The Redemption of Noise: Inference with Neural Populations.
| dc.contributor.author | Echeveste, Rodrigo | |
| dc.contributor.author | Lengyel, Máté | |
| dc.contributor.orcid | Echeveste, Rodrigo [0000-0002-6155-8679] | |
| dc.contributor.orcid | Lengyel, Mate [0000-0001-7266-0049] | |
| dc.date.accessioned | 2018-11-17T00:31:26Z | |
| dc.date.available | 2018-11-17T00:31:26Z | |
| dc.date.issued | 2018-11 | |
| dc.description.abstract | In 2006, Ma et al. (Nat. Neurosci. 1006;9:1432-1438) presented an elegant theory for how populations of neurons might represent uncertainty to perform Bayesian inference. Critically, according to this theory, neural variability is no longer a nuisance, but rather a vital part of how the brain encodes probability distributions and performs computations with them. | |
| dc.description.sponsorship | ERC Consolidator Grant (726090-COGTOM) | |
| dc.format.medium | ||
| dc.identifier.doi | 10.17863/CAM.27620 | |
| dc.identifier.eissn | 1878-108X | |
| dc.identifier.issn | 0166-2236 | |
| dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/285367 | |
| dc.language | eng | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier BV | |
| dc.publisher.url | http://dx.doi.org/10.1016/j.tins.2018.09.003 | |
| dc.subject | Bayesian inference | |
| dc.subject | cortex | |
| dc.subject | neural network | |
| dc.subject | neural variability | |
| dc.subject | perception | |
| dc.subject | uncertainty | |
| dc.subject | Animals | |
| dc.subject | Bayes Theorem | |
| dc.subject | Brain | |
| dc.subject | Humans | |
| dc.subject | Models, Neurological | |
| dc.subject | Nerve Net | |
| dc.subject | Neurons | |
| dc.subject | Probability | |
| dc.title | The Redemption of Noise: Inference with Neural Populations. | |
| dc.type | Article | |
| dcterms.dateAccepted | 2018-09-07 | |
| prism.endingPage | 770 | |
| prism.issueIdentifier | 11 | |
| prism.publicationDate | 2018 | |
| prism.publicationName | Trends Neurosci | |
| prism.startingPage | 767 | |
| prism.volume | 41 | |
| pubs.funder-project-id | Wellcome Trust (095621/Z/11/Z) | |
| rioxxterms.licenseref.startdate | 2018-11 | |
| rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
| rioxxterms.type | Journal Article/Review | |
| rioxxterms.version | AM | |
| rioxxterms.versionofrecord | 10.1016/j.tins.2018.09.003 |
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