Latham, PE;
(2017)
Correlations demystified.
Nature Neuroscience
, 20
(1)
pp. 6-8.
10.1038/nn.4455.
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Abstract
An elegant study answers a long-standing question: how do correlations arise in large, highly interconnected networks of neurons? The answer represents a major step forward in our understanding of spiking networks in the brain.
| Type: | Article |
|---|---|
| Title: | Correlations demystified |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/nn.4455 |
| Publisher version: | http://dx.doi.org/10.1038/nn.4455 |
| Language: | English |
| Additional information: | Copyright © 2017 Nature America, Inc., part of Springer Nature. All rights reserved. |
| Keywords: | Network models, Neural circuits |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1535029 |
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