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      Direct cortical control of 3D neuroprosthetic devices.

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          Abstract

          Three-dimensional (3D) movement of neuroprosthetic devices can be controlled by the activity of cortical neurons when appropriate algorithms are used to decode intended movement in real time. Previous studies assumed that neurons maintain fixed tuning properties, and the studies used subjects who were unaware of the movements predicted by their recorded units. In this study, subjects had real-time visual feedback of their brain-controlled trajectories. Cell tuning properties changed when used for brain-controlled movements. By using control algorithms that track these changes, subjects made long sequences of 3D movements using far fewer cortical units than expected. Daily practice improved movement accuracy and the directional tuning of these units.

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          Author and article information

          Journal
          Science
          Science (New York, N.Y.)
          American Association for the Advancement of Science (AAAS)
          1095-9203
          0036-8075
          Jun 07 2002
          : 296
          : 5574
          Affiliations
          [1 ] Department of Bioengineering, Arizona State University, Tempe, AZ 85287-6006, USA.
          Article
          296/5574/1829
          10.1126/science.1070291
          12052948
          9c58c005-cd8d-4b1e-863b-024154fa81b1

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