Summary
International Symposium on Nonlinear Theory and its Applications
2005
Session Number:3-1-2
Session:
Number:3-1-2-3
Information coding, processing and transport by means of phase-coupled neurons
Ruedi Stoop, Stefan Martignoli,
pp.541-544
Publication Date:2005/10/18
Online ISSN:2188-5079
Summary:
In biological neural networks, the noise component is often of a size comparable to the - under these conditions not so well defined - signal strength. This and the as yet unexplained computational efficacy of biological systems is of particular interest to technical applications, since miniaturization drives hardware chips naturally towards conditions where noise and precision need to be complementarily used, to encode and process information. Our theoretical explanation of how this can be achieved is based on weakly coupled neurodynamical limit-cycles. In order to account for physiological conditions, we investigate the properties of locking in nontrivial network structures and draw conclusions on the optimal organization of neural networks, if information processing is by means of phase locking. We find that the network structure has a decisive role on the laws of information transport in such systems.