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.

Publication dates
Type	Article
Title	Self organising maps with a point neuron model
Authors	Huyck, 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 Group	Artificial Intelligence group
Journal	Intl Conf. on Cognitive and Neural Systems
Print	2013
Publication process dates
Deposited	12 May 2015
Output status	Published
Language	English

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