A Computational Framework for Understanding Eye–Hand Coordination

Jana, Sumitash; Gopal, Atul; Murthy, Aditya

doi:10.1007/s41745-017-0054-0

Cited by 11 publications

(8 citation statements)

References 68 publications

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“…They proved that neural fields competing in visual perception versus dexterous command may converge into a single command mode, which will induce extremely short reaction times, which are shorter than commonly achieved. Their finding is clearly task dependent [4,5,6,7] and sustained by Weiler et al [8]. We exploit by proof of principle in Section 2 and Section 4 (via a mathematical FitzHugh-Nagumo model of the sensorimotor system, for short FHN) that a reduction of RTs is stable in a new states of mind outside their previously obtained RT, which was a comfort behavioral zone of athletes.…”

Section: Introductionmentioning

confidence: 61%

Reaction Time Improvements by Neural Bistability

Koppelaar

Kordestani-Moghadam

Khan

et al. 2019

Behavioral Sciences

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The often reported reduction of Reaction Time (RT) by Vision Training) is successfully replicated by 81 athletes across sports. This enabled us to achieve a mean reduction of RTs for athletes eye-hand coordination of more than 10%, with high statistical significance. We explain how such an observed effect of Sensorimotor systems’ plasticity causing reduced RT can last in practice for multiple days and even weeks in subjects, via a proof of principle. Its mathematical neural model can be forced outside a previous stable (but long) RT into a state leading to reduced eye-hand coordination RT, which is, again, in a stable neural state.

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Section: Introductionmentioning

confidence: 61%

Reaction Time Improvements by Neural Bistability

Koppelaar

Kordestani-Moghadam

Khan

et al. 2019

Behavioral Sciences

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“…Only one system is to be trained, which is advantageous for old brains with some loss of connectivity between the eyes and brain. This confluence was conjectured by Jana et al [ 83 ] and studied via simulation research [ 84 , 85 ].…”

Section: Introductionmentioning

confidence: 74%

Proof of Concept of Novel Visuo-Spatial-Motor Fall Prevention Training for Old People

et al. 2021

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Falls in the geriatric population are one of the most important causes of disabilities in this age group. Its consequences impose a great deal of economic burden on health and insurance systems. This study was conducted by a multidisciplinary team with the aim of evaluating the effect of visuo-spatial-motor training for the prevention of falls in older adults. The subjects consisted of 31 volunteers aged 60 to 92 years who were studied in three groups: (1) A group under standard physical training, (2) a group under visuo-spatial-motor interventions, and (3) a control group (without any intervention). The results of the study showed that visual-spatial motor exercises significantly reduced the risk of falls of the subjects.

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“…A Linear Accumulation to Threshold with Ergodic Rate (LATER) model has been used to successfully account for reaction time data in eye and hand movement tasks (Asrress and Carpenter 2001; Carpenter and Williams 1995; Dean et al 2011; Gopal and Murthy 2015; Jana et al 2017). The use of a LATER model was largely motivated by its relative simplicity and the ability to quantify the parameters that describe motor recruitment and its association with movement initiation and not necessarily indicative of the underlying neural mechanisms per se.…”

Section: Discussionmentioning

confidence: 99%

Shoulder muscle recruitment of small amplitude motor units during the delay period encodes a reach movement plan which is sensitive to task context

Rungta

Murthy

2022

Preprint

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Understanding how the brain transforms motor plans into the appropriate pattern of muscle activity is a central question in motor control. Whereas some neurophysiological studies in non-human primates have shown the presence of early recruitment of motor units, other studies have reported recruitment of motor units to occur just prior to movement initiation. To address this issue in humans, and test whether early recruitment is task dependent, we studied anterior deltoid muscle activity using high density surface EMG during visually guided delayed and immediate movement tasks while subjects used either hand or isometric cursor movements. Whereas spatially specific delay period activity was present for hand movements, it was absent for isometric movements. Nonetheless, muscle activity was correlated with the time it took to initiate movements in both the task conditions. Further, we used an accumulator framework to assess initiation of movements in different task contexts. Interestingly, we found consistent but different parameters of the accumulator model to play an important role in initiating hand and cursor movements: whereas the growth rate of muscle activity was an important determinant of reaction times in delayed and immediate hand movement tasks, the onset of muscle activity recruitment played a consistent and important role in determining the reaction time for initiating cursor movements during the delayed and immediate tasks. Overall, our results reveal an unexpected heterogeneity of early recruitment as seen with high density surface EMG that may relate to the differential extent of planning engendered during actual hand movements versus isometric movements.

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A Computational Framework for Understanding Eye–Hand Coordination

Cited by 11 publications

References 68 publications

Reaction Time Improvements by Neural Bistability

Reaction Time Improvements by Neural Bistability

Proof of Concept of Novel Visuo-Spatial-Motor Fall Prevention Training for Old People

Shoulder muscle recruitment of small amplitude motor units during the delay period encodes a reach movement plan which is sensitive to task context

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