scholarly journals Explicit strategies in force field adaptation

2019 ◽  
Author(s):  
Raphael Schween ◽  
Samuel D. McDougle ◽  
Mathias Hegele ◽  
Jordan A. Taylor
Keyword(s):  
Force Field ◽  
Explicit Knowledge ◽  
Force Production ◽  
Visuomotor Adaptation ◽  
Viscous Force ◽  
Control Group ◽  
Explicit Learning ◽  
Visuomotor Rotation ◽  
Left Hand ◽  
Force Field Adaptation

AbstractIn recent years, it has become increasingly clear that a number of learning processes are at play in visuomotor adaptation tasks. In addition to the presumed formation of an internal model of the perturbation, learners can also develop explicit knowledge allowing them to select better actions in responding to a given perturbation. Advances in visuomotor rotation experiments have underscored the important role that such “explicit learning” plays in shaping adaptation to kinematic perturbations. Yet, in adaptation to dynamic perturbations, its contribution has been largely overlooked, potentially because compensation of a viscous force field, for instance, is difficult to assess by commonly-used verbalization-based approaches. We therefore sought to assess the contribution of explicit learning in learners adapting to a dynamic perturbation by two novel modifications of a force field experiment. First, via an elimination approach, we asked learners to abandon any cognitive strategy before selected force channel trials to expose consciously accessible parts of overall learning. Learners indeed reduced compensatory force compared to standard Catch channels. Second, via a manual reporting approach, we instructed a group of learners to mimic their right hand’s adaptation by moving with their naïve left hand. While a control group displayed negligible left-hand force compensation, the Mimic group reported forces that approximated right-hand adaptation but appeared to under-report the velocity component of the force field in favor of a more position-based component. We take these results to clearly demonstrate the contribution of explicit learning to force adaptation, underscoring its relevance to motor learning in general.New & NoteworthyWhile the role of explicit learning has recently been appreciated in visuomotor adaptation tasks, their contribution to force field adaptation has not been as widely acknowledged. To address this issue, we employed two novel methods to assay explicit learning in force field adaptation tasks and found that learners can voluntarily control aspects of force production and manually report them with their untrained limb. This suggests that an explicit component contributes to force field adaptation and may provide alternative explanations to behavioral phenomena commonly thought to reveal a complex organization of internal models in the brain.

scholarly journals Assessing explicit strategies in force field adaptation

2020 ◽  
Vol 123 (4) ◽  
pp. 1552-1565 ◽  
Author(s):  
Raphael Schween ◽  
Samuel D. McDougle ◽  
Mathias Hegele ◽  
Jordan A. Taylor
Keyword(s):  
Force Field ◽  
Force Production ◽  
Visuomotor Adaptation ◽  
Explicit Learning ◽  
Force Field Adaptation ◽  
Novel Methods ◽  
Adaptation Task

While the contribution of explicit learning has been increasingly studied in visuomotor adaptation, its contribution to force field adaptation has not been studied extensively. We employed two novel methods to assay explicit learning in a force field adaptation task and found that learners can voluntarily control aspects of compensatory force production and manually report it with their untrained limb. This supports the general viability of the contribution of explicit learning also in force field adaptation.

scholarly journals Trial-by-trial analysis of intermanual transfer during visuomotor adaptation

2011 ◽  
Vol 106 (6) ◽  
pp. 3157-3172 ◽  
Author(s):  
Jordan A. Taylor ◽  
Greg J. Wojaczynski ◽  
Richard B. Ivry
Keyword(s):  
Skill Acquisition ◽  
Training Transfer ◽  
Visuomotor Adaptation ◽  
Single Step ◽  
Hand Movements ◽  
Intermanual Transfer ◽  
Visuomotor Rotation ◽  
Left Hand ◽  
Right Hand ◽  
The Right

