Intercepting moving targets: does memory from practice in a specific condition of target displacement affect movement timing?

This investigation aimed at assessing the extent to which memory from practice in a specific condition of target displacement modulates temporal errors and movement timing of interceptive movements. We compared two groups practicing with certainty of future target velocity either in unchanged target velocity or in target velocity decrease. Following practice, both experimental groups were probed in the situations of unchanged target velocity and target velocity decrease either under the context of certainty or uncertainty about target velocity. Results from practice showed similar improvement of temporal accuracy between groups, revealing that target velocity decrease did not disturb temporal movement organization when fully predictable. Analysis of temporal errors in the probing trials indicated that both groups had higher timing accuracy in velocity decrease in comparison with unchanged velocity. Effect of practice was detected by increased temporal accuracy of the velocity decrease group in situations of decreased velocity; a trend consistent with the expected effect of practice was observed for temporal errors in the unchanged velocity group and in movement initiation at a descriptive level. An additional point of theoretical interest was the fast adaptation in both groups to a target velocity pattern different from that practiced. These points are discussed under the perspective of integration of vision and motor control by means of an internal forward model of external motion.

[1]  Francesco Lacquaniti,et al.  Internal model of gravity for hand interception: parametric adaptation to zero-gravity visual targets on Earth. , 2005, Journal of neurophysiology.

[2]  Anne-Marie Brouwer,et al.  Hitting moving objects: is target speed used in guiding the hand? , 2002, Experimental Brain Research.

[3]  Luis Augusto Teixeira,et al.  Are the elderly able to appropriately reprogram their actions? , 2006, Motor control.

[4]  B. Bardy,et al.  Perception-action coupling and expertise in interceptive actions. , 2005, Human movement science.

[5]  Rob Gray,et al.  “Markov at the Bat”: A Model of Cognitive Processing in Baseball Batters , 2002, Psychological science.

[6]  Rob Gray,et al.  Behavior of college baseball players in a virtual batting task. , 2002, Journal of experimental psychology. Human perception and performance.

[7]  J A Spray,et al.  Absolute error revisited: an accuracy indicator in disguise. , 1986, Journal of motor behavior.

[8]  Romeo Chua,et al.  Use of visual information in the correction of interceptive actions , 2006, Experimental Brain Research.

[9]  Cathy Craig,et al.  Using Time-to-Contact Information to Assess Potential Collision Modulates Both Visual and Temporal Prediction Networks , 2008, Frontiers in human neuroscience.

[10]  Welber Marinovic,et al.  The effect of priming on interceptive actions. , 2010, Acta psychologica.

[11]  D. Glencross,et al.  Response amendments during manual aiming movements to double-step targets. , 1989, Acta psychologica.

[12]  F. Lacquaniti,et al.  Visuo-motor coordination and internal models for object interception , 2009, Experimental Brain Research.

[13]  Luis Augusto Teixeira,et al.  Control of interceptive actions is based on expectancy of time to target arrival , 2009, Experimental Brain Research.

[14]  F. Lacquaniti,et al.  Internal models of target motion: expected dynamics overrides measured kinematics in timing manual interceptions. , 2004, Journal of neurophysiology.

[15]  Ian M Franks,et al.  Reprogramming of Interceptive Actions: Time Course of Temporal Corrections for Unexpected Target Velocity Change , 2006, Journal of motor behavior.

[16]  J. Tresilian Hitting a moving target: Perception and action in the timing of rapid interceptions , 2005, Perception & psychophysics.

[17]  Anne-Marie Brouwer,et al.  Hitting moving targets: effects of target speed and dimensions on movement time , 2005, Experimental Brain Research.

[18]  Eli Brenner,et al.  The quantitative use of velocity information in fast interception , 2004, Experimental Brain Research.

[19]  Vincenzo Maffei,et al.  Extrapolation of vertical target motion through a brief visual occlusion , 2010, Experimental Brain Research.

[20]  Irene E. Nagel,et al.  Human Aging Magnifies Genetic Effects on Executive Functioning and Working Memory , 2008, Frontiers in human neuroscience.

[21]  Simon J. Bennett,et al.  Advance knowledge effects on kinematics of one-handed catching , 2010, Experimental Brain Research.

[22]  Richard Apps,et al.  An internal model of a moving visual target in the lateral cerebellum , 2009, The Journal of physiology.

[23]  F. Lacquaniti,et al.  Fast adaptation of the internal model of gravity for manual interceptions: evidence for event-dependent learning. , 2005, Journal of neurophysiology.

[24]  Francesco Lacquaniti,et al.  The role of vision in tuning anticipatory motor responses of the limbs , 1993 .

[25]  F. Lacquaniti,et al.  Representation of Visual Gravitational Motion in the Human Vestibular Cortex , 2005, Science.

[26]  Francesco Lacquaniti,et al.  Anticipating the effects of gravity when intercepting moving objects: differentiating up and down based on nonvisual cues. , 2005, Journal of neurophysiology.

[27]  S. Pollmann,et al.  Retinotopic Activation in Response to Subjective Contours in Primary Visual Cortex , 2008, Frontiers in human neuroscience.

[28]  E. Brenner,et al.  The effect of expectations on hitting moving targets: influence of the preceding target's speed , 2001, Experimental Brain Research.

[29]  J. Tresilian,et al.  Preparation and inhibition of interceptive actions , 2009, Experimental Brain Research.

[30]  A. Berthoz Multisensory control of movement , 1993 .

[31]  Luis Augusto Teixeira,et al.  The continuous nature of timing reprogramming in an interceptive task , 2005, Journal of sports sciences.

[32]  Martin Faint,et al.  Does the brain model newton’s laws? , 2001 .