An analogue VLSI model of periodicity extraction in the human auditory system

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

2 Citations (Scopus)

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 filter sections that filter the input sound. The system uses correlation between two spike trains created from different outputs of the silicon cochlea to obtain very selective filters, i.e., filters that respond only to a very narrow range of periodicities, but that at the same time still respond quickly. This is an advantage over traditional band-pass filters, where an increase in selectivity has to be traded off against a decrease in response time.

Original languageEnglish
Title of host publicationICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages107-112
Number of pages6
ISBN (Electronic)0780358716, 9780780358713
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event6th International Conference on Neural Information Processing, ICONIP 1999 - Perth, Australia
Duration: 16 Nov 199920 Nov 1999

Publication series

NameICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings
Volume1

Conference

Conference6th International Conference on Neural Information Processing, ICONIP 1999
Country/TerritoryAustralia
CityPerth
Period16/11/9920/11/99

Bibliographical note

Publisher Copyright:
© 1999 IEEE.

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