Self organising maps with a point neuron model

Huyck, Christian R. ORCID: https://orcid.org/0000-0003-4015-3549 and Mitchell, Ian ORCID: https://orcid.org/0000-0002-3882-9127 (2013) Self organising maps with a point neuron model. Intl Conf. on Cognitive and Neural Systems . [Article]

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.

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