Name
Abstract | ||
|---|---|---|
Decoding in the context of brain-machine interface is a prediction problem, with the aim of retrieving the most accurate kinematic predictions attainable from the available neural signals. While selecting models that reduce the prediction error is done to various degrees, decoding has not received the attention that the fields of statistics and machine learning have lavished on the prediction prob... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1162/neco_a_01020 | Neural Computation |
Field | DocType | Volume |
Mean squared prediction error,Nonlinear system,Kinematics,Regression,Computer science,Lasso (statistics),Kalman filter,Neural decoding,Artificial intelligence,Decoding methods,Machine learning | Journal | 29 |
Issue | ISSN | Citations |
12 | 0899-7667 | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sonia Todorova | 1 | 1 | 0.73 |
| Valérie Ventura | 2 | 253 | 36.45 |