Nowotny, Thomas (2009) "Sloppy engineering" and the olfactory system of insects. In: Marco, S and Gutierrez, A (eds.) Biologically Inspired Signal Processing for Chemical Sensing. Springer, pp. 3-32. ISBN 9783642001758

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Abstract

Research on nervous systems has had an important influence on new information processing paradigms and has led to the invention of artificial neural networks in the past. In recent work we have analyzed the olfactory pathway of insects as a pattern classification device with unstructured (random) connectivity. In this chapter I will review these and related results and discuss the implications for applications in artificial olfaction. As we will see, successful classification depends on appropriate connectivity degrees and activation thresholds, as well as large enough numbers of neurons, because the strategy essentially rests on the law of large numbers. Taken as an inspiration for artificial olfaction, the analysis suggests a new paradigm of random kernel methods for odour and general pattern classification.

Item Type:	Book Section
Schools and Departments:	School of Engineering and Informatics > Informatics
Depositing User:	Thomas Nowotny
Date Deposited:	06 Feb 2012 18:29
Last Modified:	31 May 2012 10:04
URI:	http://sro.sussex.ac.uk/id/eprint/16735

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