A neural population mechanism for rapid learning
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4631
- Type
- D - Journal article
- DOI
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10.1016/j.neuron.2018.09.030
- Title of journal
- Neuron
- Article number
- -
- First page
- 964
- Volume
- 100
- Issue
- 4
- ISSN
- 0896-6273
- Open access status
- Deposit exception
- Month of publication
- October
- 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
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Neuroscientists had long assumed that learning is necessarily associated with changes in the synaptic connections among neurons. Here, we challenged this notion by showing that monkeys could instead learn to counteract a perturbation to their limb by leveraging existing neural activity patterns within a pre-existing “neural manifold.” This research was highlighted in a commentary in Neuron (Kaufman, 2018). Led to several invitations of the authors to present the results in leading neuroscience and engineering institutions, including University College London, University of Pittsburgh, École Polytechnique Fédérale de Lausanne.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -