@inproceedings{9fcd78c985594344b5c92b6e908529af,
title = "Visual training for population vector based cortical control",
abstract = "We have developed a method for training animals to control a variety of devices from cortical signals [14]. In this report we describe a protocol to parameterize a cortical control algorithm without an animal having to move its arm. Instead, a highly motivated animal observes a computer cursor moving towards a set of targets once each in a center-out task. From the neuronal activity recorded in this visual following task, we compute the set of preferred directions for the neurons. We find that the quality of fit in this early set of trials is highly predictive of each neuron's contribution to the overall cortical control.",
keywords = "Algorithm, Cortical coding, Cortical control, Motor cortex, Neuroprosthetics",
author = "R. Wahnoun and {Helms Tillery}, Stephen and Jiping He",
note = "Funding Information: The authors gratefully acknowledge the technical assistance provided by Wenshan Lin in performing these experiments. The work is partly funded by DARPA under the grant number MDA972-00-1-0027 and partly funded by the Biodesign Institute, Arizona State University.; 2005 First International Conference on Neural Interface and Control ; Conference date: 26-05-2005 Through 28-05-2005",
year = "2005",
doi = "10.1109/ICNIC.2005.1499880",
language = "English (US)",
isbn = "0780389026",
series = "2005 First International Conference on Neural Interface and Control, Proceedings",
pages = "213--216",
booktitle = "2005 First International Conference on Neural Interface and Control, Proceedings",
}