Information Rate in Humans during Visuomotor Tracking
| dc.rights.license | open | en_US |
| hal.structure.identifier | Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA] | |
| dc.contributor.author | LAM, Sze Ying | |
| hal.structure.identifier | Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA] | |
| dc.contributor.author | ZENON, Alexandre | |
| dc.date.accessioned | 2022-10-07T09:40:39Z | |
| dc.date.available | 2022-10-07T09:40:39Z | |
| dc.date.issued | 2021-02-15 | |
| dc.identifier.issn | 1099-4300 | en_US |
| dc.identifier.uri | oai:crossref.org:10.3390/e23020228 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/148364 | |
| dc.description.abstractEn | Previous investigations concluded that the human brain’s information processing rate remains fundamentally constant, irrespective of task demands. However, their conclusion rested in analyses of simple discrete-choice tasks. The present contribution recasts the question of human information rate within the context of visuomotor tasks, which provides a more ecologically relevant arena, albeit a more complex one. We argue that, while predictable aspects of inputs can be encoded virtually free of charge, real-time information transfer should be identified with the processing of surprises. We formalise this intuition by deriving from first principles a decomposition of the total information shared by inputs and outputs into a feedforward, predictive component and a feedback, error-correcting component. We find that the information measured by the feedback component, a proxy for the brain’s information processing rate, scales with the difficulty of the task at hand, in agreement with cost-benefit models of cognitive effort. | |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.source | crossref | |
| dc.subject.en | Transfer entropy | |
| dc.subject.en | Information-processing rate | |
| dc.subject.en | Visuo-motor tracking | |
| dc.title.en | Information Rate in Humans during Visuomotor Tracking | |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.3390/e23020228 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC] | en_US |
| dc.identifier.arxiv | 2020.12.21.423762 | |
| dc.identifier.pubmed | 33672077 | en_US |
| bordeaux.journal | Entropy | en_US |
| bordeaux.volume | 23 | en_US |
| bordeaux.hal.laboratories | Institut de neurosciences cognitives et intégratives d'Aquitaine (INCIA) - UMR 5287 | en_US |
| bordeaux.issue | 2 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | CNRS | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.import.source | dissemin | |
| hal.identifier | hal-03088793 | |
| hal.version | 2 | |
| hal.export | false | |
| workflow.import.source | dissemin | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Entropy&rft.date=2021-02-15&rft.volume=23&rft.issue=2&rft.eissn=1099-4300&rft.issn=1099-4300&rft.au=LAM,%20Sze%20Ying&ZENON,%20Alexandre&rft.genre=article |
