JSM 2004 - Toronto

Abstract #302117

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Activity Number: 59
Type: Invited
Date/Time: Sunday, August 8, 2004 : 6:00 PM to 7:50 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #302117
Title: Can Sheer Will Control a Robot Arm?
Author(s): Cari Kaufman*+ and Valerie Ventura+
Companies: Carnegie Mellon University and Carnegie Mellon University
Address: , , , 5000 Forbes Ave., Pittsburgh, PA, 15213,
Keywords: particle/Kalman filter ; tuning curves ; neurons ; encoding/decoding
Abstract:

Neurons in motor cortex areas encode information about movement variables in their firing rate, so that, reversing the problem, it is possible to predict movements given the observed firing rates of a population of neurons. Now that it is possible to record the activity of many neurons simulateously, this paradigm can be used to build prosthetic devices. We propose a statistical model that allows a monkey to use a prosthetic arm for reaching tasks. Issues involve determining what movement or feedback variables cortical neurons encode, building an efficient model that is robust to unpredictable variations in the brain, and producing smooth dynamic real-time arm movements.

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Revised March 2004