Output details
11 - Computer Science and Informatics
University of Edinburgh
Article title
A model of non-elemental olfactory learning in Drosophila
Type
D - Journal article
Title of journal
Journal of Computational Neuroscience
Article number
-
Volume number
32
Issue number
2
First page of article
197
ISSN of journal
0929-5313
Year of publication
2012
Number of additional authors
3
Additional information
<28> Originality: An advanced computational model of the olfactory circuit for learning in insects, using a novel learning rule; compared to behavioural data from our companion paper (Young et al, 2012, Neurobiology of Learning and Memory) on non-elemental learning in flies.
Significance: Led directly to invitation to contribute the only modelling chapter in the comprehensive review volume "Invertebrate Learning and Memory" (2013, editors Menzel and Benjamin), and a successful FET-Open proposal ‘MINIMAL’.
Rigour: Formalises a complete model of the neural circuitry at the single spiking neuron level, tested with realistic input in a range of complex learning paradigms.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
E - Institute of Perception, Action & Behaviour
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
