A Bayesian psychophysics model of sense of agency
Sense of agency (SoA) refers to the experience that one's own actions caused an external event. Here, the authors present a model of SoA in terms of optimal Bayesian cue integration taking into account reliability of action and outcome sensory signals and judging if the action caused the outcom...
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2019-09-01
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Online Access: | https://doi.org/10.1038/s41467-019-12170-0 |
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doaj-574cdf12c0834f99ab004264167df5c42021-05-11T11:51:12ZengNature Publishing GroupNature Communications2041-17232019-09-0110111110.1038/s41467-019-12170-0A Bayesian psychophysics model of sense of agencyRoberto Legaspi0Taro Toyoizumi1Laboratory for Neural Computation and Adaptation, RIKEN Center for Brain ScienceLaboratory for Neural Computation and Adaptation, RIKEN Center for Brain ScienceSense of agency (SoA) refers to the experience that one's own actions caused an external event. Here, the authors present a model of SoA in terms of optimal Bayesian cue integration taking into account reliability of action and outcome sensory signals and judging if the action caused the outcome.https://doi.org/10.1038/s41467-019-12170-0 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Roberto Legaspi Taro Toyoizumi |
spellingShingle |
Roberto Legaspi Taro Toyoizumi A Bayesian psychophysics model of sense of agency Nature Communications |
author_facet |
Roberto Legaspi Taro Toyoizumi |
author_sort |
Roberto Legaspi |
title |
A Bayesian psychophysics model of sense of agency |
title_short |
A Bayesian psychophysics model of sense of agency |
title_full |
A Bayesian psychophysics model of sense of agency |
title_fullStr |
A Bayesian psychophysics model of sense of agency |
title_full_unstemmed |
A Bayesian psychophysics model of sense of agency |
title_sort |
bayesian psychophysics model of sense of agency |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2019-09-01 |
description |
Sense of agency (SoA) refers to the experience that one's own actions caused an external event. Here, the authors present a model of SoA in terms of optimal Bayesian cue integration taking into account reliability of action and outcome sensory signals and judging if the action caused the outcome. |
url |
https://doi.org/10.1038/s41467-019-12170-0 |
work_keys_str_mv |
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