Investigating neurophysiological responses to spinal neuromodulation

Using multi-modal (Electroencephalography [EEG], Electromyography [EMG]) to characterize neurophysiological responses of Spinal Cord Injury (SCI) patients to Epidural Spinal Stimulation (ESS). Leveraging Evoked Compound Action Potential (ECAP) for pathway decoding.

	Decoding Overlapping Lower-Limb Afferent Pathways from Human Epidural Spinal Recordings. Steele A, Candela M, Huff G, Howes-Keith A, Martin C, Oh J, Faraji A, & Sayenko D arXiv, 2026 preprint
	Effects of Epidural Spinal Stimulation on Cortical Activity and Motor Output During Power Grip in Cervical Spinal Cord Injury. Candela M, Oh J, Faraji A, & Sayenko D InterfaceNeuro, 2026 abstract / poster

Characterizing cognitive and affective states for closed-loop neuroeducation

Using multi-modal (Electroencephalography [EEG], Photoplethysmogram [PPG], Electrodermal Activity [EDA]) to characterize neurophysiological responses of mental fatigue, emotion, load, and attention; further paired with audiovisual and haptic feedback.

	Are you Afraid? Neurophysiological and Autonomic Responses to Fear in a Semi-Immersive Interactive Environment Candela MO, Calderón-Gurubel JE, Ortiz-Espinoza AA, Elizondo-Garcia J, Vélez-Saboyá CS, Lozoya-Santos JJ, Rodriguez-Sanchez I, Cebral-Loureda M, Ramírez-Moreno MA Frontiers in Systems Neuroscience, 2026 paper / code
	Closed-Loop Haptic Neurofeedback BCI for Real-Time Student Attention Regulation Milton O. Candela-Leal, Luis A. Marrufo-Franco, Baudel H. Ruiz-de-la-Fuente, César F. Cruz-Gómez & Mauricio A. Ramírez-Moreno 48th CNIB, 2026 conference proceeding / code
	Neural signatures of STEM learning and interest in youth Milton O. Candela-Leal, Myriam Alanis-Espinosa, Jorge Murrieta-González, Jorge de-J. Lozoya-Santos, Mauricio A. Ramírez-Moreno Acta Psychologica, 2025 paper / code
	Real-time EEG-based emotion recognition for neurohumanities: perspectives from PCA and tree-based algorithms Miguel A. Blanco-Ríos*, Milton O. Candela-Leal*, Cecilia Orozco-Romo, Paulina Remis-Sernan, Carol S. Vélez-Saboyá, Jorge de-J. Lozoya-Santos, Manuel Cebral-Loureda, Mauricio A. Ramírez-Moreno *joint first authorship Frontiers in Human Neuroscience, 2024 paper / code
	Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study Mauricio A. Ramírez-Moreno, Patricio Carrillo-Tijerina, Milton O. Candela-Leal, Myriam Alanis-Espinosa, Juan C. Tudón-Martínez, Armando Roman-Flores, Ricardo A. Ramírez-Mendoza, Jorge de-J. Lozoya-Santos IJERPH, 2021 paper

Investigating trajectories of fetal cortical maturation

Using attention-gated U-Net to segment (sub)cortical fetal brain structures (CSF, GM, WM, ventricles, cerebellum, deep GM, brainstem) for typical development characterization.

	Typical development of the human fetal subplate: Regional heterogeneity, growth, and asymmetry assessed by in vivo T2-weighted MRI Andrea Gondová, Jennings Zhang, Sungmin You, Seungyoon Jeong, Milton O. Candela-Leal, Caitlin K. Rollins, Patricia E. Grant, Hyuk Jin Yun, Kiho Im PNAS, 2026 paper / code
	Attention-gated Convolutional Neural Network for Automated Segmentation of Fetal Subplate from MRI Andrea Gondova, Milton O. Candela-Leal, Hyuk Jin Yun, Sungmin You, Seungyoon Jeong, Marsol Aguilar, P. Ellen Grant, Kiho Im 31st OHBM, 2025 abstract
	FALCONS: Fetal Automatic Landmark Computation and Optimization for Neuroimaging Segmentation Milton O. Candela-Leal, Andrea Gondova, Sungmin You, P. Ellen Grant, Kiho Im 27th MICCAI, 2024 poster

Modeling human movement with deep learning

Using Recurrent Neural Networks (RNN) to predict kinetics (acceleration, force) using kinematics (position), either through physical and predicted motion capture markers.

	Biomechanics Digital Twin: Markerless Joint Acceleration Prediction Using Machine Learning and Computer Vision Leal MOC, Diaz DM, Romo CO, Herrera AJA, Herrera JEM, Ramirez AEM, Cruz LOS, Gomez CFC, Ruiz SXC, Flores EAG, Hernandez KLR, Jimenez EAD, Mendoza RAR, Espinosa GP, Santos JJL, & Moreno MAR Future of Educational Innovation-Workshop Series Data in Action, 2023 conference proceeding / code
	Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers Milton O. Candela-Leal, Erick Adrián Gutiérrez-Flores, Gerardo Presbítero-Espinosa, Akshay Sujatha-Ravindran, Ricardo A. Ramírez-Mendoza, Jorge de-J. Lozoya-Santos, Mauricio A. Ramírez-Moreno Applied Sciences, 2022 paper / code