Learning synaptic clusters for non-linear dendritic processing

TY - JOUR

T1 - Learning synaptic clusters for non-linear dendritic processing

AU - Spratling, Michael W.

AU - Hayes, Gillian M.

PY - 2000/2

Y1 - 2000/2

N2 - 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 node which uses unsupervised learning to find clusters of inputs within which inactivity at one synapse can occlude the activity at the other synapses.

AB - 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 node which uses unsupervised learning to find clusters of inputs within which inactivity at one synapse can occlude the activity at the other synapses.

U2 - 10.1023/A:1009634821039

DO - 10.1023/A:1009634821039

M3 - Article

VL - 11

SP - 17

EP - 27

JO - NEURAL PROCESSING LETTERS

JF - NEURAL PROCESSING LETTERS

IS - 1

M1 - N/A

ER -