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Spiking Neural Network for Augmenting Electroencephalographic Data for Brain Computer Interfaces
With the advent of advanced machine learning methods, the performance of brain–computer interfaces (BCIs) has improved unprecedentedly. However, electroencephalography (EEG), a commonly used brain imaging method for BCI, is characterized by a tedious experimental setup, frequent data loss due to art...
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| Publicado no: | Front Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8047134/ https://ncbi.nlm.nih.gov/pubmed/33867928 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2021.651762 |
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