author_facet Fernandes, Hugo L.
Stevenson, Ian H.
Vilares, Iris
Kording, Konrad P.
Fernandes, Hugo L.
Stevenson, Ian H.
Vilares, Iris
Kording, Konrad P.
author Fernandes, Hugo L.
Stevenson, Ian H.
Vilares, Iris
Kording, Konrad P.
spellingShingle Fernandes, Hugo L.
Stevenson, Ian H.
Vilares, Iris
Kording, Konrad P.
The Journal of Neuroscience
The Generalization of Prior Uncertainty during Reaching
General Neuroscience
author_sort fernandes, hugo l.
spelling Fernandes, Hugo L. Stevenson, Ian H. Vilares, Iris Kording, Konrad P. 0270-6474 1529-2401 Society for Neuroscience General Neuroscience http://dx.doi.org/10.1523/jneurosci.3882-13.2014 <jats:p>Bayesian statistics defines how new information, given by a likelihood, should be combined with previously acquired information, given by a prior distribution. Many experiments have shown that humans make use of such priors in cognitive, perceptual, and motor tasks, but where do priors come from? As people never experience the same situation twice, they can only construct priors by generalizing from similar past experiences. Here we examine the generalization of priors over stochastic visuomotor perturbations in reaching experiments. In particular, we look into how the first two moments of the prior—the mean and variance (uncertainty)—generalize. We find that uncertainty appears to generalize differently from the mean of the prior, and an interesting asymmetry arises when the mean and the uncertainty are manipulated simultaneously.</jats:p> The Generalization of Prior Uncertainty during Reaching The Journal of Neuroscience
doi_str_mv 10.1523/jneurosci.3882-13.2014
facet_avail Online
Free
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTUyMy9qbmV1cm9zY2kuMzg4Mi0xMy4yMDE0
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTUyMy9qbmV1cm9zY2kuMzg4Mi0xMy4yMDE0
institution DE-Ch1
DE-L229
DE-D275
DE-Bn3
DE-Brt1
DE-Zwi2
DE-D161
DE-Zi4
DE-Gla1
DE-15
DE-Pl11
DE-Rs1
DE-14
DE-105
imprint Society for Neuroscience, 2014
imprint_str_mv Society for Neuroscience, 2014
issn 0270-6474
1529-2401
issn_str_mv 0270-6474
1529-2401
language English
mega_collection Society for Neuroscience (CrossRef)
match_str fernandes2014thegeneralizationofprioruncertaintyduringreaching
publishDateSort 2014
publisher Society for Neuroscience
recordtype ai
record_format ai
series The Journal of Neuroscience
source_id 49
title The Generalization of Prior Uncertainty during Reaching
title_unstemmed The Generalization of Prior Uncertainty during Reaching
title_full The Generalization of Prior Uncertainty during Reaching
title_fullStr The Generalization of Prior Uncertainty during Reaching
title_full_unstemmed The Generalization of Prior Uncertainty during Reaching
title_short The Generalization of Prior Uncertainty during Reaching
title_sort the generalization of prior uncertainty during reaching
topic General Neuroscience
url http://dx.doi.org/10.1523/jneurosci.3882-13.2014
publishDate 2014
physical 11470-11484
description <jats:p>Bayesian statistics defines how new information, given by a likelihood, should be combined with previously acquired information, given by a prior distribution. Many experiments have shown that humans make use of such priors in cognitive, perceptual, and motor tasks, but where do priors come from? As people never experience the same situation twice, they can only construct priors by generalizing from similar past experiences. Here we examine the generalization of priors over stochastic visuomotor perturbations in reaching experiments. In particular, we look into how the first two moments of the prior—the mean and variance (uncertainty)—generalize. We find that uncertainty appears to generalize differently from the mean of the prior, and an interesting asymmetry arises when the mean and the uncertainty are manipulated simultaneously.</jats:p>
container_issue 34
container_start_page 11470
container_title The Journal of Neuroscience
container_volume 34
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792345421240074246
geogr_code not assigned
last_indexed 2024-03-01T17:23:14.364Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=The+Generalization+of+Prior+Uncertainty+during+Reaching&rft.date=2014-08-20&genre=article&issn=1529-2401&volume=34&issue=34&spage=11470&epage=11484&pages=11470-11484&jtitle=The+Journal+of+Neuroscience&atitle=The+Generalization+of+Prior+Uncertainty+during+Reaching&aulast=Kording&aufirst=Konrad+P.&rft_id=info%3Adoi%2F10.1523%2Fjneurosci.3882-13.2014&rft.language%5B0%5D=eng
SOLR
_version_ 1792345421240074246
author Fernandes, Hugo L., Stevenson, Ian H., Vilares, Iris, Kording, Konrad P.
