Koickal, Thomas J., Hamilton, Alister, Pearce, Tim C., Tan, Su-Lim, Covington, James A., 1973- and Gardner, Julian W. (2006) Analog VLSI design of an adaptive neuromorphic chip for olfactory systems. In: IEEE International Symposium on Circuits and Systems, Kos Isl, GREECE, MAY 21-24, 2006. Published in: 2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS pp. 4547-4550.

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.

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