LAM, Sze Ying; ZENON, Alexandre

doi:10.3390/e23020228

Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA]

ZENON, Alexandre

Institut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA]

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Article de revue

Ce document a été publié dans

Entropy. 2021-02-15, vol. 23, n° 2

Résumé en anglais

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.< Réduire

Mots clés en anglais

Transfer entropy

Information-processing rate

Visuo-motor tracking

URI

https://oskar-bordeaux.fr/handle/20.500.12278/148364

DOI

http://dx.doi.org/10.3390/e23020228

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Institut de neurosciences cognitives et intégratives d'Aquitaine (INCIA) - UMR 5287

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Information Rate in Humans during Visuomotor Tracking

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Résumé en anglais

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