Increasing the performance of cortically-controlled prostheses.
Neural prostheses have received considerable attention due to their potential to dramatically improve the quality of life of severely disabled patients. Cortically-controlled prostheses are able to translate neural activity from cerebral cortex into control signals for guiding computer cursors or prosthetic limbs. Non-invasive and invasive electrode techniques can be used to measure neural activity, with the latter promising considerably higher levels of performance and therefore functionality to patients. We review here some of our recent experimental and computational work aimed at establishing a principled design methodology to increase electrode-based cortical prosthesis performance to near theoretical limits. Studies discussed include translating unprecedentedly brief periods of "plan" activity into high information rate (6.5 bits/s)control signals, improving decode algorithms and optimizing visual target locations for further performance increases, and recording from chronically implanted arrays in freely behaving monkeys to characterize neuron stability. Taken together, these results should substantially increase the clinical viability of cortical prostheses.
Shenoy
Krishna V
KV
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA. shenoy@stanford.edu
Santhanam
Gopal
G
Ryu
Stephen I
SI
Afshar
Afsheen
A
Yu
Byron M
BM
Gilja
Vikash
V
Linderman
Michael D
MD
Kalmar
Rachel S
RS
Cunningham
John P
JP
Kemere
Caleb T
CT
Batista
Aaron P
AP
Churchland
Mark M
MM
Meng
Teresa H
TH
D000465:Algorithms; D000818:Animals; D001186:Artificial Limbs; D002540:Cerebral Cortex / Q000502:physiology*; D004567:Electrodes, Implanted; D008253:Macaca mulatta; D011474:Prosthesis Design; D014584:User-Computer Interface