Departmental Papers (BE)

Document Type

Conference Paper

Date of this Version

September 2005

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

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.

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Date Posted: 06 April 2006