Making brain–machine interfaces robust to future neural variability
oleh: David Sussillo, Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2016-12-01 |
Deskripsi
Brain-machine interfaces (BMI) depend on algorithms to decode neural signals, but these decoders cope poorly with signal variability. Here, authors report a BMI decoder which circumvents these problems by using a large and perturbed training dataset to improve performance with variable neural signals.