Abstract concept learning in a simple neural network inspired by the insect brain.
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2460
- Type
- D - Journal article
- DOI
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10.1371/journal.pcbi.1006435
- Title of journal
- PLoS Computational Biology
- Article number
- e1006435
- First page
- -
- Volume
- 14
- Issue
- 9
- ISSN
- 1553-734X
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
C - Machine Learning
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work shows for the first time that a behaviour widely adopted as a demonstration of high cognitive abilities in the bee brain could emerge from simple principles. It inspired a successful EPSRC grant (EP/S030964/1) and cemented a long-standing collaboration with Australia (Macquarie University, contact: Deputy Head, Department of Biological Sciences). Follow up collaborative work with Macquarie in the Royal Society's flagship biological research journal (https://doi.org/10.1098/rspb.2020.2711) suggests that bees "understanding" numericity could be, in a similar spirit, a by-product of fundamental brain processes.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -