title: A neuronal network model linking subjective reports and objective physiological data during conscious perception.
abstract: The subjective experience of perceiving visual stimuli is accompanied by objective neuronal activity patterns such as sustained activity in primary visual area (V1), amplification of perceptual processing, correlation across distant regions, joint parietal, frontal, and cingulate activation, gamma-band oscillations, and P300 waveform. We describe a neuronal network model that aims at explaining how those physiological parameters may cohere with conscious reports. The model proposes that the step of conscious perception, referred to as access awareness, is related to the entry of processed visual stimuli into a global brain state that links distant areas including the prefrontal cortex through reciprocal connections, and thus makes perceptual information reportable by multiple means. We use the model to simulate a classical psychological paradigm: the attentional blink. In addition to reproducing the main objective and subjective features of this paradigm, the model predicts an unique property of nonlinear transition from nonconscious processing to subjective perception. This all-or-none dynamics of conscious perception was verified behaviorally in human subjects.
authors.affiliation: Institut National de la Santé et de la Recherche Médicale, Unité 562, Cognitive Neuroimaging, Institut Fédératif de Recherche 49, Service Hospitalier Frédéric Joliot, Commissariat à l'Energie Atomique/DSV, 91401 Orsay Cedex, France. dehaene@shfj.cea.fr
authors.forename: Stanislas
authors.initials: S
authors.lastname: Dehaene
authors.forename: Claire
authors.initials: C
authors.lastname: Sergent
authors.forename: Jean-Pierre
authors.initials: JP
authors.lastname: Changeux
mesh_terms: D000328:Adult; D000818:Animals; D001288:Attention / Q000502:physiology; D002540:Cerebral Cortex / Q000502:physiology; D003243:Consciousness / Q000502:physiology*; D000882:Haplorhini; D006801:Humans; D008959:Models, Neurological; D008960:Models, Psychological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology; D014796:Visual Perception / Q000502:physiology*