Bistable neuromodules

Lynch, S. and Bandar, Z. G. (2005) Bistable neuromodules. Nonlinear Analysis: Theory, Methods and Applications, 63 (5-7). e669-e677. ISSN 1873-5215

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Official URL: https://doi.org/10.1016/j.na.2004.09.042

Abstract

We study bistable neurons and neuromodules and show that the dynamics are dependent upon the history of the system. A feedback mechanism is incorporated to generate bifurcation diagrams. The results from a linear stability analysis can be shown to match with the iterative techniques. Synaptic weights, biases and gradients of transfer functions are varied. The work can be applied to artificial neural networks and developing brains.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	24 Mar 2010 14:08
Publisher:	Elsevier
Additional Information:	Full-text of this article is not available in this e-prints service. This article was originally published following peer-review in Nonlinear Analysis, published by and copyright Elsevier.
Divisions:	Faculties > Science and Engineering Research Centres > Centre for Advanced Computational Science
URI:	https://e-space.mmu.ac.uk/id/eprint/94861
DOI:	https://doi.org/10.1016/j.na.2004.09.042
ISSN	1873-5215

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