Nicholas R. Waytowich

Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials

Nicholas R. Waytowich, Vernon J. Lawhern, Javier O. Garcia et al. · Journal of Neural Engineering · 2018 · 246 citations · Full text

Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI

Haiqiang Wang, Yu Zhang, Nicholas R. Waytowich et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2016 · 135 citations

Engineering, Machine Learning, Biometrics +19

Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface

Nicholas R. Waytowich, Vernon J. Lawhern, Addison Bohannon et al. · Frontiers in Neuroscience · 2016 · 76 citations · Full text

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments

Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern et al. · 2020 · 42 citations · Full text

Artificial Intelligence, Behavioral Sciences, Engineering +15

Optimization of Checkerboard Spatial Frequencies for Steady-State Visual Evoked Potential Brain–Computer Interfaces

Nicholas R. Waytowich, Yusuke Yamani, Dean J. Krusienski · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2016 · 41 citations

Checkerboard Spatial Frequencies, Attention, Electroencephalography +24