Self organising maps with a point neuron model

Huyck, Christian R. and Mitchell, Ian (2013) Self organising maps with a point neuron model. Intl Conf. on Cognitive and Neural Systems .

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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.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 15912
Depositing User: Ian Mitchell
Date Deposited: 12 May 2015 11:34
Last Modified: 13 Oct 2016 14:34
URI: http://eprints.mdx.ac.uk/id/eprint/15912

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