Learning Synaptic Clusters for Nonlinear Dendritic Processing
作者:Michael W. Spratling, Gillian M. Hayes
摘要
Nonlinear dendritic processing appears to be a feature of biological neuronsand would also be of use in many applications of artificial neuralnetworks. This paper presents a model of an initially standard linearnode which uses unsupervised learning to find clusters of inputs withinwhich inactivity at one synapse can occlude the activity at the othersynapses.
论文关键词:dendritic processing, higher-order neurons, invariance, unsupervised learning
论文评审过程:
论文官网地址:https://doi.org/10.1023/A:1009634821039