Beyond Hebb: Exclusive-OR and Biological Learning
adap-org
2015-06-30 v2 Disordered Systems and Neural Networks
Statistical Mechanics
Adaptation and Self-Organizing Systems
Biological Physics
Neurons and Cognition
Abstract
A learning algorithm for multilayer neural networks based on biologically plausible mechanisms is studied. Motivated by findings in experimental neurobiology, we consider synaptic averaging in the induction of plasticity changes, which happen on a slower time scale than firing dynamics. This mechanism is shown to enable learning of the exclusive-OR (XOR) problem without the aid of error back-propagation, as well as to increase robustness of learning in the presence of noise.
Cite
@article{arxiv.adap-org/9909005,
title = {Beyond Hebb: Exclusive-OR and Biological Learning},
author = {Konstantin Klemm and Stefan Bornholdt and Heinz Georg Schuster},
journal= {arXiv preprint arXiv:adap-org/9909005},
year = {2015}
}
Comments
4 pages RevTeX, 2 figures PostScript, revised version