Studies of intermanual transfer have been used to probe representations formed during skill acquisition. We employ a new method that provides a continuous assay of intermanual transfer, intermixing right- and left-hand trials while limiting visual feedback to right-hand movements. We manipulated the degree of awareness of the visuomotor rotation, introducing a 22.5° perturbation in either an abrupt single step or gradually in ∼1° increments every 10 trials. Intermanual transfer was observed with the direction of left-hand movements shifting in the opposite direction of the rotation over the course of training. The transfer on left-hand trials was less than that observed in the right hand. Moreover, the magnitude of transfer was larger in our mixed-limb design compared with the standard blocked design in which transfer is only probed at the end of training. Transfer was similar in the abrupt and gradual groups, suggesting that awareness of the perturbation has little effect on intermanual transfer. In a final experiment, participants were provided with a strategy to offset an abrupt rotation, a method that has been shown to increase error over the course of training due to the operation of sensorimotor adaptation. This deterioration was also observed on left-hand probe trials, providing further support that awareness has little effect on intermanual transfer. These results indicate that intermanual transfer is not dependent on the implementation of cognitively assisted strategies that participants might adopt when they become aware that the visuomotor mapping has been perturbed. Rather, the results indicate that the information available to processes involved in adaptation entails some degree of effector independence.

scholarly journals Sensitivity to Error During Visuomotor Adaptation is Similarly Modulated by Abrupt, Gradual and Random Perturbation Schedules

2021 ◽  
Author(s):  
Susan Coltman ◽  
Robert J. van Beers ◽  
Pieter W Medendorp ◽  
Paul Gribble
Keyword(s):  
Random Perturbation ◽  
Visuomotor Adaptation ◽  
Learning Processes ◽  
Control Group ◽  
Initial Training ◽  
Prior Learning ◽  
Visuomotor Rotation ◽  
Learning Groups ◽  
Error Sensitivity ◽  
Slow Learning

It has been suggested that sensorimotor adaptation involves at least two processes (i.e., fast and slow) that differ in retention and error sensitivity. Previous work has shown that repeated exposure to an abrupt force field perturbation results in greater error sensitivity for both the fast and slow processes. While this implies that the faster relearning is associated with increased error sensitivity, it remains unclear what aspects of prior experience modulate error sensitivity. In the present study, we manipulated the initial training using different perturbation schedules, thought to differentially affect fast and slow learning processes based on error magnitude, and then observed what effect prior learning had on subsequent adaptation. During initial training of a visuomotor rotation task, we exposed three groups of participants to either an abrupt, a gradual, or a random perturbation schedule. During a testing session, all three groups were subsequently exposed to an abrupt perturbation schedule. Comparing the two sessions of the control group who experienced repetition of the same perturbation, we found an increased error sensitivity for both processes. We found that the error sensitivity was increased for both the fast and slow processes, with no reliable changes in the retention, for both the gradual and structural learning groups when compared to the first session of the control group. We discuss the findings in the context of how fast and slow learning processes respond to a history of errors.

scholarly journals Exploration of joint redundancy but not task space variability facilitates supervised motor learning

2016 ◽  
Vol 113 (50) ◽  
pp. 14414-14419 ◽  
Author(s):  
Puneet Singh ◽  
Sumitash Jana ◽  
Ashitava Ghosal ◽  
Aditya Murthy
Keyword(s):  
Motor Learning ◽  
Force Field ◽  
Visuomotor Adaptation ◽  
Dominant Hand ◽  
Task Space ◽  
Motor Variability ◽  
3D Space ◽  
Human Arm ◽  
Force Field Adaptation ◽  
Redundant Component

The number of joints and muscles in a human arm is more than what is required for reaching to a desired point in 3D space. Although previous studies have emphasized how such redundancy and the associated flexibility may play an important role in path planning, control of noise, and optimization of motion, whether and how redundancy might promote motor learning has not been investigated. In this work, we quantify redundancy space and investigate its significance and effect on motor learning. We propose that a larger redundancy space leads to faster learning across subjects. We observed this pattern in subjects learning novel kinematics (visuomotor adaptation) and dynamics (force-field adaptation). Interestingly, we also observed differences in the redundancy space between the dominant hand and nondominant hand that explained differences in the learning of dynamics. Taken together, these results provide support for the hypothesis that redundancy aids in motor learning and that the redundant component of motor variability is not noise.

scholarly journals Flexible explicit but rigid implicit learning in a visuomotor adaptation task

