Che Harun, Fauzan Khairi and Ab. Aziz, Muhammad Fazli and Covington, James A. and Gardner, Julian W. (2011) Towards an analogue neuromorphic VLSI instrument for the sensing of complex odours. In: Olfaction And Electronic Nose: Proceedings of the 14th International Symposium on Olfaction and Electronic Nose Date: 2-5 May 2011. American Institute of Physics, New York City, NY, (USA), pp. 223-224. ISBN 978-073540920-0
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1063/1.3626367
Abstract
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.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | digital circuits, VLSI, neural nets, sensors |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 30104 |
| Deposited By: | Fazli Masari |
| Deposited On: | 21 Apr 2013 03:25 |
| Last Modified: | 04 Feb 2017 07:27 |
Repository Staff Only: item control page
