Development of a Hybrid Brain-Computer Interface for Autonomous Systems. - Omar Mendoza-Montoya (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)

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)

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)

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

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)

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)

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)

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)