Name
Title | ||
|---|---|---|
A computationally efficient method for incorporating spike waveform information into decoding algorithms. |
Abstract | ||
|---|---|---|
Spike-based brain-computer interfaces (BCIs) have the potential to restore motor ability to people with paralysis and amputation, and have shown impressive performance in the lab. To transition BCI devices from the lab to the clinic, decoding must proceed automatically and in real time, which prohibits the use of algorithms that are computationally intensive or require manual tweaking. A common ch... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1162/NECO_a_00731 | Neural Computation |
Field | DocType | Volume |
Kinematics,Spike sorting,Computer science,Computer data storage,Linear model,Waveform,Brain–computer interface,Algorithm,Tweaking,Artificial intelligence,Decoding methods,Machine learning | Journal | 27 |
Issue | ISSN | Citations |
5 | 0899-7667 | 1 |
PageRank | References | Authors |
0.40 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valérie Ventura | 1 | 253 | 36.45 |
| Sonia Todorova | 2 | 1 | 0.73 |