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Dynamic computation in a recurrent network of heterogeneous silicon neurons

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2 Author(s)
Merolla, P.A. ; Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA ; Boahen, K.

We describe a neuromorphic chip with a two-layer excitatory-inhibitory recurrent network of that exhibits localized clusters of neural activity. Unlike other recurrent networks, the clusters in our network are pinned to certain locations due to transistor mismatch introduced in fabrication. As described in previous work, our pinned clusters respond selectively to oriented stimuli and the neurons' preferred orientations are distributed similar to the visual cortex. Here we show that orientation computation is rapid when activity alternates between layers (staccato-like), dislodging pinned clusters, which promotes fast cluster diffusion

Published in:

Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on

Date of Conference:

21-24 May 2006

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