A robust real-time pitch detector based on neural networks. - Horacio Martinez-Alfaro; José L. Contreras-Vidal (ICASSP, 1991)

An Adaptive Resonance Theory Architecture for the Automatic Recognition of on-line Handwritten Symbols of a Mathematical Editor. - Yannis A. Dimitriadis; Juan López Coronado; José Luis Contreras-Vidal (IWANN, 1991)

A neural model of basal ganglia-thalamocortical relations in normal and parkinsonian movement. - José Luis Contreras-Vidal; George E. Stelmach (Biol. Cybern., 1995)

Neural dynamics of short and medium-term motor control effects of levodopa therapy in Parkinson's disease. - José L. Contreras-Vidal; Patricia Poluha; Hans-Leo Teulings; George E. Stelmach (Artif. Intell. Medicine, 1998)

A Predictive Reinforcement Model of Dopamine Neurons for Learning Approach Behavior. - José L. Contreras-Vidal; Wolfram Schultz (J. Comput. Neurosci., 1999)

Neural dynamics of hand pre-shaping during prehension. - José Luis Contreras-Vidal; Antonio Ulloa; Juan López Coronado; J. Calabozo-Moran (SMC, 2001)

Independent component analysis of dynamic brain responses during visuomotor adaptation. - José L. Contreras-Vidal; Scott E. Kerick (NeuroImage, 2004)

The role of the striatum in adaptation learning: a computational model. - Moritz Grosse-Wentrup; José L. Contreras-Vidal (Biol. Cybern., 2007)

A new generation of non-invasive biomarkers of cognitive-motor states with application to smart brain-computer interfaces. - Rodolphe J. Gentili; Trent J. Bradberry; Bradley D. Hatfield; José Luis Contreras-Vidal (EUSIPCO, 2008)

Simulated neural dynamics of decision-making in an auditory delayed match-to-sample task. - Shihua Wen; Antonio Ulloa; Fatima T. Husain; Barry Horwitz; José L. Contreras-Vidal (Biol. Cybern., 2008)

Compact and low-cost tendon vibrator for inducing proprioceptive illusions. - Ozkan Celik; Marcia Kilchenman O'Malley; R. Brent Gillespie; Patricia A. Shewokis; José Luis Contreras-Vidal (WHC, 2009)

Functionally biarticular control for smart prosthetics. - R. Brent Gillespie; John Baker; Marcia Kilchenman O'Malley; Patricia A. Shewokis; José Luis Contreras-Vidal (WHC, 2009)

Brain Processes and Neurofeedback for Performance Enhancement of Precision Motor Behavior. - Bradley D. Hatfield; Amy J. Haufler; José L. Contreras-Vidal (HCI (16), 2009)

A model for altered neural network dynamics related to prehension movements in Parkinson disease. - Javier Molina-Vilaplana; José Luis Contreras-Vidal; M. T. Herrero-Ezquerro; Juan López Coronado (Biol. Cybern., 2009)

Decoding center-out hand velocity from MEG signals during visuomotor adaptation. - Trent J. Bradberry; Feng Rong; José L. Contreras-Vidal (NeuroImage, 2009)

Reconstructing hand kinematics during reach to grasp movements from electroencephalographic signals. - Harshavardhan A. Agashe; José Luis Contreras-Vidal (EMBC, 2011)

Design principles for noninvasive brain-machine interfaces. - José L. Contreras-Vidal; Trent J. Bradberry (EMBC, 2011)

Cortical network modeling for inverse kinematic computation of an anthropomorphic finger. - Rodolphe J. Gentili; Hyuk Oh; Javier Molina; José L. Contreras-Vidal (EMBC, 2011)

Learning of spatial relationships between observed and imitated actions allows invariant inverse computation in the frontal mirror neuron system. - Hyuk Oh; Rodolphe J. Gentili; James A. Reggia; José L. Contreras-Vidal (EMBC, 2011)

Towards a non-invasive brain-machine interface system to restore gait function in humans. - Alessandro Presacco; Larry Forrester; José L. Contreras-Vidal (EMBC, 2011)

Independent component analysis of resting brain activity reveals transient modulation of local cortical processing by transcranial direct current stimulation. - Anusha Venkatakrishnan; José L. Contreras-Vidal; Marco Sandrini; Leonardo G. Cohen (EMBC, 2011)

