Assessing predictive capability of neuronal network models by computing Lyapunov exponents

BMC Neuroscience

Poster Presentation

Marius Buibas¹  Bruno Maranhao¹  Gabriel Silva² 

[1] Department of Bioengineering, University of California, 92093, San Diego, La Jolla, CA, USA;Department of Bioengineering, University of California, 92093, San Diego, La Jolla, CA, USA;Department of Ophthalmology, University of California, 92037, San Diego, La Jolla, CA, USA;Neurosciences Graduate Program, University of California, 92093, San Diego, La Jolla, CA, USA;

关键词: Lyapunov Exponent;    Modeling Neural Network;    Parallel Processing;    Neuronal Network;    Close Point;   

DOI  :  10.1186/1471-2202-12-S1-P299

来源: Springer

【 授权许可】

Unknown   
© Maranhao et al; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.