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Jose L. Contreras-Vidal

Affiliations: 
University of Maryland, College Park, College Park, MD 
Area:
Motor control
Website:
http://www.hhp.umd.edu/KNES/faculty/jcontrerasvidal/index.html
Google:
"Jose Contreras-Vidal"
Mean distance: 13.83 (cluster 29)
 
SNBCP
Cross-listing: Kinesiology Tree

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Publications

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Bhagat NA, Yozbatiran N, Sullivan JL, et al. (2020) Neural activity modulations and motor recovery following brain-exoskeleton interface mediated stroke rehabilitation. Neuroimage. Clinical. 28: 102502
Paek AY, Kilicarslan A, Korenko B, et al. (2020) Towards a Portable Magnetoencephalography Based Brain Computer Interface with Optically-Pumped Magnetometers. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 3420-3423
Nakagome S, Luu TP, He Y, et al. (2020) An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding. Scientific Reports. 10: 4372
Craik A, Kilicarslan A, Contreras-Vidal JL. (2019) Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 3046-3049
Kilicarslan A, Contreras-Vidal JL. (2019) Towards a Unified Framework for De-noising Neural Signals. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 620-623
Kilicarslan A, Contreras-Vidal JL. (2019) Characterization and real-time removal of motion artifacts from EEG signals. Journal of Neural Engineering
Goel R, Nakagome S, Rao N, et al. (2019) Fronto-parietal Brain Areas Contribute to the Online Control of Posture during a Continuous Balance Task. Neuroscience
Craik A, He Y, Contreras-Vidal JLP. (2019) Deep learning for Electroencephalogram (EEG) classification tasks: A review. Journal of Neural Engineering
Brantley JA, Luu TP, Nakagome S, et al. (2018) Full body mobile brain-body imaging data during unconstrained locomotion on stairs, ramps, and level ground. Scientific Data. 5: 180133
Goel R, Ozdemir RA, Nakagome S, et al. (2018) Effects of speed and direction of perturbation on electroencephalographic and balance responses. Experimental Brain Research
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