Analog VLSI design of an adaptive neuromorphic chip for olfactory systems

Thomas J. Koickal*, Alister Hamilton, Tim C. Pearce, Su L. Tan, James A. Covington, Julian W. Gardner

*Corresponding author for this work

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

Abstract

In this paper, we present the analog circuit design and implementation of an adaptive neuromorphic olfaction chip. An analog VLSI device with on-chip chemosensor array, on-chip sensor interface circuitry and on-chip learning neuromorphic olfactory model has been fabricated in a single chip using Austria Microsystems 0.6 mu m CMOS technology. Drawing inspiration from biological olfactory systems, the neuromorphic analog circuits used to process signals from the on-chip odour sensors make use A temporal "spiking" signals to act as carriers of odour information. An on-chip spike time dependent learning circuit is integrated to dynamically adapt weights for odour detection and classification. All the component subsystems implemented on chip have been successfully tested in silicon.

Original languageEnglish
Title of host publication2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4547-4550
Number of pages4
ISBN (Print)978-0-7803-9389-9
Publication statusPublished - 2006
EventIEEE International Symposium on Circuits and Systems - Kos, Greece
Duration: 21 May 200624 May 2006

Publication series

NameIEEE International Symposium on Circuits and Systems
PublisherIEEE
ISSN (Print)0271-4302

Conference

ConferenceIEEE International Symposium on Circuits and Systems
Country/TerritoryGreece
Period21/05/0624/05/06

Fingerprint

Dive into the research topics of 'Analog VLSI design of an adaptive neuromorphic chip for olfactory systems'. Together they form a unique fingerprint.

Cite this