Nicholas R. Waytowich, Ph.D.

Affiliations: 
Columbia University/Army Research Lab 
Area:
BCI
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Publications

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Lapborisuth P, Faller J, Koss J, et al. (2019) Investigating Evoked EEG Responses to Targets Presented in Virtual Reality. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 5536-5539
Waytowich NR, Lawhern V, Garcia JO, et al. (2018) Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. Journal of Neural Engineering
Lawhern V, Solon A, Waytowich N, et al. (2018) EEGNet: a compact convolutional neural network for EEG-based brain--computer interfaces. Journal of Neural Engineering
Waytowich NR, Lawhern VJ, Bohannon AW, et al. (2016) Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface. Frontiers in Neuroscience. 10: 430
Waytowich NR, Yamani Y, Krusienski DJ. (2016) Optimization of Checkerboard Spatial Frequencies for Steady-State Visual Evoked Potential Brain-Computer Interfaces. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Wang H, Zhang Y, Waytowich N, et al. (2016) Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-based BCI. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Waytowich NR, Krusienski DJ. (2016) Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli Ieee Transactions On Human-Machine Systems
Saproo S, Faller J, Shih V, et al. (2016) Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction Computer. 49: 60-68
Waytowich NR, Krusienski DJ. (2015) Spatial decoupling of targets and flashing stimuli for visual brain-computer interfaces. Journal of Neural Engineering. 12: 036006
Johnson G, Waytowich N, Krusienski DJ. (2011) The challenges of using scalp-EEG input signals for continuous device control Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6780: 525-527
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