Generalization of the resource-rationality principle to neural control of goal-directed movements

2020 ◽  
Vol 43 ◽  
Author(s):  
Natalia Dounskaia ◽  
Yury P. Shimansky

Abstract We review evidence that the resource-rationality principle generalizes to human movement control. Optimization of the use of limited neurocomputational resources is described by the inclusion of the “neurocomputational cost” of sensory information processing and decision making in the optimality criterion of movement control. A resulting tendency to decrease this cost can account for various phenomena observed during goal-directed movements.

2018 ◽  
Vol 41 ◽  
Author(s):  
Alan A. Stocker

AbstractOptimal or suboptimal, Rahnev & Denison (R&D) rightly argue that this ill-defined distinction is not useful when comparing models of perceptual decision making. However, what they miss is how valuable the focus on optimality has been in deriving these models in the first place. Rather than prematurely abandon the optimality assumption, we should refine this successful normative hypothesis with additional constraints that capture specific limitations of (sensory) information processing in the brain.


2019 ◽  
Vol 228 (11) ◽  
pp. 2381-2389 ◽  
Author(s):  
Nikita S. Frolov ◽  
Vladimir A. Maksimenko ◽  
Marina V. Khramova ◽  
Alexander N. Pisarchik ◽  
Alexander E. Hramov

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