2015 ◽  
Vol 113 (10) ◽  
pp. 3836-3849 ◽  
Author(s):  
Krista M. Bond ◽  
Jordan A. Taylor
Keyword(s):  
Implicit Learning ◽  
Computational Models ◽  
Visuomotor Adaptation ◽  
Task Demands ◽  
Similar Degree ◽  
Explicit Learning ◽  
Prediction Errors ◽  
Visuomotor Rotation ◽  
Indirect Measures ◽  
Task Conditions

There is mounting evidence for the idea that performance in a visuomotor rotation task can be supported by both implicit and explicit forms of learning. The implicit component of learning has been well characterized in previous experiments and is thought to arise from the adaptation of an internal model driven by sensorimotor prediction errors. However, the role of explicit learning is less clear, and previous investigations aimed at characterizing the explicit component have relied on indirect measures such as dual-task manipulations, posttests, and descriptive computational models. To address this problem, we developed a new method for directly assaying explicit learning by having participants verbally report their intended aiming direction on each trial. While our previous research employing this method has demonstrated the possibility of measuring explicit learning over the course of training, it was only tested over a limited scope of manipulations common to visuomotor rotation tasks. In the present study, we sought to better characterize explicit and implicit learning over a wider range of task conditions. We tested how explicit and implicit learning change as a function of the specific visual landmarks used to probe explicit learning, the number of training targets, and the size of the rotation. We found that explicit learning was remarkably flexible, responding appropriately to task demands. In contrast, implicit learning was strikingly rigid, with each task condition producing a similar degree of implicit learning. These results suggest that explicit learning is a fundamental component of motor learning and has been overlooked or conflated in previous visuomotor tasks.

scholarly journals Sensitivity to error during visuomotor adaptation is similarly modulated by abrupt, gradual and random perturbation schedules

2021 ◽  
Author(s):  
Susan K Coltman ◽  
Robert J van Beers ◽  
W. Pieter Medendorp ◽  
Paul L Gribble
Keyword(s):  
Random Perturbation ◽  
Visuomotor Adaptation ◽  
Learning Processes ◽  
Control Group ◽  
Initial Training ◽  
Prior Learning ◽  
Visuomotor Rotation ◽  
Learning Groups ◽  
Error Sensitivity ◽  
Slow Learning

It has been suggested that sensorimotor adaptation involves at least two processes (i.e., fast and slow) that differ in retention and error sensitivity. Previous work has shown that repeated exposure to an abrupt force field perturbation results in greater error sensitivity for both the fast and slow processes. While this implies that the faster relearning is associated with increased error sensitivity, it remains unclear what aspects of prior experience modulate error sensitivity. In the present study, we manipulated the initial training using different perturbation schedules, thought to differentially affect fast and slow learning processes based on error magnitude, and then observed what effect prior learning had on subsequent adaptation. During initial training of a visuomotor rotation task, we exposed three groups of participants to either an abrupt, a gradual, or a random perturbation schedule. During a testing session, all three groups were subsequently exposed to an abrupt perturbation schedule. Comparing the two sessions of the control group who experienced repetition of the same perturbation, we found an increased error sensitivity for both processes. We found that the error sensitivity was increased for both the fast and slow processes, with no reliable changes in the retention, for both the gradual and structural learning groups when compared to the first session of the control group. We discuss the findings in the context of how fast and slow learning processes respond to a history of errors.

scholarly journals Symmetric Intralimb Transfer of Skilled Isometric Force Production

2018 ◽  
Author(s):  
Vikram A Rajan ◽  
Robert M Hardwick ◽  
Pablo A Celnik
Keyword(s):  
Skill Acquisition ◽  
Error Detection ◽  
Isometric Force ◽  
Force Production ◽  
Visuomotor Adaptation ◽  
Skill Learning ◽  
Control Group ◽  
Error Detection And Correction ◽  
Potential Applications ◽  
Asymmetric Learning

