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.
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 |
Publication dates | |
2013 | |
Publication process dates | |
Deposited | 12 May 2015 |
Output status | Published |
Language | English |
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