ArticleJournal of neurophysiology2015
A common stochastic accumulator with effector-dependent noise can explain eye-hand coordination.
Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Restart errors reaction time of a two-step inhibition process account for the violation of the race model's independence in multi-effector selective stop signal task.Frontiers in human neuroscience · 2023Article
- Controlling an effector with eye movements: The effect of entangled sensory and motor responsibilities.PloS one · 2022Article
- Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements.Brain sciences · 2021Review
- Contrasting speed-accuracy tradeoffs for eye and hand movements reveal the optimal nature of saccade kinematics.Journal of neurophysiology · 2017Article
- Cortical control and performance monitoring of interrupting and redirecting movements.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Eye and head movements are complementary in visual selection.Royal Society open science · 2017Article
- Evidence of common and separate eye and hand accumulators underlying flexible eye-hand coordination.Journal of neurophysiology · 2017Article
- A common control signal and a ballistic stage can explain the control of coordinated eye-hand movements.Journal of neurophysiology · 2016Article
- Eye-hand coordination during a double-step task: evidence for a common stochastic accumulator.Journal of neurophysiology · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The computational architecture that enables the flexible coupling between otherwise independent eye and hand effector systems is not understood. By using a drift diffusion framework, in which variability of the reaction time (RT) distribution scales with mean RT, we tested the ability of a common stochastic accumulator to explain eye-hand coordination. Using a combination of behavior, computational modeling and electromyography, we show how a single stochastic accumulator to threshold, followed by noisy effector-dependent delays, explains eye-hand RT distributions and their correlation, while an alternate independent, interactive eye and hand accumulator model does not. Interestingly, the common accumulator model did not explain the RT distributions of the same subjects when they made eye and hand movements in isolation. Taken together, these data suggest that a dedicated circuit underlies coordinated eye-hand planning.
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Registered trials
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