For the current REF see the REF 2021 website REF 2021 logo

Output details

15 - General Engineering

University of Leicester

Return to search Previous output Next output
Output 63 of 99 in the submission
Article title

Non-linear blend coding in the moth antennal lobe emerges from random glomerular networks.

Type
D - Journal article
Title of journal
Front Neuroeng
Article number
-
Volume number
5
Issue number
-
First page of article
6
ISSN of journal
1662-6443
Year of publication
2012
URL
-
Number of additional authors
6
Additional information

This invited contribution to a special issue on biological approaches to chemical sensing focuses on the question of where in the olfactory pathway complex nonlinear interactions occur between blend components. Here we use a computational model of the first stage of olfactory processing in insects, the antennal lobe, and compare to neuroscience data to demonstrate that these interactions can plausibly result from dynamical interactions at this stage of olfactory processing. As such it has important implications in the search for complex nonlinear blend encoding in the olfactory pathway and so is likely to be important in future experimental design.

Interdisciplinary
-
Cross-referral requested
-
Research group
A - Bioengineering
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-