Cortex inspired model for inverse kinematics computation for a humanoid robotic finger. - Rodolphe J. Gentili; Hyuk Oh; Javier Molina; James A. Reggia; José Luis Contreras-Vidal (EMBC, 2012)

Modeling of visuospatial perspectives processing and modulation of the fronto-parietal network activity during action imitation. - Hyuk Oh; Rodolphe J. Gentili; James A. Reggia; José Luis Contreras-Vidal (EMBC, 2012)

Decoding the evolving grasping gesture from electroencephalographic (EEG) activity. - Harshavardhan A. Agashe; José L. Contreras-Vidal (EMBC, 2013)

Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reduction. - Thomas C. Bulea; Saurabh Prasad; Atilla Kilicarslan; José L. Contreras-Vidal (EMBC, 2013)

Novel compliant actuator for wearable robotics applications. - M. Claros; Rogelio Soto; José de Jesús Rodríguez-Ortiz; C. Cantu; José L. Contreras-Vidal (EMBC, 2013)

NeuroRex: A clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeleton. - José Luis Contreras-Vidal; Robert G. Grossman (EMBC, 2013)

High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton. - Atilla Kilicarslan; Saurabh Prasad; Robert G. Grossman; José L. Contreras-Vidal (EMBC, 2013)

Reconstructing surface EMG from scalp EEG during myoelectric control of a closed looped prosthetic device. - Andrew Y. Paek; Jeremy D. Brown; R. Brent Gillespie; Marcia K. O'Malley; Patricia A. Shewokis; José L. Contreras-Vidal (EMBC, 2013)

Understanding the role of haptic feedback in a teleoperated/prosthetic grasp and lift task. - Jeremy D. Brown; Andrew Y. Paek; Mashaal Syed; Marcia Kilchenman O'Malley; Patricia A. Shewokis; José Luis Contreras-Vidal; Alicia J. Davis; R. Brent Gillespie (World Haptics, 2013)

Vibrotactile feedback of pose error enhances myoelectric control of a prosthetic hand. - Ryan Christiansen; José Luis Contreras-Vidal; R. Brent Gillespie; Patricia A. Shewokis; Marcia Kilchenman O'Malley (World Haptics, 2013)

Observation-based training for neuroprosthetic control of grasping by amputees. - Harshavardhan A. Agashe; José L. Contreras-Vidal (EMBC, 2014)

Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke. - Nikunj A. Bhagat; James A. French; Anusha Venkatakrishnan; Nuray Yozbatiran; Gerard E. Francisco; Marcia K. O'Malley; José Luis Contreras-Vidal (EMBC, 2014)

An integrated neuro-robotic interface for stroke rehabilitation using the NASA X1 powered lower limb exoskeleton. - Yongtian He; Kevin Nathan; Anusha Venkatakrishnan; Roger Rovekamp; Christopher Beck; Recep Ozdemir; Gerard E. Francisco; José L. Contreras-Vidal (EMBC, 2014)

Decoding of intentional actions from scalp electroencephalography (EEG) in freely-behaving infants. - Zachery R. Hernandez; Jesus Cruz-Garza; Teresa Tse; José L. Contreras-Vidal (EMBC, 2014)

Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems. - José L. Contreras-Vidal (SMC, 2014)

Classification of finger vibrotactile input using scalp EEG. - Yongtian He; José L. Contreras-Vidal (EMBC, 2015)

Predicting hand forces from scalp electroencephalography during isometric force production and object grasping. - Andrew Y. Paek; Alycia Gailey; Pranav Parikh; Marco Santello; José Luis Contreras-Vidal (EMBC, 2015)

Human-Centered Design of Wearable Neuroprostheses and Exoskeletons. - José Luis Contreras-Vidal; Atilla Kilicarslan; He (Helen) Huang; Robert G. Grossman (AI Mag., 2015)

Real-Time Strap Pressure Sensor System for Powered Exoskeletons. - Jesús Tamez-Duque; Rebeca Cobian-Ugalde; Atilla Kilicarslan; Anusha Venkatakrishnan; Rogelio Soto; José Luis Contreras-Vidal (Sensors, 2015)

Noninvasive EEG correlates of overground and stair walking. - Justin A. Brantley; Trieu Phat Luu; Recep Ozdemir; Fangshi Zhu; Anna T. Winslow; He Huang 002; José L. Contreras-Vidal (EMBC, 2016)

