Literature DB >> 21940448

Transfer of learned manipulation following changes in degrees of freedom.

Qiushi Fu1, Ziaul Hasan, Marco Santello.   

Abstract

The present study was designed to determine whether manipulation learned with a set of digits can be transferred to grips involving a different number of digits, and possible mechanisms underlying such transfer. The goal of the task was to exert a torque and vertical forces on a visually symmetrical object at object lift onset to balance the external torque caused by asymmetrical mass distribution. Subjects learned this manipulation through consecutive practice using one grip type (two or three digits), after which they performed the same task but with another grip type (e.g., after adding or removing one digit, respectively). Subjects were able to switch grip type without compromising the behavioral outcome (i.e., the direction, timing, and magnitude of the torque exerted on the object was unchanged), despite the use of significantly different digit force-position coordination patterns in the two grip types. Our results support the transfer of learning for anticipatory control of manipulation and indicate that the CNS forms an internal model of the manipulation task independent of the effectors that are used to learn it. We propose that sensory information about the new digit placement--resulting from adding or removing a digit immediately after the switch in grip type--plays an important role in the accurate modulation of new digit force distributions. We discuss our results in relation to studies of manipulation reporting lack of learning transfer and propose a theoretical framework that accounts for failure or success of motor learning generalization.

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Mesh:

Year:  2011        PMID: 21940448      PMCID: PMC6623297          DOI: 10.1523/JNEUROSCI.1143-11.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  19 in total

1.  Grasping uncertainty: effects of sensorimotor memories on high-level planning of dexterous manipulation.

Authors:  Jamie R Lukos; Jason Y Choi; Marco Santello
Journal:  J Neurophysiol       Date:  2013-04-03       Impact factor: 2.714

2.  Dexterous Object Manipulation Requires Context-Dependent Sensorimotor Cortical Interactions in Humans.

Authors:  Pranav J Parikh; Justin M Fine; Marco Santello
Journal:  Cereb Cortex       Date:  2020-05-14       Impact factor: 5.357

3.  Role of digit placement control in sensorimotor transformations for dexterous manipulation.

Authors:  Daisuke Shibata; Marco Santello
Journal:  J Neurophysiol       Date:  2017-08-23       Impact factor: 2.714

4.  Neural Representations of Sensorimotor Memory- and Digit Position-Based Load Force Adjustments Before the Onset of Dexterous Object Manipulation.

Authors:  Michelle Marneweck; Deborah A Barany; Marco Santello; Scott T Grafton
Journal:  J Neurosci       Date:  2018-04-23       Impact factor: 6.167

5.  Multidigit force control during unconstrained grasping in response to object perturbations.

Authors:  Abdeldjallil Naceri; Alessandro Moscatelli; Robert Haschke; Helge Ritter; Marco Santello; Marc O Ernst
Journal:  J Neurophysiol       Date:  2017-02-22       Impact factor: 2.714

Review 6.  Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands.

Authors:  Marco Santello; Matteo Bianchi; Marco Gabiccini; Emiliano Ricciardi; Gionata Salvietti; Domenico Prattichizzo; Marc Ernst; Alessandro Moscatelli; Henrik Jörntell; Astrid M L Kappers; Kostas Kyriakopoulos; Alin Albu-Schäffer; Claudio Castellini; Antonio Bicchi
Journal:  Phys Life Rev       Date:  2016-02-03       Impact factor: 11.025

7.  Generalization of Dexterous Manipulation Is Sensitive to the Frame of Reference in Which It Is Learned.

Authors:  Michelle Marneweck; Elisabeth Knelange; Trevor Lee-Miller; Marco Santello; Andrew M Gordon
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

8.  Learned manipulation at unconstrained contacts does not transfer across hands.

Authors:  Qiushi Fu; Jason Y Choi; Andrew M Gordon; Mark Jesunathadas; Marco Santello
Journal:  PLoS One       Date:  2014-09-18       Impact factor: 3.240

9.  Neural bases of hand synergies.

Authors:  Marco Santello; Gabriel Baud-Bovy; Henrik Jörntell
Journal:  Front Comput Neurosci       Date:  2013-04-08       Impact factor: 2.380

10.  Haptic-motor transformations for the control of finger position.

Authors:  Daisuke Shibata; Jason Y Choi; Juan C Laitano; Marco Santello
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

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