Name
Title | ||
|---|---|---|
Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network. |
Abstract | ||
|---|---|---|
Although many real-time neural decoding algorithms have been proposed for brain-machine interface (BMI) applications over the years, an optimal, consensual approach remains elusive. Recent advances in deep learning algorithms provide new opportunities for improving the design of BMI decoders, including the use of recurrent artificial neural networks to decode neuronal ensemble activity in real tim... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1162/neco_a_01189 | Neural Computation |
Field | DocType | Volume |
Long short term memory,Neural decoding,Artificial intelligence,Decoding methods,Machine learning,Mathematics | Journal | 31 |
Issue | ISSN | Citations |
6 | 0899-7667 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Po-He Tseng | 1 | 0 | 0.34 |
| Núria Armengol Urpi | 2 | 0 | 0.34 |
| Mikhail A. Lebedev | 3 | 30 | 5.07 |
| Miguel A. L. Nicolelis | 4 | 150 | 34.62 |