Unscented Kalman filter for neural decoding of human treadmill walking from non-invasive electroencephalography. - Trieu Phat Luu; Yongtian He; Sho Nakagome; Jeffrey Gorges; Kevin Nathan; José L. Contreras-Vidal (EMBC, 2016)

Corticomuscular coherence variation throughout the gait cycle during overground walking and ramp ascent: A preliminary investigation. - Anna T. Winslow; Justin A. Brantley; Fangshi Zhu; José L. Contreras-Vidal; He Huang 002 (EMBC, 2016)

Towards a whole body brain-machine interface system for decoding expressive movement intent Challenges and Opportunities. - José L. Contreras-Vidal; Jesus Cruz-Garza; Anastasiya Kopteva (BCI, 2017)

Electrocortical amplitude modulations of human level-ground, slope, and stair walking. - Trieu Phat Luu; Justin A. Brantley; Fangshi Zhu; José Luis Contreras-Vidal (EMBC, 2017)

Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial. - Jennifer 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)

Prediction of lower-limb joint kinematics from surface EMG during overground locomotion. - Justin A. Brantley; Trieu Phat Luu; Sho Nakagame; José L. Contreras-Vidal (SMC, 2017)

Cortical features of locomotion-mode transitions via non-invasive EEG. - Trieu Phat Luu; Justin A. Brantley; Fangshi Zhu; José L. Contreras-Vidal (SMC, 2017)

EEG-based brain-computer interface to a virtual walking avatar engages cortical adaptation. - Trieu Phat Luu; Yongtian He; Sho Nakagome; José L. Contreras-Vidal (SMC, 2017)

Prediction of EMG envelopes of multiple terrains over-ground walking from EEG signals using an unscented Kalman filter. - Sho Nakagome; Trieu Phat Luu; Justin A. Brantley; José L. Contreras-Vidal (SMC, 2017)

Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children. - Akshay Sujatha Ravindran; Jesus G. Cruz-Garza; Anastasiya Kopteva; Andrew Y. Paek; Aryan Mobiny; Zachary Hernandez; José Luis Contreras-Vidal (IEEE DataPort, 2018)

Dataset: Modulation of Neural Activity during Guided Viewing of Visual Art. - Jesús Tamez-Duque; Mayra De-Alba; Guillermo Herrera-Arcos; Fernanda Zapata-Murrieta; José L. Contreras-Vidal; Rogelio Soto (IEEE DataPort, 2018)

Your Brain on Art: A New Paradigm to Study Artistic Creativity Based on the 'Exquisite Corpse' Using Mobile Brain-Body Imaging. - Jesus G. Cruz-Garza; Girija Chatufale; Dario Robleto; José L. Contreras-Vidal (Brain Art, 2019)

Self-conscience/Physical Memory: An Immersive, Kinetic Art Installation Driven by Real-Time and Archival EEG Signals. - Eric Todd; Jesus G. Cruz-Garza; Austin Moreau; James Templeton; José Luis Contreras-Vidal (Brain Art, 2019)

Real-Time Seizure State Tracking Using Two Channels: A Mixed-Filter Approach. - Mohammad Badri Ahmadi; Alexander Craik; Hamid Fekri Azgomi; Joseph T. Francis; José Luis Contreras-Vidal; Rose T. Faghih (ACSSC, 2019)

Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks. - Alexander Craik; Atilla Kilicarslan; José Luis Contreras-Vidal (EMBC, 2019)

Towards a Unified Framework for De-noising Neural Signals. - Atilla Kilicarslan; José Luis Contreras-Vidal (EMBC, 2019)

Assessment of motor imagery in gamma band using a lower limb exoskeleton. - Mario Ortíz 001; Eduardo Iáñez; Jorge Antonio Gaxiola-Tirado; Atilla Kilicarslan; José Luis Contreras-Vidal; José Maria Azorín (SMC, 2019)

A Translational Roadmap for a Brain-Machine-Interface (BMI) System for Rehabilitation. - Alexander Craik; Atilla Kilicarslan; José L. Contreras-Vidal (SMC, 2019)

Design of a customizable, modular pediatric exoskeleton for rehabilitation and mobility. - David Eguren; Manuel Cestari; Trieu Phat Luu; Atilla Kilicarslan; Alexander G. Steele; José Luis Contreras-Vidal (SMC, 2019)

EEG-based Neural Decoding of Gait in Developing Children. - Trieu Phat Luu; David Eguren; Manuel Cestari; José L. Contreras-Vidal (SMC, 2019)