author_facet Fernandes, Hugo L., Stevenson, Ian H., Vilares, Iris, Kording, Konrad P., Fernandes, Hugo L., Stevenson, Ian H., Vilares, Iris, Kording, Konrad P.
author_sort fernandes, hugo l.
container_issue 34
container_start_page 11470
container_title The Journal of Neuroscience
container_volume 34
description <jats:p>Bayesian statistics defines how new information, given by a likelihood, should be combined with previously acquired information, given by a prior distribution. Many experiments have shown that humans make use of such priors in cognitive, perceptual, and motor tasks, but where do priors come from? As people never experience the same situation twice, they can only construct priors by generalizing from similar past experiences. Here we examine the generalization of priors over stochastic visuomotor perturbations in reaching experiments. In particular, we look into how the first two moments of the prior—the mean and variance (uncertainty)—generalize. We find that uncertainty appears to generalize differently from the mean of the prior, and an interesting asymmetry arises when the mean and the uncertainty are manipulated simultaneously.</jats:p>
doi_str_mv 10.1523/jneurosci.3882-13.2014
facet_avail Online, Free
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTUyMy9qbmV1cm9zY2kuMzg4Mi0xMy4yMDE0
imprint Society for Neuroscience, 2014
imprint_str_mv Society for Neuroscience, 2014
institution DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105
issn 0270-6474, 1529-2401
issn_str_mv 0270-6474, 1529-2401
language English
last_indexed 2024-03-01T17:23:14.364Z
match_str fernandes2014thegeneralizationofprioruncertaintyduringreaching
mega_collection Society for Neuroscience (CrossRef)
physical 11470-11484
publishDate 2014
publishDateSort 2014
publisher Society for Neuroscience
record_format ai
recordtype ai
series The Journal of Neuroscience
source_id 49
spelling Fernandes, Hugo L. Stevenson, Ian H. Vilares, Iris Kording, Konrad P. 0270-6474 1529-2401 Society for Neuroscience General Neuroscience http://dx.doi.org/10.1523/jneurosci.3882-13.2014 <jats:p>Bayesian statistics defines how new information, given by a likelihood, should be combined with previously acquired information, given by a prior distribution. Many experiments have shown that humans make use of such priors in cognitive, perceptual, and motor tasks, but where do priors come from? As people never experience the same situation twice, they can only construct priors by generalizing from similar past experiences. Here we examine the generalization of priors over stochastic visuomotor perturbations in reaching experiments. In particular, we look into how the first two moments of the prior—the mean and variance (uncertainty)—generalize. We find that uncertainty appears to generalize differently from the mean of the prior, and an interesting asymmetry arises when the mean and the uncertainty are manipulated simultaneously.</jats:p> The Generalization of Prior Uncertainty during Reaching The Journal of Neuroscience
spellingShingle Fernandes, Hugo L., Stevenson, Ian H., Vilares, Iris, Kording, Konrad P., The Journal of Neuroscience, The Generalization of Prior Uncertainty during Reaching, General Neuroscience
title The Generalization of Prior Uncertainty during Reaching
title_full The Generalization of Prior Uncertainty during Reaching
title_fullStr The Generalization of Prior Uncertainty during Reaching
title_full_unstemmed The Generalization of Prior Uncertainty during Reaching
title_short The Generalization of Prior Uncertainty during Reaching
title_sort the generalization of prior uncertainty during reaching
title_unstemmed The Generalization of Prior Uncertainty during Reaching
topic General Neuroscience
url http://dx.doi.org/10.1523/jneurosci.3882-13.2014