A massively parallel architecture for self-organizing feature maps
IEEE Transactions on Neural Networks
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We characterize the first hardware implementation of a selforganizing 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.