. Intl Conf. on Cognitive and Neural Systems.
TypeArticle
TitleSelf organising maps with a point neuron model
AuthorsHuyck, C. and Mitchell, I.
Abstract

This abstract describes simulations using a reasonably biological accurate point neuron model, a fatiguing leaky integrate and fire model. These model neurons use a novel compensatory Hebbian learning rule to categorise data items, a standard machine learning task. The resulting system is a kind of self organising map, which compares favourably with a Kohonen map on one machine learning task.

Research GroupArtificial Intelligence group
JournalIntl Conf. on Cognitive and Neural Systems
Publication dates
Print2013
Publication process dates
Deposited12 May 2015
Output statusPublished
LanguageEnglish
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