Neural representation of consciously seen and unseen information.

ABSTRACT: Machine learning (ML) techniques have steadily gained popularity in Neuroscience research, particularly when applied to the analysis of neuroimaging data. One of the most discussed topics in this field, the neural correlates of conscious (and unconscious) information, has also benefited from these approaches. Nevertheless, further research is still necessary to better understand the minimal neural mechanisms that are necessary and sufficient for experiencing any conscious percept, and which mechanisms are comparable and discernible between conscious and unconscious events. The aim of this study was two-fold. First, to explore whether it was possible to decode task-relevant features from electroencephalography (EEG) signals, particularly those related to perceptual awareness. Secondly, to t

SUBMITTER: Rodriguez-San Esteban P 

PROVIDER: S-EPMC11885812 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature