Probabilistic optimization in the human perceptuo-motor system
Despite the variability of internal and external environments, the human central nervous system (CNS) can generate precise and stable perception and motor behaviors. What mechanism enables this ability? Answering this question is one of the significant goals in the human sciences, including neurosci...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Japanese Society of Physical Fitness and Sports Medicine
2013-09-01
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| Series: | Journal of Physical Fitness and Sports Medicine |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jpfsm/2/3/2_287/_pdf/-char/en |
| _version_ | 1818599220437843968 |
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| author | Shigeki Takeuchi Hirofumi Sekiguchi Kozue S Matsuzaki Makoto Miyazaki |
| author_facet | Shigeki Takeuchi Hirofumi Sekiguchi Kozue S Matsuzaki Makoto Miyazaki |
| author_sort | Shigeki Takeuchi |
| collection | DOAJ |
| description | Despite the variability of internal and external environments, the human central nervous system (CNS) can generate precise and stable perception and motor behaviors. What mechanism enables this ability? Answering this question is one of the significant goals in the human sciences, including neuroscience, cognitive science, physical education and sports science. The Bayesian integration theory proposes that the CNS learns the prior distribution of a task and integrates it with sensory information to minimize the effect of sensory noise. In this article, we introduce psychophysical reports using motor timing and temporal order judgment (TOJ) tasks that support the Bayesian integration theory. Subsequently, we demonstrate the event-related potentials (ERPs) behind Bayesian integration that operates in somatosensory TOJ. |
| first_indexed | 2024-12-16T12:16:08Z |
| format | Article |
| id | doaj.art-387cb02e115a46f4a120dd4aeb60bd1b |
| institution | Directory Open Access Journal |
| issn | 2186-8131 2186-8123 |
| language | English |
| last_indexed | 2024-12-16T12:16:08Z |
| publishDate | 2013-09-01 |
| publisher | Japanese Society of Physical Fitness and Sports Medicine |
| record_format | Article |
| series | Journal of Physical Fitness and Sports Medicine |
| spelling | doaj.art-387cb02e115a46f4a120dd4aeb60bd1b2022-12-21T22:32:06ZengJapanese Society of Physical Fitness and Sports MedicineJournal of Physical Fitness and Sports Medicine2186-81312186-81232013-09-012328729410.7600/jpfsm.2.287jpfsmProbabilistic optimization in the human perceptuo-motor systemShigeki Takeuchi0Hirofumi Sekiguchi1Kozue S Matsuzaki2Makoto Miyazaki3Sports Management Program, Faculty of Business and Information Sciences, Jobu UniversitySports Management Program, Faculty of Business and Information Sciences, Jobu UniversityResearch Institute of Kochi University of TechnologyResearch Institute of Kochi University of TechnologyDespite the variability of internal and external environments, the human central nervous system (CNS) can generate precise and stable perception and motor behaviors. What mechanism enables this ability? Answering this question is one of the significant goals in the human sciences, including neuroscience, cognitive science, physical education and sports science. The Bayesian integration theory proposes that the CNS learns the prior distribution of a task and integrates it with sensory information to minimize the effect of sensory noise. In this article, we introduce psychophysical reports using motor timing and temporal order judgment (TOJ) tasks that support the Bayesian integration theory. Subsequently, we demonstrate the event-related potentials (ERPs) behind Bayesian integration that operates in somatosensory TOJ.https://www.jstage.jst.go.jp/article/jpfsm/2/3/2_287/_pdf/-char/enbayesianperceptionmotor behaviortimingtemporal order judgmentelectroencephalogramevent-related potential |
| spellingShingle | Shigeki Takeuchi Hirofumi Sekiguchi Kozue S Matsuzaki Makoto Miyazaki Probabilistic optimization in the human perceptuo-motor system Journal of Physical Fitness and Sports Medicine bayesian perception motor behavior timing temporal order judgment electroencephalogram event-related potential |
| title | Probabilistic optimization in the human perceptuo-motor system |
| title_full | Probabilistic optimization in the human perceptuo-motor system |
| title_fullStr | Probabilistic optimization in the human perceptuo-motor system |
| title_full_unstemmed | Probabilistic optimization in the human perceptuo-motor system |
| title_short | Probabilistic optimization in the human perceptuo-motor system |
| title_sort | probabilistic optimization in the human perceptuo motor system |
| topic | bayesian perception motor behavior timing temporal order judgment electroencephalogram event-related potential |
| url | https://www.jstage.jst.go.jp/article/jpfsm/2/3/2_287/_pdf/-char/en |
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