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Self-organization of an oscillatory neural system
B E Willner1, C P Lu, W L Miranker
1IBM Research Division, T.J. Watson Research Center, Yorktown Heights, NY 10598, USA.
Journal of Mathematical Biology
|January 1, 1995
Abstract:
Hebbian dynamics is used to derive the differential equations for the synaptic strengths in the neural circuitry of the locomotive oscillator. Initially, neural connection are random. Under a specified arborization hypothesis relating to the density of neural connections, the differential equations are shown to model the self-organization and the stability of the oscillator.