Elucidation of the Neural Computations Leading to Coordinated Action
Movement Field of a Cell in the Caudal Superior Colliculus of the Rhesus Monkey. Freedman Lab
The Motor Physiology Group at the University of Rochester is an association of faculty spanning several Departments who share a scientific interest: Elucidation of the neural computations leading to coordinated action. The ability to smoothly coordinate movements requires processing of sensory information, selection of appropriate behaviors, integration of sensory feedback and motor commands, adaptation to novel stimuli and external conditions, as well as planning and execution of simultaneous motor outcomes. Failure to implement these computationally intensive elements affects our ability to function at many levels and can be observed in the variety of clinical disorders arising from damage to the basal ganglia, cerebral cortex, brainstem and cerebellum. Members of the Motor Physiology Group approach these important issues from different analytical levels and use a variety of modern neurophysiological, behavioral and clinical techniques. The result is a vibrant, diverse group of scientists with extensive expertise and common interests.
Reconstruction of neurons in the primary motor cortex hand representation. Schieber Lab
The Motor Physiology Group meets regularly to discuss ongoing research, share technical and analytical advances, debate relevant theoretical and experimental issues, and to enjoy the dynamic intellectual environment which emerges. In addition, group activities include invitations to visiting scientists, recruitment of students interested in graduate or post-graduate training, and in promotion of collaborations amongst group members as well as with other University of Rochester faculty involved in systems neuroscience research.
- Pilot Testing Behavior Therapy for Chronic Tic Disorders in Neurology and Developmental Pediatrics Clinics.J Child Neurol. (2015 Aug 13).
- Treatment of paroxysmal dyskinesias in children.Curr Treat Options Neurol. 17, 350. (2015 Jun 01).
- Neuron selection based on deflection coefficient maximization for the neural decoding of dexterous finger movements.IEEE Trans Neural Syst Rehabil Eng. 23, 374-84. (2015 May 01).