Departmental Papers (BE)
Document Type
Conference Paper
Date of this Version
September 2005
Abstract
We characterize the first hardware implementation of a self-organizing map algorithm based on axon migration. A population of silicon growth cones automatically wires a topographic mapping by migrating toward sources of a diffusible guidance signal that is released by postsynaptic activity. We varied the diffusion radius of this signal, trading strength for range. Best performance is achieved by balancing signal strength against signal range.
COinS
Date Posted: 06 April 2006
Comments
Postprint version. Published in Lecture Notes in Computer Science, Volume 3697, Artificial Neural Networks: Formal Models and Their Applications-ICANN 2005, 2005, pages 1027-1034.
Publisher URL: http://dx.doi.org/10.1007/11550907