José L. Contreras-Vidal - researchr alias

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Viewing Publication 1 - 36 from 36

2023

Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer InterfaceAlexander Craik, Juan José González-España, Ayman Alamir, David Edquilang, Sarah Wong, Lianne Sánchez Rodríguez, Jeff Feng, Gerard E. Francisco, José L. Contreras-Vidal. sensors, 23(13):5930, July 2023. [doi]

2020

Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case StudyMario Ortíz 0001, Eduardo Iáñez, José L. Contreras-Vidal, José Maria Azorín. finr, 14:48, 2020. [doi]

2019

2017

Prediction of lower-limb joint kinematics from surface EMG during overground locomotionJustin A. Brantley, Trieu Phat Luu, Sho Nakagame, José L. Contreras-Vidal. SMC 2017: 1705-1709 [doi]

Towards a whole body brain-machine interface system for decoding expressive movement intent Challenges and OpportunitiesJosé L. Contreras-Vidal, Jesus Cruz-Garcia, Anastasiya Kopteva. bci3 2017: 1-4 [doi]

Cortical features of locomotion-mode transitions via non-invasive EEGTrieu Phat Luu, Justin A. Brantley, Fangshi Zhu, José L. Contreras-Vidal. SMC 2017: 2437-2441 [doi]

EEG-based brain-computer interface to a virtual walking avatar engages cortical adaptationTrieu Phat Luu, Yongtian He, Sho Nakagome, José L. Contreras-Vidal. SMC 2017: 3054-3057 [doi]

Prediction of EMG envelopes of multiple terrains over-ground walking from EEG signals using an unscented Kalman filterSho Nakagome, Trieu Phat Luu, Justin A. Brantley, José L. Contreras-Vidal. SMC 2017: 3175-3178 [doi]

Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trialJennifer L. Sullivan, Nikunj A. Bhagat, Nuray Yozbatiran, Ruta Paranjape, Colin G. Losey, Robert G. Grossman, José L. Contreras-Vidal, Gerard E. Francisco, Marcia K. O'Malley. icorr 2017: 122-127 [doi]

2016

2015

Classification of finger vibrotactile input using scalp EEGYongtian He, José L. Contreras-Vidal. embc 2015: 4717-4720 [doi]

2014

2013

Decoding the evolving grasping gesture from electroencephalographic (EEG) activityHarshavardhan A. Agashe, José L. Contreras-Vidal. embc 2013: 5590-5593 [doi]

Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reductionThomas C. Bulea, Saurabh Prasad, Atilla Kilicarslan, José L. Contreras-Vidal. embc 2013: 6341-6344 [doi]

Novel compliant actuator for wearable robotics applicationsM. Claros, Rogelio Soto, J. J. Rodriguez, C. Cantu, José L. Contreras-Vidal. embc 2013: 2854-2857 [doi]

High accuracy decoding of user intentions using EEG to control a lower-body exoskeletonAtilla Kilicarslan, Saurabh Prasad, Robert G. Grossman, José L. Contreras-Vidal. embc 2013: 5606-5609 [doi]

Reconstructing surface EMG from scalp EEG during myoelectric control of a closed looped prosthetic deviceAndrew Y. Paek, Jeremy D. Brown, R. Brent Gillespie, Marcia K. O'Malley, Patricia A. Shewokis, José L. Contreras-Vidal. embc 2013: 5602-5605 [doi]

2011

Design principles for noninvasive brain-machine interfacesJosé L. Contreras-Vidal, Trent J. Bradberry. embc 2011: 4223-4226 [doi]

Cortical network modeling for inverse kinematic computation of an anthropomorphic fingerRodolphe J. Gentili, Hyuk Oh, Javier Molina, José L. Contreras-Vidal. embc 2011: 8251-8254 [doi]

Learning of spatial relationships between observed and imitated actions allows invariant inverse computation in the frontal mirror neuron systemHyuk Oh, Rodolphe J. Gentili, James A. Reggia, José L. Contreras-Vidal. embc 2011: 4183-4186 [doi]

Towards a non-invasive brain-machine interface system to restore gait function in humansAlessandro Presacco, Larry Forrester, José L. Contreras-Vidal. embc 2011: 4588-4591 [doi]

Independent component analysis of resting brain activity reveals transient modulation of local cortical processing by transcranial direct current stimulationAnusha Venkatakrishnan, José L. Contreras-Vidal, Marco Sandrini, Leonardo G. Cohen. embc 2011: 8102-8105 [doi]

2009

Decoding center-out hand velocity from MEG signals during visuomotor adaptationTrent J. Bradberry, Feng Rong, José L. Contreras-Vidal. neuroimage, 47(4):1691-1700, 2009. [doi]

Brain Processes and Neurofeedback for Performance Enhancement of Precision Motor BehaviorB. Hatfield, A. Haufler, José L. Contreras-Vidal. hci 2009: 810-817 [doi]

2008

Simulated neural dynamics of decision-making in an auditory delayed match-to-sample taskShihua Wen, Antonio Ulloa, Fatima Husain, Barry Horwitz, José L. Contreras-Vidal. bc, 99(1):15-27, 2008. [doi]

2007

The role of the striatum in adaptation learning: a computational modelMoritz Grosse-Wentrup, José L. Contreras-Vidal. bc, 96(4):377-388, 2007. [doi]

2004

Independent component analysis of dynamic brain responses during visuomotor adaptationJosé L. Contreras-Vidal, Scott E. Kerick. neuroimage, 21(3):936-945, 2004. [doi]

1999

A Predictive Reinforcement Model of Dopamine Neurons for Learning Approach BehaviorJosé L. Contreras-Vidal, Wolfram Schultz. jcns, 6(3):191-214, 1999.

1998

Neural dynamics of short and medium-term motor control effects of levodopa therapy in Parkinson s diseaseJosé L. Contreras-Vidal, Patricia Poluha, Hans-Leo Teulings, George E. Stelmach. artmed, 13(1-2):57-79, 1998.

1991

A robust real-time pitch detector based on neural networksHoracio Martinez-Alfaro, José L. Contreras-Vidal. icassp 1991: 521-523 [doi]

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1991

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