Random Neural Networks of Biologically Plausible Connectivity

		/vol02/JHPAPER/	© Copyright 1995
		Volume 02	Received: Accepted:	---- ----

Random Neural Networks of Biologically Plausible Connectivity James M. Hogan and Joachim Diederich
Abstract
	Recent physiological research suggests that learning of novel associations by adult humans may be mediated through synaptic plasticity and the recruitment of unused neurons into active cortical circuits. The feasibility of incremental learning within a feedforward network is examined under the constraint of biologically plausible connectivity. A randomly connected network (of physiologically plausible global connection probability) is considered under the assumption of a local connection probability which decays with distance between nodes. The representation of the function XOR is chosen as a test problem, and the likelihood of its recruitment is discussed with reference to the probability of occurrence of a subnetwork suitable for implementation of this function.

Full Text

Multimedia Links
(none)

Reference Links
(none)

Citation Reference

Get viewers
for PS & PDF

[CI Editor] [Site Manager]