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Vernon J. Lawhern
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EEGNet: a compact convolutional neural network for EEG-based brain--computer interfaces
VJ Lawhern, AJ Solon, NR Waytowich, SM Gordon, CP Hung, BJ Lance
Journal of neural engineering 15 (5), 2018
13412018
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces
G Warnell, N Waytowich, V Lawhern, P Stone
Thirty-Second AAAI Conference on Artificial Intelligence, 1545-1553, 2018
1752018
Detection and classification of subject-generated artifacts in EEG signals using autoregressive models
V Lawhern, WD Hairston, K McDowell, M Westerfield, K Robbins
Journal of neuroscience methods 208 (2), 181-189, 2012
1492012
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials
NR Waytowich, VJ Lawhern, JO Garcia, J Cummings, J Faller, P Sajda, ...
Journal of neural engineering 15 (6), 2018
1152018
Population decoding of motor cortical activity using a generalized linear model with hidden states
V Lawhern, W Wu, N Hatsopoulos, L Paninski
Journal of neuroscience methods 189 (2), 267-280, 2010
942010
Driver drowsiness estimation from EEG signals using online weighted adaptation regularization for regression (OwARR)
D Wu, VJ Lawhern, S Gordon, BJ Lance, CT Lin
IEEE Transactions on Fuzzy Systems 25 (6), 1522-1535, 2016
872016
Detecting alpha spindle events in EEG time series using adaptive autoregressive models
V Lawhern, S Kerick, KA Robbins
BMC neuroscience 14 (1), 1-16, 2013
682013
Spectral transfer learning using information geometry for a user-independent brain-computer interface
NR Waytowich, VJ Lawhern, AW Bohannon, KR Ball, BJ Lance
Frontiers in neuroscience 10, 430, 2016
672016
DETECT: A MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals
V Lawhern, WD Hairston, K Robbins
PloS one 8 (4), e62944, 2013
612013
Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials
D Wu, B Lance, V Lawhern
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
592014
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization
D Wu, V Lawhern, D Hairston, B Lance
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016
562016
Improved neural signal classification in a rapid serial visual presentation task using active learning
A Marathe, V Lawhern, D Wu, D Slayback, B Lance
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (3 …, 2015
532015
EEG-based user reaction time estimation using Riemannian geometry features
D Wu, BJ Lance, VJ Lawhern, S Gordon, TP Jung, CT Lin
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017
422017
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments.
VG Goecks, GM Gremillion, VJ Lawhern, J Valasek, NR Waytowich
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
402020
Single-trial EEG RSVP classification using convolutional neural networks
J Shamwell, H Lee, H Kwon, AR Marathe, V Lawhern, W Nothwang
Micro-and Nanotechnology Sensors, Systems, and Applications VIII 9836, 373-382, 2016
382016
The effect of target and non-target similarity on neural classification performance: a boost from confidence
AR Marathe, AJ Ries, VJ Lawhern, BJ Lance, J Touryan, K McDowell, ...
Frontiers in neuroscience 9, 270, 2015
362015
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time
VG Goecks, GM Gremillion, VJ Lawhern, J Valasek, NR Waytowich
Thirty-Third AAAI Conference on Artificial Intelligence 33 (1), 2462-2470, 2019
332019
Reducing offline BCI calibration effort using weighted adaptation regularization with source domain selection
D Wu, VJ Lawhern, BJ Lance
2015 IEEE International Conference on Systems, Man, and Cybernetics, 3209-3216, 2015
332015
Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression
D Wu, VJ Lawhern, S Gordon, BJ Lance, CT Lin
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
322016
Spike rate and spike timing contributions to coding taste quality information in rat periphery
V Lawhern, AA Nikonov, W Wu, RJ Contreras
Frontiers in Integrative Neuroscience 5, 18, 2011
302011
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Articles 1–20