Skip to content

Toward a computational theory of conscious processing.

Stanislas Dehaene, Lucie Charles, Jean-Rémi King, Sebastien Marti

Current Opinion in Neurobiology December 29, 2013 DOI: 10.1016/j.conb.2013.12.005 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Review Peer reviewed
Keywords Brain Nerve net Humans Consciousness Models, theoretical
Key findings The authors argue that most brain computations occur non-consciously, while conscious perception is marked by amplification, global propagation, and integration of brain signals. They propose that conscious access is distinct from selective attention, that conscious perception acts as a non-linear decision that 'ignites' distributed networks, and that complexity and integration measures reliably index conscious processing, relevant to coma recovery.

Abstract

The study of the mechanisms of conscious processing has become a productive area of cognitive neuroscience. Here we review some of the recent behavioral and neuroscience data, with the specific goal of constraining present and future theories of the computations underlying conscious processing. Experimental findings imply that most of the brain's computations can be performed in a non-conscious mode, but that conscious perception is characterized by an amplification, global propagation and integration of brain signals. A comparison of these data with major theoretical proposals suggests that firstly, conscious access must be carefully distinguished from selective attention; secondly, conscious perception may be likened to a non-linear decision that 'ignites' a network of distributed areas; thirdly, information which is selected for conscious perception gains access to additional computations, including temporary maintenance, global sharing, and flexible routing; and finally, measures of the complexity, long-distance correlation and integration of brain signals provide reliable indices of conscious processing, clinically relevant to patients recovering from coma.

Citations in the library

Explore topics