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Analog VLSI Circuit Implementation of an Adaptive Neuromorphic Olfaction Chip

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6 Author(s)
Koickal, T.J. ; Sch. of Eng. & Electron., Edinburgh Univ. ; Hamilton, Alister ; Su Lim Tan ; Covington, J.A.
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In this paper, we present the analog circuit design and implementation of the components of an adaptive neuromorphic olfaction chip. A chemical sensor array employing carbon black composite sensing materials with integrated signal processing circuitry forms the front end of the chip. The sensor signal processing circuitry includes a dc offset cancellation circuit to ameliorate loss of measurement range associated with chemical sensors. Drawing inspiration from biological olfactory systems, the analog circuits used to process signals from the on-chip odor sensors make use of temporal "spiking" signals to act as carriers of odor information. An on-chip spike time dependent learning circuit is integrated to dynamically adapt weights for odor detection and classification. All the component subsystems implemented on chip have been successfully tested in silicon

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Circuits and Systems I: Regular Papers, IEEE Transactions on  (Volume:54 ,  Issue: 1 )