A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity
Abstract The effective decoding of movement from non-invasive electroencephalography (EEG) is essential for informing several therapeutic interventions, from neurorehabilitation robots to neural prosthetics. Deep neural networks are most suitable for decoding real-time data but their use in EEG is h...
Na minha lista:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2022-01-01
|
| coleção: | Scientific Reports |
| Acesso em linha: | https://doi.org/10.1038/s41598-022-05079-0 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|