Roberto Hornero

Semantic-aware decoding of covert inner speech: A multimodal EEG–EMG–audio framework

Non-invasive brain–computer interfaces (BCIs) aim to restore communication by decoding intended messages directly from neural activity, even without audible speech. However, evidence remains limited that non-invasive signals can support subject-held-out decoding of predefined sem...

Robot-assisted brain-computer interface therapy for post-stroke rehabilitation: Preliminary effects on motor, cognitive, and functional outcomes

Stroke is a leading cause of long-term disability, and severe upper-limb paresis often persists despite conventional rehabilitation. Brain–computer interfaces (BCIs) have been proposed to support motor recovery by pairing motor imagery with contingent sensory feedback, although c...