"1109","Learning synaptic clusters for non-linear 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 unit which uses unsupervised learning to find clusters of inputs within which inactivity at one synapse can occlude the activity at the other synapses.","http://cogprints.org/1109/","Spratling, Michael and Hayes, Gillian","UNSPECIFIED","       <span class=\"person_name\">Spratling, Michael</span> and <span class=\"person_name\">Hayes, Gillian</span>     (2000)  <a href=\"http://cogprints.org/1109/\"><em>Learning synaptic clusters for non-linear dendritic processing.</em></a>       [Journal (Paginated)]           ","","2000"