A neuromorphic model of active vision shows how spatiotemporal encoding in lobula neurons can aid pattern recognition in bees

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MaBouDi, H. orcid.org/0000-0002-7612-6465, Roper, M., Guiraud, M.-G. orcid.org/0000-0001-5843-9188 et al. (3 more authors) (Submitted: 2025) A neuromorphic model of active vision shows how spatiotemporal encoding in lobula neurons can aid pattern recognition in bees. [Preprint - bioRxiv] (Submitted)

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Item Type: Preprint
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© 2025 The Author(s). This preprint is made available under a Creative Commons Attribution-NoDerivatives 4.0 International License. (http://creativecommons.org/licenses/by-nd/4.0/)
Keywords: active vision; image statistics; lobula; mushroom bodies; non-associative learning; orientation selective neurons; scanning behaviour; visual recognition
Dates:
  • Submitted: 10 March 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield)
Funding Information:
Funder
Grant number
BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL
BB/F012071/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/X019705/1
BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL
BB/X006247/1
Depositing User: Symplectic Sheffield
Date Deposited: 13 May 2025 16:04
Last Modified: 13 May 2025 16:04
Status: Submitted
Publisher: Cold Spring Harbor Laboratory
Identification Number: 10.1101/2023.06.04.543620
Open Archives Initiative ID (OAI ID):

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