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Quantification of a Spike-Based Winner-Take-All VLSI Network

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4 Author(s)
Matthias Oster ; Inst. of Neuroinformatics, Univ. of Zurich, Zurich ; Yingxue Wang ; Rodney Douglas ; Shih-Chii Liu

We describe a formalism for quantifying the performance of spike-based winner-take-all (WTA) VLSI chips. The WTA function nonlinearly amplifies the output responses of pixels/neurons dependent on the input magnitudes in a decision or selection task. In this paper, we show a theoretical description of this WTA computation which takes into consideration the input statistics, neuron response variance, and output rates. This analysis is tested on a spiking VLSI neuronal network fabricated in a 4-metal, 2-poly 0.35-mum CMOS process. The measured results of the WTA performance from this chip correspond to the theoretical prediction. This formalism can be applied to any implementation of spike-based neurons.

Published in:

IEEE Transactions on Circuits and Systems I: Regular Papers  (Volume:55 ,  Issue: 10 )