Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Computational Architecture Mediating Inhibitory Control of Coordinated Eye-Hand Movements

Version 1 : Received: 28 March 2021 / Approved: 30 March 2021 / Online: 30 March 2021 (10:50:47 CEST)

A peer-reviewed article of this Preprint also exists.

Jana, S.; Gopal, A.; Murthy, A. Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements. Brain Sci. 2021, 11, 607. Jana, S.; Gopal, A.; Murthy, A. Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements. Brain Sci. 2021, 11, 607.

Journal reference: Brain Sci. 2021, 11, 607
DOI: 10.3390/brainsci11050607

Abstract

Significant progress has been made in understanding the computational and neural architecture that mediates eye and hand movements made in isolation. However, less is known about the mechanisms that control these movements when they are coordinated. Here, we outline our computational approaches using accumulation-to-threshold and race-to-threshold models to elucidate the mechanisms that initiate and inhibit these movements. We suggest that, depending on the behavioral context, the initiation and inhibition of coordinated eye-hand movements can operate in two modes- coupled and decoupled. The coupled-mode operates when the task context requires a tight coupling between the effectors; a common command initiates both effectors, and a unitary inhibitory process is responsible for stopping them. Conversely, the decoupled mode operates when the task context demands weaker coupling between the effectors; separate commands initiate the eye and hand, and separate inhibitory processes are responsible for stopping them. We hypothesize that higher-order control processes assess the behavioral context and choose the most appropriate mode. This computational architecture can explain heterogeneous results observed across many studies that have investigated the control of coordinated eye-hand movements and may also serve as a general framework to understand the control of complex multi-effector movements.

Keywords

Eye-hand coordination; Race model; Flexible behavior; Reaction time variability

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