Towards an analogue neuromorphic VLSI instrument for the sensing of complex odours

Almost all electronic nose instruments reported today employ pattern recognition algorithms written in software and run on digital processors, e.g. micro-processors, microcontrollers or FPGAs. Conversely, in this paper we describe the analogue VLSI implementation of an electronic nose through the de...

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Bibliographic Details
Main Authors: Che Harun, Fauzan Khairi, Ab. Aziz, Muhammad Fazli, Covington, James A., Gardner, Julian W.
Format: Book Section
Published: American Institute of Physics 2011
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Online Access:http://eprints.utm.my/id/eprint/30104/
http://dx.doi.org/10.1063/1.3626367
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Summary:Almost all electronic nose instruments reported today employ pattern recognition algorithms written in software and run on digital processors, e.g. micro-processors, microcontrollers or FPGAs. Conversely, in this paper we describe the analogue VLSI implementation of an electronic nose through the design of a neuromorphic olfactory chip. The modelling, design and fabrication of the chip have already been reported. Here a smart interface has been designed and characterised for thisneuromorphic chip. Thus we can demonstrate the functionality of the a VLSI neuromorphic chip, producing differing principal neuron firing patterns to real sensor response data. Further work is directed towards integrating 9 separate neuromorphic chips to create a large neuronal network to solve more complex olfactory problems.