@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.}
}