Karen Moxon
Research ProfessorÂ
School of Biomedical Engineering, Science & Health Systems
Drexel University
United States of America
Biography
Dr. Moxon is a part-time research professor and principle investigator of the Neurorobotics Lab at Drexel University's School of Biomedical Engineering, Science and Health Systems. In addition, she serves as the School's Associate Director for Research and has a joint appointment to the Department of Neurobiology and Anatomy in the College of Medicine and maintains a Research Scientist appointment at Shriners Hospital for Children in Philadelphia. She has conducted ground breaking research in neuroengineering, developing computational approaches to study the encoding of sensory and motor information. An important focus of her work is the impact of neural injury on the representation of information in the brain. Early in her career, she contributed to the first demonstration of a closed-loop, real-time brain-machine interface system in a rat model that was quickly translated to non-human primates and, more recently, to humans with neurological disorders. This work has spurred an entirely new disciple within neuroengineering that has had a global impact. Dr. Moxon maintains an active research program, combining signal processing and the development of neural interface devices with computational approaches to study how changes in neural encoding contribute to recovery of function after spinal cord injury.
Research Interest
Computational modeling, neural modeling, neurorobotics, neuromimetics, neurocontrol, multiple,single neuron recording.
Publications
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Grasse D, Moxon KA, A method for correcting the bias in the estimate of the spike field coherence due to finite number of spikes, J Neurophysiol. 2010 May 19. [Epub ahead of print] PubMed PMID: 20484529.
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Aguilar J, Humanes-Valera D, Alonso-Calviño E, Yague JG, Moxon KA, Oliviero A, Foffani G, Spinal cord injury immediately changes the state of the brain, J Neuroscience, in press, 2010
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Chapin, J.K., Moxon, K.A., Markowitz, R.S., Nicolelis, M.A.L. Realtime control of a robot arm using simultaneously recorded neurons. Nature Neuroscience, 2(7):1-7, 1999.