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Advances in Artificial Neural Systems
Volume 2012 (2012), Article ID 713581, 16 pages
http://dx.doi.org/10.1155/2012/713581
Research Article

A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques

1Laboratory for Intelligent Systems and Control (LISC), Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
2Department of Biomedical Engineering and Department of Computer Science, Duke University Durham, NC 27708, USA
3Program in Neuroscience & Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore, Singapore

Received 17 February 2012; Accepted 21 May 2012

Academic Editor: Olivier Bastien

Copyright © 2012 X. Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

X. Zhang, G. Foderaro, C. Henriquez, A. M. J. VanDongen, and S. Ferrari, “A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques,” Advances in Artificial Neural Systems, vol. 2012, Article ID 713581, 16 pages, 2012. doi:10.1155/2012/713581