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@misc{cogprints1109,
volume = {11},
number = {1},
title = {Learning synaptic clusters for non-linear dendritic processing},
author = {Michael Spratling and Gillian Hayes},
year = {2000},
pages = {17--27},
journal = {Neural Processing Letters},
url = {http://cogprints.org/1109/},
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.}
}