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Zaujala me zpráva na Biomech-L, která by mohla být zajímava pro nektere blizke kolegy s podobnym zamerenim, t.j. uziti simulacni techniky jako nastroje k identifikaci pohybovych ridicich procesu. Nevite o tom nekdo neco bliz? POST-DOCTORAL POSITION
We are currently seeking a post-doctoral fellow to train in the Human Movement Laboratory in the graduate program in Exercise Science at SUNY/Buffalo. The project involves psychophysical studies that focus on discerning the neural mechanisms underlying motor adaptation during reaching movements in neurologically intact subjects and patients with specific neurological lesions. Applicants must possess skills in kinematic and kinetic analysis of human movement. Experience in computer programming (any languages) and computer assisted mathematical modeling is encouraged, but not required. This project includes collaborative research with Claude Ghez's Lab at Columbia University, and will require occasional visits to NYC. You may email or call Dr. Sainburg for more information, or send your CV directly to the address listed below.
The Human Movement Laboratory has multiple experimental set-ups for recording human movement during controlled psychophysical experiments. Custom developed software and hardware for recording 3-D and 2-D arm movements is used to present computer-game like experimental tasks. Three dimensional recordings are achieved via Ascension technology 6DOF "flock of birds" system, which allows real-time data presentation during experiments. Up to 16 Channels of Electromyography can also be synchronized with movement recordings. The following is a brief description of current and past projects from our laboratory.
The Human Movement Laboratory, Graduate Program in Exercise Science SUNY/Buffalo Robert L. Sainburg, Ph.D.
The aim of our research program is to discern the neural mechanisms underlying control of multijoint reaching movements in humans. We combine both psychophysical experiments and computer assisted biomechanical simulations to determine the neural processes underlying control of the complex mechanics of the musculoskeletal system. Because of such dynamics, the relationships between muscle activation and movement kinematics are complex and non-linear. Studies in proprioceptively deafferented patients, who lack sense of joint position and movement, have allowed us to examine the role of differenttypes of sensory information in controlling intersegmental coupling forces (Sainburg et al., 1993, 1995; Ghez and Sainburg, 1995). More recent work, in neurologically intact subjects, has confirmed that the nervous system uses sensory information to develop transient representations, or internal models, of musculoskeletal dynamics, in accord with task specific constraints (Sainburg, Kalakanis, and Ghez, 1999). Computer simulations suggest that such representations are utilized to take advantage of specific mechanical properties of the limb during movement planning (Kalakanis and Sainburg, 1999). Recent findings (Sainburg and Kalakanis, in press) indicate that such control is lateralized, such that the dominant arm displays advantages in controlling intersegmental dynamics. These findings are critical in understanding how novel tasks are learned and the degree to which this learning can generalize across different task parameters. We are currently examining interlimb differences in motor adaptation (associated with handedness).
References: Sainburg, R.L. and Kalakanis, D. Differences in control of limb dynamics during dominant and non-dominant arm reaching. (In Press, J. Neurophysiol.) Sainburg, R.L., Kalakanis, D. and Ghez, C. Intersegmental dynamics are controlled by sequential anticipatory, error correction, and positional control mechanisms. J. Neurophysiology 81: 1045-1056, 1999. Sainburg, R.L., Ghilardi, M.F., Poizner, H., and Ghez, C. The Control of limb dynamics in normal subjects and patients without proprioception. J. Neurophysiology 73:2 820-835, 1995. Sainburg, R.L., Poizner, H., and Ghez, C. Loss of Proprioception Produces Deficits in Interjoint Coordination. J. Neurophysiology 70: 2136-2147, 1993. Ghez, C. and Sainburg, R.L. Proprioceptive control of interjoint coordination. Can. J. Physiol. & Pharm. 73:273-284, 1995. Ghez, C., Krakauer, J., Sainburg, R.L., Ghilardi, M.F. Spatial representations and internal models of limb dynamics in motor learning. The Cognitive Neurosciences, second edition. Eds. Gazzaniga, M.S. MIT Press, Cambridge Mass. (In Press,1999). Kalakanis, D. and Sainburg R.L. The quickest path between two points is not a straight line. Soc. Neurosci. Abstr. 760.11, 1999. Sainburg, R.L. and Kalakanis, D. Control of multijoint inertial dynamics is lateralized. Soc. Neurosci. Abstr. 264.7, 1998
Robert L. Sainburg, Ph.D. Director, Human Motor Control Laboratory 90 Farber Hall School of Health Related Professions State University of New York at Buffalo 3435 Main Street, Buffalo NY 14214 voice&fax: 716-829-3258 email: email@example.com
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