Electrical signals emitted from cells in the motor cortex of monkey brains are correlated with arm movements. Therefore, it should be possible to use motor-cortical signals to drive a prosthetic arm. These researchers are developing and decoding algorithm that is capable of transforming motor cortical signals into a control signal for a prosthetic arm. The decoding algorithm will take shape as an Artificial Neural Network (ANN). ANNs belong to a class of mathematical functions which, when parameterized correctly, can perform arbitrary input/output transformations. The resources of the Supercomputing Institute are helping to significantly decrease the amount of time it takes to find the range of parameters appropriate for this task.
Thomas Naselaris, Graduate Student Researcher
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URL: http://www.msi.umn.edu/about/publications/annualreport/ar2000/depts/MedSchool/Neuroscience/amirikian.html |
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