Literature DB >> 15834711

Adaptation to a novel multi-force environment.

Isaac Kurtzer1, Paul A DiZio, James R Lackner.   

Abstract

Humans display accurate limb behavior when they move in familiar environments composed of many simultaneously-acting forces. Little is known about how multi-force environments are represented and whether this process partitions between the underlying force components, reflects the net forces present, or is cued to the force-context. We tested between these three main alternatives by examining how reaching movements adapt to a novel multi-force field composed of a velocity-dependent force and a constant force. These hypotheses were dissociated first by making the constant force larger and oppositely-oriented to the velocity-dependent force; thereby, the net force was always opposite the velocity-dependent component. Second, we tested adaptation with all novel forces removed to eliminate any potential cues for the force-context. In two experiments that used forces perpendicular or parallel to the forward movement direction, we found adaptation aftereffects consistent with a mechanism that partitioned the velocity-dependent component from the net force field. Specifically, we found aftereffects opposite the rightward or resistive velocity-dependent component of the multi-force field, even though the net force imposed was leftward or assistive, respectively. An additional experiment suggested that the velocity-dependent component is partitioned relative to the background load in a limb-based coordinate frame.

Entities:  

Keywords:  NASA Discipline Neuroscience; Non-NASA Center

Mesh:

Year:  2005        PMID: 15834711     DOI: 10.1007/s00221-005-2216-y

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  41 in total

1.  Reaching during virtual rotation: context specific compensations for expected coriolis forces.

Authors:  J V Cohn; P DiZio; J R Lackner
Journal:  J Neurophysiol       Date:  2000-06       Impact factor: 2.714

2.  Kinematics and dynamics are not represented independently in motor working memory: evidence from an interference study.

Authors:  Christine Tong; Daniel M Wolpert; J Randall Flanagan
Journal:  J Neurosci       Date:  2002-02-01       Impact factor: 6.167

3.  Do arm postures vary with the speed of reaching?

Authors:  K C Nishikawa; S T Murray; M Flanders
Journal:  J Neurophysiol       Date:  1999-05       Impact factor: 2.714

4.  EMG responses to an unexpected load in fast movements are delayed with an increase in the expected movement time.

Authors:  Mark B Shapiro; Gerald L Gottlieb; Daniel M Corcos
Journal:  J Neurophysiol       Date:  2004-01-14       Impact factor: 2.714

5.  Directional control of planar human arm movement.

Authors:  G L Gottlieb; Q Song; G L Almeida; D A Hong; D Corcos
Journal:  J Neurophysiol       Date:  1997-12       Impact factor: 2.714

6.  Temporal and amplitude generalization in motor learning.

Authors:  S J Goodbody; D M Wolpert
Journal:  J Neurophysiol       Date:  1998-04       Impact factor: 2.714

7.  Moving effortlessly in three dimensions: does Donders' law apply to arm movement?

Authors:  J F Soechting; C A Buneo; U Herrmann; M Flanders
Journal:  J Neurosci       Date:  1995-09       Impact factor: 6.167

8.  Dynamic interactions between limb segments during planar arm movement.

Authors:  M J Hollerbach; T Flash
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

9.  The effect of body orientation on a point-to-point movement in healthy elderly persons.

Authors:  Dawn M Nilsen; Terry R Kaminski; Andrew M Gordon
Journal:  Am J Occup Ther       Date:  2003 Jan-Feb

10.  Acquisition and contextual switching of multiple internal models for different viscous force fields.

Authors:  Yasuhiro Wada; Yasuhiro Kawabata; Shinya Kotosaka; Kenji Yamamoto; Shigeru Kitazawa; Mitsuo Kawato
Journal:  Neurosci Res       Date:  2003-07       Impact factor: 3.304

View more
  9 in total

1.  Absence of after-effects for observers after watching a visuomotor adaptation.

Authors:  Nicole T Ong; Nicola J Hodges
Journal:  Exp Brain Res       Date:  2010-07-23       Impact factor: 1.972

Review 2.  Internal models of limb dynamics and the encoding of limb state.

Authors:  Eun Jung Hwang; Reza Shadmehr
Journal:  J Neural Eng       Date:  2005-08-31       Impact factor: 5.379

3.  Reach adaptation: what determines whether we learn an internal model of the tool or adapt the model of our arm?

Authors:  JoAnn Kluzik; Jörn Diedrichsen; Reza Shadmehr; Amy J Bastian
Journal:  J Neurophysiol       Date:  2008-07-02       Impact factor: 2.714

4.  Human manual control performance in hyper-gravity.

Authors:  Torin K Clark; Michael C Newman; Daniel M Merfeld; Charles M Oman; Laurence R Young
Journal:  Exp Brain Res       Date:  2015-02-05       Impact factor: 1.972

5.  Do we use a priori knowledge of gravity when making elbow rotations?

Authors:  Ilona J Pinter; Arthur J van Soest; Maarten F Bobbert; Jeroen B J Smeets
Journal:  Exp Brain Res       Date:  2011-12-29       Impact factor: 1.972

6.  Statistical analysis of quiet stance sway in 2-D.

Authors:  Avijit Bakshi; Paul DiZio; James R Lackner
Journal:  Exp Brain Res       Date:  2014-01-31       Impact factor: 1.972

Review 7.  Action-specific influences on perception and postperceptual processes: Present controversies and future directions.

Authors:  John W Philbeck; Jessica K Witt
Journal:  Psychol Bull       Date:  2015-11       Impact factor: 17.737

8.  Increasing muscle co-contraction speeds up internal model acquisition during dynamic motor learning.

Authors:  James B Heald; David W Franklin; Daniel M Wolpert
Journal:  Sci Rep       Date:  2018-11-05       Impact factor: 4.379

9.  An Extended Passive Motion Paradigm for Human-Like Posture and Movement Planning in Redundant Manipulators.

Authors:  Paolo Tommasino; Domenico Campolo
Journal:  Front Neurorobot       Date:  2017-11-30       Impact factor: 2.650

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.