Effect of different feedback modalities in the performance of brain-computer interfaces. - Irma Nayeli Angulo-Sherman; David Gutiérrez (CONIELECOMP, 2014)

A Link between the Increase in Electroencephalographic Coherence and Performance Improvement in Operating a Brain-Computer Interface. - Irma Nayeli Angulo-Sherman; David Gutiérrez (Comput. Intell. Neurosci., 2015)

Effect on the classification of motor imagery in EEG after applying anodal tDCS with a 4×1 ring montage over the motor cortex. - Irma Nayeli Angulo-Sherman; Marisol Rodriguez-Ugarte; Eduardo Iáñez; Mario Ortíz 001; José Maria Azorín (ICORR, 2017)

Classification of Gait Motor Imagery While Standing Based on Electroencephalographic Bandpower. - Irma Nayeli Angulo-Sherman; Marisol Rodriguez-Ugarte; Eduardo Iáñez; José Maria Azorín (IWINAC (2), 2017)

Preliminary Evidence of EEG Connectivity Changes during Self-Objectification of Workers. - Irma Nayeli Angulo-Sherman; Annel Saavedra-Hernández; Natalia E. Urbina-Arias; Zahamara Hernández-Granados; Mario Sainz (Sensors, 2022)

Editorial: Recent applications of noninvasive physiological signals and artificial intelligence. - Irma Nayeli Angulo-Sherman; Eduardo Iáñez; Andrés Úbeda (Frontiers Neuroinformatics, 2025)