Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements
Significant progress has been made in understanding the computational and neural mechanisms that mediate 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 a...
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MDPI AG
2021-05-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/11/5/607 |
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| author | Sumitash Jana Atul Gopal Aditya Murthy |
| author_facet | Sumitash Jana Atul Gopal Aditya Murthy |
| author_sort | Sumitash Jana |
| collection | DOAJ |
| description | Significant progress has been made in understanding the computational and neural mechanisms that mediate 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 the higher-order control processes assess the behavioral context and choose the most appropriate mode. This computational mechanism can explain the 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. |
| first_indexed | 2024-03-10T11:35:27Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-10T11:35:27Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-3d5a05861a2144178525f3560bec718b2023-11-21T18:55:30ZengMDPI AGBrain Sciences2076-34252021-05-0111560710.3390/brainsci11050607Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand MovementsSumitash Jana0Atul Gopal1Aditya Murthy2Department of Psychology, University of California San Diego, La Jolla, CA 92093, USALaboratory of Sensorimotor Research, National Eye Institute, Bethesda, MD 20814, USACentre for Neuroscience, Indian Institute of Science, Bangalore, Karnataka 560012, IndiaSignificant progress has been made in understanding the computational and neural mechanisms that mediate 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 the higher-order control processes assess the behavioral context and choose the most appropriate mode. This computational mechanism can explain the 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.https://www.mdpi.com/2076-3425/11/5/607accumulator modelrace modelflexible behaviorreaction time variability |
| spellingShingle | Sumitash Jana Atul Gopal Aditya Murthy Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements Brain Sciences accumulator model race model flexible behavior reaction time variability |
| title | Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements |
| title_full | Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements |
| title_fullStr | Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements |
| title_full_unstemmed | Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements |
| title_short | Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements |
| title_sort | computational mechanisms mediating inhibitory control of coordinated eye hand movements |
| topic | accumulator model race model flexible behavior reaction time variability |
| url | https://www.mdpi.com/2076-3425/11/5/607 |
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