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"Sloppy engineering" and the olfactory system of insects
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.
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Publication status
- Published
ISSN
1860-949XPublisher
SpringerPublisher URL
Volume
188Page range
3-32Pages
30.0Book title
Biologically Inspired Signal Processing for Chemical SensingISBN
9783642001758Department affiliated with
- Informatics Publications
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- No
Peer reviewed?
- Yes
Editors
A Gutierrez, S MarcoLegacy Posted Date
2012-02-06Usage metrics
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