Olfactory learning without the mushroom bodies: spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied complexities

MaBouDi, H. orcid.org/0000-0002-7612-6465, Shimazaki, H., Giurfa, M. et al. (1 more author) (2017) Olfactory learning without the mushroom bodies: spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied complexities. PLoS Computational Biology, 13 (6). e1005551. ISSN 1553-734X

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Copyright, Publisher and Additional Information: © 2017 MaBouDi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Accepted: 4 May 2017
  • Published (online): 22 June 2017
  • Published: 22 June 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Mar 2022 17:51
Last Modified: 23 Mar 2022 17:52
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pcbi.1005551
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