Motor control theories propose that the same motor plans can be employed by different effectors. Skills learned with one effector can therefore 'transfer' to others, which has potential applications in clinical situations. However, evidence from visuomotor adaptation suggests this effect is asymmetric; learning can be generalized from proximal-to-distal effectors (e.g. arm to hand), but not from distal-to-proximal effectors (e.g. hand to arm). We propose that skill learning may not be subject to this asymmetry, as it relies on multiple learning processes beyond error detection and correction. Participants learned a skill task involving the production of isometric forces. We assessed their ability to perform the task with the hand and arm. One group trained to perform the task using only their hand, while a second trained using only their arm. In a final assessment, we found that participants who trained with either effector improved their skill in performing the task with both their hand and arm. There was no change in a control group that did not train between assessments, indicating that gains were related to the training, not the multiple assessments. These results indicate that in contrast to visuomotor adaptation, motor skills can generalize from both proximal-to-distal and distal-to-proximal effectors. We propose this is due to differences in the processes underlying skill acquisition in comparison to visuomotor adaptation.

scholarly journals Hand Preference and Performance in Basketball Tasks

2019 ◽  
Vol 16 (22) ◽  
pp. 4336 ◽  
Author(s):  
Emanuela Gualdi-Russo ◽  
Natascia Rinaldo ◽  
Alba Pasini ◽  
Luciana Zaccagni
Keyword(s):  
Professional Training ◽  
Factor Model ◽  
Hand Preference ◽  
Control Group ◽  
Basketball Players ◽  
Confirmatory Factor Analyses ◽  
Left Hand ◽  
Confirmatory Factor ◽  
And Performance ◽  
The Right

The aims of this study were to develop and validate an instrument to quantitatively assess the handedness of basketballers in basketball tasks (Basketball Handedness Inventory, BaHI) and to compare it with their handedness in daily activities by the Edinburgh Handedness Inventory (EHI). The participants were 111 basketballers and 40 controls. All subjects completed the EHI and only basketballers filled in the BaHI. To validate the BaHI, a voluntary subsample of basketballers repeated the BaHI. Exploratory and confirmatory factor analyses supported a two-factor model. Our results show that: (i) Handedness score (R) in daily actions did not differ between basketball players (R by EHI = 69.3 ± 44.6) and the control group (R by EHI = 64.5 ± 58.6); (ii) basketballers more frequently favored performing certain sport tasks with the left hand or mixed hands (as highlighted by R by BaHI = 50.1 ± 47.1), although their choice was primarily the right hand in everyday gestures; and (iii) this preference was especially true for athletes at the highest levels of performance (R by BaHI of A1 league = 38.6 ± 58.3) and for those playing in selected roles (point guard’s R = 29.4 ± 67.4). Our findings suggest that professional training induces handedness changes in basketball tasks. The BaHI provides a valid and reliable measure of the skilled hand in basketball. This will allow coaches to assess mastery of the ball according to the hand used by the athlete in the different tasks and roles.

scholarly journals General Assumption of Psychological Behavior Based on Finger Print Pattern

2011 ◽  
Vol 3 (1) ◽  
Author(s):  
Kishore Kumar Agarwal ◽  
Hemant Kumar Dutt ◽  
Alok Saxena ◽  
Deepak Dimri ◽  
Daulat Singh ◽  
...  
Keyword(s):  
Normal Population ◽  
General Assumption ◽  
Control Group ◽  
Left Hand ◽  
Behavioral Traits ◽  
Finger Print ◽  
Right Hand ◽  
Psychological Behavior ◽  
Hilly Region ◽  
Invaluable Tool

The impressions from the pulp of finger are known as fingerprints. Using fingerprints to identify indi­viduals has become an invaluable tool worldwide. A Study of finger print pattern was performed in the prisoners and normal population (non prisoners) of hilly region to compare whorls, loops, arches and composites in each hand using ink technique. The goal of the study was to identify the behavioral traits (somatic, psychological and Neurological) of these two groups on the basis of finger print pattern. Prevalence of whorls and arches were more in right hand of control group as compare to prisoners. On contrary, loops were found more in right hand of prisoners than control group. Left hand of control and prisoners showed following results: whorls and arches in control group > prisoners and loops in prisoners > control group. Aforementioned Results were found statistically significant.

Sign in / Sign up

Export Citation Format

Share Document