- 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 node which uses unsupervised learning to find clusters of inputs within which inactivity at one synapse can occlude the activity at the other synapses.
- Copyright:
- Michael Spratling and Gillian Hayes
- Links To Paper
- No links available
- Bibtex format
- @Misc{EDI-INF-RR-0255,
- author = {
Michael W. Spratling
and Gillian Hayes
},
- title = {Learning Synaptic Clusters for Nonlinear Dendritic Processing},
- year = 2000,
- month = {Feb},
- }
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