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2000

Learning Synaptic Clusters for Nonlinear Dendritic Processing

9 years 3 months ago
Learning Synaptic Clusters for Nonlinear Dendritic Processing
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 node which uses unsupervised learning to find clusters of inputs within which inactivity at one synapse can occlude the activity at the other synapses.
Michael W. Spratling, Gillian Hayes
Added 19 Dec 2010
Updated 19 Dec 2010
Type Journal
Year 2000
Where NPL
Authors Michael W. Spratling, Gillian Hayes
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