Dendritic cortical microcircuits approximate the backpropagation algorithm
- Submitting institution
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University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 198506473
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- Advances in Neural Information Processing Systems : NeurIPS 2018
- First page
- 8721
- Volume
- -
- Issue
- -
- ISSN
- 1049-5258
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
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- Supplementary information
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- 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
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3
- Research group(s)
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A - Artificial Intelligence and Autonomy
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This model introduced in the paper is now a "popular model"(Whittington et al, 2019 https://pubmed.ncbi.nlm.nih.gov/30704969/) and "of high significance" (Poirazi and Papoutsi in NatureNeurosciReviews, 2020). Paper selected as one of only 30 talks from 4800 submissions in NeurIPS. Authors invited to join a global initiative in the field (Blake et al. Nature Neurosci. 2019), and establish a new collaboration (between UK and Canada) as well as multiple invited talks. Follow up funding includes a Swiss Ambizione grant in 2018 [http://www.snf.ch/SiteCollectionDocuments/ambizione_liste_beitragsempfangende_e.pdf], and ongoing work by two PhD students.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -