Learning synaptic clusters for non-linear dendritic processing

Spratling, Michael and Hayes, Gillian (2000) Learning synaptic clusters for non-linear dendritic processing. [Journal (Paginated)]

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Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a model of an initially standard linear unit which uses unsupervised learning to find clusters of inputs within which inactivity at one synapse can occlude the activity at the other synapses.

Item Type:Journal (Paginated)
Subjects:Computer Science > Neural Nets
Neuroscience > Neural Modelling
ID Code:1109
Deposited By: Spratling, Dr Michael
Deposited On:15 Nov 2000
Last Modified:11 Mar 2011 08:54


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