Human brain-teleoperated robot between remote places. - Carlos Escolano; Javier Mauricio Antelis; Javier Minguez (ICRA, 2009)

Synchronous EEG brain-actuated wheelchair with automated navigation. - Iñaki Iturrate; Javier Mauricio Antelis; Javier Minguez (ICRA, 2009)

A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation. - Iñaki Iturrate; Javier Mauricio Antelis; Andrea Kübler; Javier Minguez (IEEE Trans. Robotics, 2009)

Detection of movements with attention or distraction to the motor task during robot-assisted passive movements of the upper limb. - Javier Mauricio Antelis; Luis Montesano; Xavier Giralt; Alicia Casals; Javier Minguez (EMBC, 2012)

Continuous decoding of intention to move from contralesional hemisphere brain oscillations in severely affected chronic stroke patients. - Javier Mauricio Antelis; Luis Montesano; Ander Ramos-Murguialday; Niels Birbaumer; Javier Minguez (EMBC, 2012)

Continuous decoding of motor attempt and motor imagery from EEG activity in spinal cord injury patients. - Eduardo Lopez-Larraz; Javier Mauricio Antelis; Luis Montesano; Ángel Gil-Agudo; Javier Minguez (EMBC, 2012)

A Telepresence Mobile Robot Controlled With a Noninvasive Brain-Computer Interface. - Carlos Escolano; Javier Mauricio Antelis; Javier Minguez (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing. - Leonardo Ojeda; Roberto Vega; Luis Eduardo Falcón; Gildardo Sánchez-Ante; Humberto Sossa; Javier Mauricio Antelis (MCPR, 2015)

Classification of Motor States from Brain Rhythms Using Lattice Neural Networks. - Berenice Gudiño-Mendoza; Humberto Sossa; Gildardo Sánchez-Ante; Javier Mauricio Antelis (MCPR, 2016)

Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals. - Berenice Gudiño-Mendoza; Gildardo Sánchez-Ante; Javier Mauricio Antelis (Comput. Math. Methods Medicine, 2016)

Self-organizing Maps for Motor Tasks Recognition from Electrical Brain Signals. - Alvaro D. Orjuela-Cañón; Osvaldo Renteria-Meza; Luis G. Hernández; Andrés Felipe Ruiz Olaya; Alexander Cerquera; Javier Mauricio Antelis (CIARP, 2017)

Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. - Roberto Vega; Touqir Sajed; Kory Wallace Mathewson; Kriti Khare; Patrick M. Pilarski; Russell Greiner; Gildardo Sánchez-Ante; Javier Mauricio Antelis (Artif. Intell. Res., 2017)

Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients. - Javier Mauricio Antelis; Luis Montesano; Ander Ramos-Murguialday; Niels Birbaumer; Javier Minguez (IEEE Trans. Biomed. Eng., 2017)

Discrimination Between Normal Driving and Braking Intention from Driver's Brain Signals. - Efraín Martínez; Luis Guillermo Hernández; Javier Mauricio Antelis (IWBBIO (1), 2018)

A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals. - Luis G. Hernández; Javier Mauricio Antelis (MCPR, 2018)

Artificial Neural Networks and Common Spatial Patterns for the Recognition of Motor Information from EEG Signals. - Carlos Daniel Virgilio-González; Juan Humberto Sossa Azuela; Javier Mauricio Antelis (MICAI (1), 2018)

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. - Fernando Arce; Erik Zamora 001; Gerardo Hernández; Javier Mauricio Antelis; Humberto Sossa (MLDM (2), 2018)

Dendrite morphological neural networks for motor task recognition from electroencephalographic signals. - Javier Mauricio Antelis; Berenice Gudiño-Mendoza; Luis Eduardo Falcón; Gildardo Sánchez-Ante; Humberto Sossa (Biomed. Signal Process. Control., 2018)

EEG-Based Detection of Braking Intention Under Different Car Driving Conditions. - Luis G. Hernández; Óscar Martínez Mozos; José M. Ferrández; Javier Mauricio Antelis (Frontiers Neuroinformatics, 2018)

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification. - Fernando Arce; Omar Mendoza-Montoya; Erik Zamora 001; Javier Mauricio Antelis; Humberto Sossa; Jessica Cantillo-Negrete; Rubén Isaac Cariño-Escobar; Luis G. Hernández; Luis Eduardo Falcón (MCPR, 2019)

Motor Imagery Task Classification in EEG Signals with Spiking Neural Network. - Carlos Daniel Virgilio-González; Humberto Sossa; Javier Mauricio Antelis; Luis Eduardo Falcón (MCPR, 2019)

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals. - Gerardo Hernández; Luis G. Hernández; Erik Zamora 001; Humberto Sossa; Javier Mauricio Antelis; Omar Mendoza-Montoya; Luis Eduardo Falcón (MCPR, 2019)

Self-paced movement intention recognition from EEG signals during upper limb robot-assisted rehabilitation. - Luis G. Hernández; Javier Mauricio Antelis (NER, 2019)

Decoding Steady-State Visual Evoked Potentials From EEG Signals: Towards an EEG-Triggered FES System to Restore Hand Grasp Function. - Andrés Felipe Ruiz Olaya; Javier Mauricio Antelis; Alexander Cerquera (UEMCON, 2019)

Enabling real-time multi-messenger astrophysics discoveries with deep learning. - Eliu A. Huerta; Gabrielle Allen; Igor Andreoni; Javier Mauricio Antelis; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; et al. (CoRR, 2019)

