Silicon-based neuromorphic implementation of the olfactory pathway

TC Pearce, C Fulvi-Mari, JA Covington, FS Tan, JW Gardner, TJ Koickal, A Hamilton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Here we describe the component subsystems which comprise the first silicon-based olfactory system, each implemented in analog VLSI/MEMS. These include a biologically constrained neuronal model, chemical micro-sensor array and associated interface circuitry. We present a spiking olfactory bulb model, a reduced 70 element broadly-tuned chemosensor array (25 different chemsensor tunings), alongside details of their silicon implementation. Our results show that the olfactory bulb model is capable of pattern classification and that the odour delivery, uptake and sensor circuitry, as well as the fundamental units of the neuromorphic model (spike-driven synapse and spiking soma), are all functional Work will continue towards completing a fully-integrated and scalable silicon implementation of the olfactory system.

Original languageEnglish
Title of host publication2005 2ND INTERNATINOAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages307-312
Number of pages6
ISBN (Print)0-7803-8709-0
Publication statusPublished - 2005
Event2nd International IEEE/EMBS Conference on Neural Engineering - Arlington, Holy See (Vatican City)
Duration: 16 Mar 200520 Mar 2005

Publication series

NameInternational IEEE EMBS Conference on Neural Engineering
PublisherIEEE
ISSN (Print)1948-3546

Conference

Conference2nd International IEEE/EMBS Conference on Neural Engineering
Country/TerritoryHoly See (Vatican City)
Period16/03/0520/03/05

Keywords

  • neuromorphie aVLSI
  • chemosensor array
  • machine olfaction
  • olfactory bulb

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