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Reverse Engineering of Nature in the field of Chemical Sensors
The University of Manchester.
The University of Manchester.
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0001-6553-823X
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2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

A large scale chemical sensor array consisting of 16384 conducting polymer elements was developed emulating characteristics of the biological olfactory receptor system. A biologically realistic computational model of the olfactory cortex was developed and the data from the large array was used to test the performance of the system. Classification of odorants and segmentation of mixtures of were investigated and the results were compared to that from support vector machine algorithms.

Place, publisher, year, edition, pages
2012. 52-55 p.
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-104539DOI: 10.5162/IMCS2012/PT2ISBN: 978-3-9813484-2-2 (print)OAI: oai:DiVA.org:kth-104539DiVA: diva2:565001
Conference
14th International Meeting on Chemical Sensors - IMCS 2012
Funder
Swedish e‐Science Research Center
Note

QC 20130115

Available from: 2012-11-05 Created: 2012-11-05 Last updated: 2013-04-08Bibliographically approved

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Herman, Pawel

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