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J Neurophysiol (July 21, 2004). doi:10.1152/jn.00357.2004
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Submitted on April 7, 2004
Accepted on July 17, 2004

The parietal representation of hand velocity in a copy task

Bruno B. Averbeck, Matthew V. Chafee, David A. Crowe, and Apostolos P. Georgopoulos*

* To whom correspondence should be addressed. E-mail: omega{at}umn.edu.

We recorded neural activity from ensembles of neurons in areas 5 and 2 of parietal cortex, while two monkeys copied triangles, squares, trapezoids, and inverted triangles, and used both linear and nonlinear models to predict the hand velocity from the neural activity of the ensembles. The linear model generally outperformed the nonlinear model, suggesting a reasonably linear relation between the neural activity and the hand velocity. We also found that the average transfer function of the linear model fit to individual cells was a low-pass filter, since the neural response had considerable high-frequency power, whereas the hand velocity only had power at frequencies below about 5 Hz. Increasing the width of the transfer function improved the fit of the model, up to a width of 700-800 ms. Furthermore, the Rsqr of the linear model improved monotonically with the number of cells in the ensemble, saturating at 60-80% for a filter width of 700 ms. Finally, it was found that including an interaction term, which allowed the transfer function to shift with the eye position, did not improve the fit of the model. Thus, ensemble neural responses in superior parietal cortex provide a high-fidelity, linear representation of hand kinematics within our task.




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