Literature DB >> 16736179

Limits to human movement planning with delayed and unpredictable onset of needed information.

Julia Trommershäuser1, Joanna Mattis, Laurence T Maloney, Michael S Landy.   

Abstract

In motor tasks with explicit rewards and penalties, humans choose movement strategies that nearly maximize expected gain (Trommershäuser et al. in J Opt Soc Am A 20:1419-1433, 2003). Here, we examine whether performance is still close to optimal when information about payoffs is not available prior to movement onset. Subjects rapidly touched a target region while trying to avoid hitting an overlapping penalty region placed randomly to the left or right of the target. Subjects received rewards and incurred penalties for hitting the corresponding regions. Late responses (>700 ms) were heavily penalized. The penalty region was displayed 0, 200 or 400 ms after the reward region and the subject could not know where it would be until then. Reaction times to begin the movement after stimulus appearance were constant across conditions. Median reaction times were approximately 200 ms, i.e., the time the penalty was first displayed in the 200 ms delay condition. Performance was compared to that of an optimal movement planner that chooses mean end points to maximize expected gain despite movement variability. In the 0 and 200 ms delay conditions, subjects selected strategies that did not differ significantly from optimal, indicating that humans are able to plan their movements well despite delayed and unpredictable onset of information. Performance dropped below optimal in the 400 ms delay condition, with mean movement end points closer to the penalty region than predicted by the optimal strategy (in the high-penalty condition). We conclude that relevant information concerning the reward structure is required between 200 and 400 ms prior to the end of the movement, but can still be integrated into the movement plan after movement initiation.

Entities:  

Mesh:

Year:  2006        PMID: 16736179     DOI: 10.1007/s00221-006-0546-z

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


  24 in total

1.  The role of visual feedback of hand position in the control of manual prehension.

Authors:  J D Connolly; M A Goodale
Journal:  Exp Brain Res       Date:  1999-04       Impact factor: 1.972

2.  The effects of abrupt onset of 2-D and 3-D distractors on prehension movements.

Authors:  U Castiello
Journal:  Percept Psychophys       Date:  2001-08

3.  Dynamic effects of the Ebbinghaus illusion in grasping: support for a planning/control model of action.

Authors:  Scott Glover; Peter Dixon
Journal:  Percept Psychophys       Date:  2002-02

4.  Statistical decision theory and trade-offs in the control of motor response.

Authors:  Julia Trommershäuser; Laurence T Maloney; Michael S Landy
Journal:  Spat Vis       Date:  2003

5.  Error processing in pointing at randomly feedback-induced double-step stimuli.

Authors:  E Komilis; D Pélisson; C Prablanc
Journal:  J Mot Behav       Date:  1993-12       Impact factor: 1.328

6.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

7.  Hand deviations away from visual cues: indirect evidence for inhibition.

Authors:  L A Howard; S P Tipper
Journal:  Exp Brain Res       Date:  1997-01       Impact factor: 1.972

8.  Visual control of reaching movements without vision of the limb. II. Evidence of fast unconscious processes correcting the trajectory of the hand to the final position of a double-step stimulus.

Authors:  D Pélisson; C Prablanc; M A Goodale; M Jeannerod
Journal:  Exp Brain Res       Date:  1986       Impact factor: 1.972

Review 9.  Planning reaches by evaluating stored postures.

Authors:  D A Rosenbaum; L D Loukopoulos; R G Meulenbroek; J Vaughan; S E Engelbrecht
Journal:  Psychol Rev       Date:  1995-01       Impact factor: 8.934

10.  Online control of the direction of rapid reaching movements.

Authors:  Fabrice Sarlegna; Jean Blouin; Jean-Louis Vercher; Jean-Pierre Bresciani; Christophe Bourdin; Gabriel M Gauthier
Journal:  Exp Brain Res       Date:  2004-03-09       Impact factor: 1.972

View more
  4 in total

1.  Updating the programming of a precision grip is a function of recent history of available feedback.

Authors:  Robert L Whitwell; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2009-03-06       Impact factor: 1.972

2.  Dissociating error-based and reinforcement-based loss functions during sensorimotor learning.

Authors:  Joshua G A Cashaback; Heather R McGregor; Ayman Mohatarem; Paul L Gribble
Journal:  PLoS Comput Biol       Date:  2017-07-28       Impact factor: 4.475

3.  Sensorimotor strategy selection under time constraints in the presence of two motor targets with different values.

Authors:  Ryoji Onagawa; Kazutoshi Kudo
Journal:  Sci Rep       Date:  2021-11-15       Impact factor: 4.379

4.  Sub-optimal allocation of time in sequential movements.

Authors:  Shih-Wei Wu; Maria F Dal Martello; Laurence T Maloney
Journal:  PLoS One       Date:  2009-12-09       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.