Adaptation to visual feedback delays in manual tracking: evidence against the Smith Predictor model of human visually guided action

We report adaptation to delayed visual feedback during a manual tracking task, testing the nature of the adapted responses with frequency analysis. Two groups of seven subjects tracked unpredictable targets using a handheld joystick, alternating between pursuit and compensatory display trials. The test group then practised for 1 h per day with a visual feedback delay of 300 ms; the control group practice under normal undelayed conditions. Introduction of the visual feedback delay significantly disrupted tracking performance, with an increase in errors and a reduction in frequency of corrective movements. Subjects showed clear evidence of adaptation during the 5 day experiment, decreasing tracking error and decreasing the mean power of intermittent corrections. However, there was no evidence of a return towards the initial high frequency intermittent tracking. We suggest that the adaptation observed in this study reflects the modification of predictive feedforward actions, but that these data do not support control based on Smith Prediction.

[1]  O. J. M. Smith,et al.  A controller to overcome dead time , 1959 .

[2]  E. C. Poulton,et al.  Tracking skill and manual control , 1974 .

[3]  R. Miall,et al.  Visuomotor tracking with delayed visual feedback , 1985, Neuroscience.

[4]  R. Miall,et al.  Manual tracking of visual targets by trained monkeys , 1986, Behavioural Brain Research.

[5]  D. J. Weir,et al.  Planning of movement parameters in a visuo-motor tracking task , 1988, Behavioural Brain Research.

[6]  R. Miall,et al.  Cues and control strategies in visually guided tracking. , 1989, Journal of motor behavior.

[7]  R. Miall,et al.  Intermittency in human manual tracking tasks. , 1993, Journal of motor behavior.

[8]  D. Wolpert,et al.  Is the cerebellum a smith predictor? , 1993, Journal of motor behavior.

[9]  R. Miall,et al.  Task-dependent changes in visual feedback control: a frequency analysis of human manual tracking. , 1996, Journal of motor behavior.

[10]  R. Miall,et al.  Digital Object Identifier (DOI) 10.1007/s002219900286 RESEARCH ARTICLE , 2022 .

[11]  Reza Shadmehr,et al.  Computational nature of human adaptive control during learning of reaching movements in force fields , 1999, Biological Cybernetics.

[12]  H. Bülthoff,et al.  Driving in the future: temporal visuomotor adaptation and generalization. , 2001, Journal of vision.

[13]  Mitsuo Kawato,et al.  MOSAIC Model for Sensorimotor Learning and Control , 2001, Neural Computation.

[14]  R. Johansson,et al.  Prediction Precedes Control in Motor Learning , 2003, Current Biology.