Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Ratiometric chemical blend processing with a neuromorphic model of the insect macroglomerular complex

Tools
- Tools
+ Tools

Karout, Salah, Rácz, Z., Capurro, Alberto, Cole, Marina, Gardner, J. W. and Pearce, Tim C. (2011) Ratiometric chemical blend processing with a neuromorphic model of the insect macroglomerular complex. In: 14th International Symposium on Olfaction and Electronic Nose (ISOEN 2011), New York City, U.S.A., May 2-5, 2011. Published in: Proceedings of the 14th International Symposium on Olfaction and Electronic Nose, Vol.1362 pp. 77-78. doi:10.1063/1.3626312 ISSN 0094-243X.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1063/1.3626312

Request Changes to record.

Abstract

We present a dynamical spiking neuromorphic model constrained by the known biology of the insect antennal lobe (AL) macroglomerular complex (MGC) implemented in a field programmable gate array (FPGA). When driven by polymer coated quartz‐crystal microbalance (QCM) chemosensors at its input, the dynamical trajectories of the model’s projection neuron (PN) output population activity encode the concentration ratios of binary odour mixtures. We demonstrate that it is possible to recover blend ratio information from the early transient phase of QCM responses that would otherwise be difficult to separate directly from chemosensor data using classical approaches. Our results demonstrate the potential of insect‐based neuromorphic signal processing methods for the rapid and efficient classification of ratiometrically encoded chemical blends.

Item Type: Conference Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Journal or Publication Title: Proceedings of the 14th International Symposium on Olfaction and Electronic Nose
Publisher: American Institute of Physics
ISSN: 0094-243X
Official Date: 2011
Dates:
DateEvent
2011Published
Volume: Vol.1362
Page Range: pp. 77-78
DOI: 10.1063/1.3626312
Status: Not Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 14th International Symposium on Olfaction and Electronic Nose (ISOEN 2011)
Type of Event: Other
Location of Event: New York City, U.S.A.
Date(s) of Event: May 2-5, 2011

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us