@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.} }