Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity.
- DOI
- 10.3389/fnins.2018.00353
- Published
- 2018
- Container
- Frontiers in neuroscience
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.3389/fnins.2018.00353,
title = {Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity.},
author = {Mohanty R and Sinha AM and Remsik AB and Dodd KC and Young BM and Jacobson T and McMillan M and Thoma J and Advani H and Nair VA and Kang TJ and Caldera K and Edwards DF and Williams JC and Prabhakaran V},
year = {2018},
journal = {Frontiers in neuroscience},
doi = {10.3389/fnins.2018.00353},
url = {https://doi.org/10.3389/fnins.2018.00353}
}RIS
TY - JOUR TI - Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity. AU - Mohanty R AU - Sinha AM AU - Remsik AB AU - Dodd KC AU - Young BM AU - Jacobson T AU - McMillan M AU - Thoma J AU - Advani H AU - Nair VA AU - Kang TJ AU - Caldera K AU - Edwards DF AU - Williams JC AU - Prabhakaran V PY - 2018 JO - Frontiers in neuroscience DO - 10.3389/fnins.2018.00353 UR - https://doi.org/10.3389/fnins.2018.00353 ER -
APA
R, M., AM, S., AB, R., KC, D., BM, Y., T, J., M, M., J, T., H, A., VA, N., TJ, K., K, C., DF, E., JC, W., & V, P. (2018). Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2018.00353
Source records
- pubmed · retrieved 2026-09-27T14:34:31.305Z
- europe-pmc · retrieved 2026-09-27T14:34:31.327Z
- doaj · retrieved 2026-09-27T14:34:31.310Z