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Information Rate in Humans during Visuomotor Tracking

INCIA, University of Bordeaux, 33076 Bordeaux, France
Author to whom correspondence should be addressed.
Academic Editor: Deniz Gençağa
Entropy 2021, 23(2), 228;
Received: 8 January 2021 / Revised: 8 February 2021 / Accepted: 11 February 2021 / Published: 15 February 2021
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. View Full-Text
Keywords: transfer entropy; information-processing rate; visuo-motor tracking transfer entropy; information-processing rate; visuo-motor tracking
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MDPI and ACS Style

Lam, S.-Y.; Zénon, A. Information Rate in Humans during Visuomotor Tracking. Entropy 2021, 23, 228.

AMA Style

Lam S-Y, Zénon A. Information Rate in Humans during Visuomotor Tracking. Entropy. 2021; 23(2):228.

Chicago/Turabian Style

Lam, Sze-Ying, and Alexandre Zénon. 2021. "Information Rate in Humans during Visuomotor Tracking" Entropy 23, no. 2: 228.

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