Jaime Delgado

This study identifies atypical neural oscillation coupling in young children with ASD that predicts speech reception difficulties.

The paper decodes imagined speech using low- and cross-frequency neural features from electrocorticography data, showing their effectiveness in perceptual speech spaces.

The paper examines how brain functional connectivity changes after emotional and cognitive events, identifying specific co-activation patterns and their temporal dynamics.

This paper introduces a coherence-based spectro-spatial filter to predict stimulus features from electrocorticographic recordings, showing improved performance over traditional methods.