Analog VLSI Design of an Adaptive Neuromorphic Chip for Olfactory Systems

Thomas Jacob Koickal, Alister Hamilton, Tim Pearce, Su Lim Tan, James A. Covington, Julian W. Gardner

2006 · 21 citations · 9 references

Concepts

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 mum CMOS technology. Drawing inspiration from biological olfactory systems, the neuromorphic analog circuits used to process signals from the on-chip odour sensors make use of 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

References

9