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An Analog VLSI Model of Periodicity Extraction

 André van Schaik
  
 

Abstract:
This paper presents an electronic system that extracts the periodicity of a sound. It uses three analogue VLSI building blocks: a silicon cochlea, two inner-hair-cell circuits and two spiking neuron chips. The silicon cochlea consists of a cascade of filters. Because of the delay between two outputs from the silicon cochlea, spike trains created at these outputs are synchronous only for a narrow range of periodicities. In contrast to traditional band-pass filters, where an increase in selectivity has to be traded off against decrease in response time, the proposed system responds quickly, independent of selectivity.

 
 


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