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Learning synaptic clusters for non-linear dendritic processing
- Source :
- Spratling, Michael and Hayes, Gillian (2000) Learning synaptic clusters for non-linear dendritic processing. [Journal (Paginated)]
- Publication Year :
- 2000
- Publisher :
- Published
-
Abstract
- 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.
Details
- Database :
- CogPrints
- Journal :
- Spratling, Michael and Hayes, Gillian (2000) Learning synaptic clusters for non-linear dendritic processing. [Journal (Paginated)]
- Publication Type :
- Academic Journal
- Accession number :
- edscog.1109
- Document Type :
- Journal Article