SUP: The adaptability of cortex in learning modified control algorithms for neuroprosthetics The adaptability of cortex in learning modified control algorithms for neuroprosthetics SUP: The adaptability of cortex in learning modified control algorithms for neuroprosthetics We are progressing well on research supported by our R01 award The adaptability of cortex in learning modified control algorithms for neuroprosthetics. This project is designed to examine the limits of plasticity in the central nervous system as animals learn to control systems under brain-machine interface (BMI). We have one animal trained into the project, have designed novel reinforcement regimes to keep a non-human primate working on difficult tasks in which improvements in performance are incremental. We currently see two key needs which would further enhance of our research productivity. First we need a full-time animal technician to oversee the daily handling of our animals. Second, we need additional recording channels on our neurophysiological equipment to speed data acquisition as well as to expand the number of brain areas we can examine for evidence of plasticity in BMI systems. With these needs in mind, we request an administrative supplement to cover three items over the next two years: 1) the addition of a full-time animal care technician to manage the day-to-day care and handling of the research animals. 2) Additional training for that technician in primate handling, anesthesia, and medical care of primates. 3) Upgrading of our recording system to enable simultaneous recordings of up to 96 channels of single unit and/or local field potential data. The first of these measures brings job creation at ASU, provides a stable position with
|Effective start/end date||9/1/09 → 8/31/11|
- HHS: National Institutes of Health (NIH): $151,636.00
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