Publication Date:
2002-06-08
Description:
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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Taylor, Dawn M -- Tillery, Stephen I Helms -- Schwartz, Andrew B -- N01-NS-6-2347/NS/NINDS NIH HHS/ -- N01-NS-9-2321/NS/NINDS NIH HHS/ -- New York, N.Y. -- Science. 2002 Jun 7;296(5574):1829-32.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Bioengineering, Arizona State University, Tempe, AZ 85287-6006, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12052948" target="_blank"〉PubMed〈/a〉
Keywords:
Algorithms
;
Animals
;
Arm/physiology
;
Computer Simulation
;
Hand/physiology
;
Humans
;
*Learning
;
Macaca mulatta
;
Motor Cortex/cytology/*physiology
;
Motor Neurons/*physiology
;
*Movement
;
*Prostheses and Implants
;
User-Computer Interface
;
*Visual Perception
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