Mobile EEG Recordings in an Art Museum Setting. - Jesus G. Cruz-Garza; Justin A. Brantley; Sho Nakagome; Kimberly Kontson; Dario Robleto; José L. Contreras-Vidal (IEEE DataPort, 2019)

Towards a Portable Magnetoencephalography Based Brain Computer Interface with Optically-Pumped Magnetometers. - Andrew Y. Paek; Atilla Kilicarslan; Branislav Korenko; Vladislav Gerginov; Svenja Knappe; José Luis Contreras-Vidal (EMBC, 2020)

Interpretable Deep Learning Models for Single Trial Prediction of Balance Loss. - Akshay Sujatha Ravindran; Manuel Cestari; Christopher Malaya; Isaac John; Gerard E. Francisco; Charles Layne; José Luis Contreras-Vidal (SMC, 2020)

Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study. - Mario Ortíz 001; Eduardo Iáñez; José L. Contreras-Vidal; José Maria Azorín (Frontiers Neurorobotics, 2020)

Design Principles for Mobile Brain-Body Imaging Devices with Optimized Ergonomics. - Niell Gorman; Antoinette Louw; Alexander Craik; Jose Gonzalez; Jeff Feng; José Luis Contreras-Vidal (AHFE (17), 2021)

Navigating the FDA Medical Device Regulatory Pathways for Pediatric Lower Limb Exoskeleton Devices. - David Eguren; José Luis Contreras-Vidal (IEEE Syst. J., 2021)

Concerns in the Blurred Divisions Between Medical and Consumer Neurotechnology. - Andrew Y. Paek; Justin A. Brantley; Barbara J. Evans; José Luis Contreras-Vidal (IEEE Syst. J., 2021)

Editorial: Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-Being) Applications. - Anton Nijholt; José Luis Contreras-Vidal; Camille Jeunet; Aleksander Väljamäe (Frontiers Comput. Sci., 2022)

Mobile EEG recordings of musical (jazz) improvisation. - Mauricio Adolfo Ramírez-Moreno; Jesus G. Cruz-Garza; José L. Contreras-Vidal (IEEE DataPort, 2022)

Transfer Learning with CNN Models for Brain-Machine Interfaces to command lower-limb exoskeletons: A Solution for Limited Data. - Laura Ferrero; Vicente Quiles; Paula Soriano-Segura; Mario Ortiz 001; Eduardo Iáñez; José Luis Contreras-Vidal; José Maria Azorín (EMBC, 2023)

Brain-eNet: Towards an Enabling Technology for BCI-IoT Systems. - Juan José González-España; Lianne Sánchez Rodríguez; Alexander Craik; Sarah Wong; Jeff Feng; José Luis Contreras-Vidal (SMC, 2023)

Optimization of Electrode Configuration for the Removal of Eye Artifacts with Adaptive Noise Cancellation. - Juan José González-España; Alexander Craik; Carolina Ramirez; Ayman Alamir; José Luis Contreras-Vidal (SMC, 2023)

Decoding Taste from EEG: Gustatory Evoked Potentials During Wine Tasting. - Juan José González-España; Ki-Joon Back; Dennis Reynolds; José Luis Contreras-Vidal (SMC, 2023)

Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer Interface. - Alexander Craik; Juan José González-España; Ayman Alamir; David Edquilang; Sarah Wong; Lianne Sánchez Rodríguez; Jeff Feng; Gerard E. Francisco; José L. Contreras-Vidal (Sensors, 2023)

The dataset for the Electrospinography (ESG) for non-invasively recording spinal sensorimotor networks in humans project. - Alexander G. Steele; Amir Faraji; José L. Contreras-Vidal (IEEE DataPort, 2023)

A State-Space Control Approach for Tracking Isometric Grip Force During BMI Enabled Neuromuscular Stimulation. - Nikunj A. Bhagat; Gerard E. Francisco; José Luis Contreras-Vidal (IEEE Trans. Hum. Mach. Syst., 2023)

On using AI for EEG-based BCI applications: problems, current challenges and future trends. - Thomas Barbera; Jacopo Burger; Alessandro D'Amelio; Simone Zini; Simone Bianco 001; Raffaella Lanzarotti; Paolo Napoletano; Giuseppe Boccignone; José Luis Contreras-Vidal (CoRR, 2025)