150 citations · 333 across the 11 of their papers we have counts for
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Are advanced methods necessary to improve infant fNIRS data analysis? An assessment of baseline-corrected averaging, general linear model (GLM) and multivariate pattern analysis (MVPA) based approaches
Maria Laura Filippetti, Javier Andreu-Perez, Carina de Klerk +2
In the last decade, fNIRS has provided a non-invasive method to investigate neural activation in developmental populations. Despite its increasing use in developmental cognitive ne…
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification
Abbas Salami, Javier Andreu-Perez, Helge Gillmeister
In recent years, neural networks and especially deep architectures have received substantial attention for EEG signal analysis in the field of brain-computer interfaces (BCIs). In…
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction
Christian Flores Vega, Jonathan Quevedo, Elmer Escandón +3
The processing and classification of electroencephalographic signals (EEG) are increasingly performed using deep learning frameworks, such as convolutional neural networks (CNNs),…