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S D Prentice

Showing results (1-10 of 7) with videos related to

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Journal of Neurophysiology|February 13, 2001
Contributions of the reticulospinal system to the postural adjustments occurring during voluntary gait modificationsS D Prentice, T Drew
Experimental Brain Research|January 1, 1995
The role of active forces and intersegmental dynamics in the control of limb trajectory over obstacles during locomotion in humansA E Patla, S D Prentice
Experimental Brain Research|December 31, 1998
Simple artificial neural network models can generate basic muscle activity patterns for human locomotion at different speedsS D Prentice, A E Patla, D A Stacey
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|February 13, 2001
Artificial neural network model for the generation of muscle activation patterns for human locomotionS D Prentice, A E Patla, D A Stacey
Medical & Biological Engineering & Computing|May 1, 1995
Modelling the time-keeping function of the central pattern generator for locomotion using artificial sequential neural networkS D Prentice, A E Patla, D A Stacey
Journal of Experimental Psychology. Human Perception and Performance|August 1, 1991
Visual control of locomotion: strategies for changing direction and for going over obstaclesA E Patla, S D Prentice, C Robinson, et al.
Experimental Brain Research|October 29, 1999
What guides the selection of alternate foot placement during locomotion in humansA E Patla, S D Prentice, S Rietdyk, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Neurophysiology|February 13, 2001
Contributions of the reticulospinal system to the postural adjustments occurring during voluntary gait modificationsS D Prentice, T Drew
Experimental Brain Research|January 1, 1995
The role of active forces and intersegmental dynamics in the control of limb trajectory over obstacles during locomotion in humansA E Patla, S D Prentice
Experimental Brain Research|December 31, 1998
Simple artificial neural network models can generate basic muscle activity patterns for human locomotion at different speedsS D Prentice, A E Patla, D A Stacey
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|February 13, 2001
Artificial neural network model for the generation of muscle activation patterns for human locomotionS D Prentice, A E Patla, D A Stacey
Medical & Biological Engineering & Computing|May 1, 1995
Modelling the time-keeping function of the central pattern generator for locomotion using artificial sequential neural networkS D Prentice, A E Patla, D A Stacey
Journal of Experimental Psychology. Human Perception and Performance|August 1, 1991
Visual control of locomotion: strategies for changing direction and for going over obstaclesA E Patla, S D Prentice, C Robinson, et al.
Experimental Brain Research|October 29, 1999
What guides the selection of alternate foot placement during locomotion in humansA E Patla, S D Prentice, S Rietdyk, et al.
Pageof 1