Global Workspace Theory
Global workspace theory is a cognitive architecture and theory of consciousness developed by Bernard Baars in the 1980s and subsequently formalized and extended by Stanislas Dehaene, Jean-Pierre Changeux, and Lionel Naccache. The theory proposes that consciousness arises from a global broadcast mechanism: information from multiple specialized, unconscious processors becomes conscious when it is broadcast to a global workspace, making it available to the entire cognitive system.
The central metaphor is that of a theater. The 'stage' of the workspace is illuminated by a 'spotlight' of attention; information on the stage is globally broadcast to a 'audience' of unconscious processors. The processors are specialists — they handle specific domains (face recognition, language parsing, motor planning) but they do not have direct access to each other. Communication between processors occurs only through the global workspace. This architecture explains both the limited capacity of consciousness (only a small amount of information can be on the stage at once) and the integration of information across domains (the global broadcast makes information available to all processors simultaneously).
Empirical support for the theory comes from studies of the fronto-parietal network, which shows increased activity and long-range connectivity during conscious perception, effortful cognitive tasks, and error detection. Conversely, loss of consciousness (sleep, anesthesia, coma) is associated with disruption of fronto-parietal connectivity and reduction of long-range information sharing. The theory has been formalized in computational models using the 'global neuronal workspace' architecture, in which neurons with long-range axons (workspace neurons) broadcast information to distant cortical areas.
The global workspace theory offers a functional account of consciousness: consciousness is what information does when it is globally available. It does not, by itself, explain the phenomenal character of experience — why globally available information feels like something. This limitation has led to the distinction between 'access consciousness' (informational availability) and 'phenomenal consciousness' (subjective experience), with the global workspace theory primarily addressing the former.
The theory has been applied to explain the binding problem: binding occurs when distributed feature information gains access to the global workspace, enabling the integration of features into a unified conscious percept. The theory has also been applied to AI, where it suggests that artificial consciousness would require not merely intelligent processing but a global broadcast architecture that makes information available to multiple specialized subsystems.