Anticipatory Detection of Self-Paced Rehabilitative Movements in the Same Upper Limb From EEG Signals. - Luis Guillermo Hernández-Rojas; Omar Mendoza-Montoya; Javier Mauricio Antelis (IEEE Access, 2020)

Spiking Neural Networks applied to the classification of motor tasks in EEG signals. - Carlos Daniel Virgilio-González; Juan Humberto Sossa Azuela; Javier Mauricio Antelis; Luis Eduardo Falcón (Neural Networks, 2020)

Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions. - Juan David Chailloux Peguero; Omar Mendoza-Montoya; Javier Mauricio Antelis (Sensors, 2020)

Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach. - Manuel D. Morales; Javier Mauricio Antelis; Claudia Moreno; Alexander I. Nesterov (Sensors, 2021)

Functional Connectivity and Frequency Power Alterations during P300 Task as a Result of Amyotrophic Lateral Sclerosis. - Claudia X. Perez-Ortiz; José Luis Gordillo; Omar Mendoza-Montoya; Javier Mauricio Antelis; Ricardo Caraza; Hector R. Martinez (Sensors, 2021)

Detection of Pain Caused by a Thermal Stimulus Using EEG and Machine Learning. - Rogelio Sotero Reyes-Galaviz; Omar Mendoza-Montoya; Javier Mauricio Antelis (MCPR, 2022)

Brain-Computer Interface Controlled Functional Electrical Stimulation: Evaluation With Healthy Subjects and Spinal Cord Injury Patients. - Luis Guillermo Hernández-Rojas; Jessica Cantillo-Negrete; Omar Mendoza-Montoya; Rubén Isaac Cariño-Escobar; Ismael Leyva-Martinez; Ana Valeria Aguirre Guemez; Aida Barrera-Ortiz; Paul Carrillo-Mora; Javier Mauricio Antelis (IEEE Access, 2022)

A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant's Differentiators. - Mayumi Hori Uribe; Carlos Renato Vázquez; Javier Mauricio Antelis (IEEE Access, 2022)

Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface. - Nayid Triana Guzmán; Alvaro D. Orjuela-Cañón; Andrés L. Jutinico; Omar Mendoza-Montoya; Javier Mauricio Antelis (Frontiers Neuroinformatics, 2022)

Evaluación de métodos de aprendizaje supervisado para la clasificación de palabras utilizando señales de electroencefalografía. - Denise Alonso-Vázquez; Tonatiuh Hernández-Del-Toro; Hector R. Martinez; Carlos A. Reyes García; Javier Mauricio Antelis (Res. Comput. Sci., 2023)

Detector de ondas gravitacionales fenomenológicas de supernovas basado en aprendizaje supervisado. - César Eduardo Tiznado Alonso; Claudia Moreno; Manuel D. Morales; Javier Mauricio Antelis (Res. Comput. Sci., 2023)

Clasificación de ondas gravitacionales de supernovas usando redes neuronales convolucionales. - Aldo A. Álvarez; Javier Mauricio Antelis; Claudia Moreno (Res. Comput. Sci., 2023)

Comparación de algoritmos de clasificación en el reconocimiento en ondas gravitacionales del tipo lenta, moderada y rápida. - Miguel A. Avendaño-Bernal; César Eduardo Tiznado Alonso; Javier Mauricio Antelis; Claudia Moreno (Res. Comput. Sci., 2023)

Reconocimiento de movimientos finos de la mano basado en señales de electromiografía usando algoritmos de aprendizaje automático supervisados. - José Miguel Figarola; Yelile Iga Valdés; Victor González; Javier Mauricio Antelis; Omar Mendoza-Montoya (Res. Comput. Sci., 2023)

Análisis y clasificación de señales electroencefalográficas para el control de una órtesis robótica de mano con una interfaz cerebro computador basada en el paradigma de imaginación motora. - Diego Sánchez González; Johann Barragán; Omar Mendoza-Montoya; Javier Mauricio Antelis (Res. Comput. Sci., 2023)

Navegación libre y activa de un robot móvil controlado con BCI basada en SSVEP. - Luis Fernando Román-Padilla; Luis Humberto S. Vaca; Juan David Chailloux Peguero; Omar Mendoza-Montoya; Javier Mauricio Antelis (Res. Comput. Sci., 2023)

EEG-Based Classification of Spoken Words Using Machine Learning Approaches. - Denise Alonso-Vázquez; Omar Mendoza-Montoya; Ricardo Caraza; Hector R. Martinez; Javier Mauricio Antelis (Comput., 2023)

AR-assisted navigation of a mobile robot controlled by an SSVEP-based BCI. - Luis Humberto S. Vaca; Luis Fernando Román-Padilla; Omar Mendoza-Montoya; Javier Mauricio Antelis (CBMS, 2024)

Enhancing User Authentication Through EEG Based P300 Speller Response. - Adnan Elahi Khan Khalil; Jesús Arturo Pérez Díaz; Jose Antonio Cantoral-Ceballos; Javier Mauricio Antelis (MICAI (2), 2024)

Early Detection via EEG Signals of Self-Initiated Reaching and Grasping Movements Performed With the Subject's Selected Upper Extremity. - Jorge A. Sanchez-Bautista; Javier Mauricio Antelis; Omar Mendoza-Montoya (IEEE Access, 2025)

From pronounced to imagined: improving speech decoding with multi-condition EEG data. - Denise Alonso-Vázquez; Omar Mendoza-Montoya; Ricardo Caraza; Hector R. Martinez; Javier Mauricio Antelis (Frontiers Neuroinformatics, 2025)