From the Hard Problem to the Cogitate results — key moments in understanding awareness
Bernard Baars publishes "A Cognitive Theory of Consciousness," introducing Global Workspace Theory with its famous theater metaphor. Consciousness is like a stage where content is illuminated by the spotlight of attention and broadcast to an audience of unconscious processors.
David Chalmers publishes "Facing Up to the Problem of Consciousness," introducing the distinction between "easy problems" (explaining cognitive functions) and the "hard problem" (explaining why physical processes give rise to subjective experience). This framing becomes central to the field.
At ASSC, Christof Koch bets David Chalmers a case of wine that within 25 years, researchers will identify a "clear" neural signature of consciousness. Koch (working with Crick) is optimistic; Chalmers is skeptical that correlates alone will explain consciousness.
Stanislas Dehaene and Jean-Pierre Changeux publish their neural model of Global Workspace Theory, identifying workspace neurons as excitatory cells with long-range connections that can "selectively mobilize or suppress" specialized processors.
Giulio Tononi publishes the first version of Integrated Information Theory, proposing that consciousness corresponds to integrated information (Φ) — the amount of information a system generates above what its parts generate independently. Takes a "consciousness-first" approach.
Adrian Owen's team uses fMRI to detect awareness in a patient diagnosed as vegetative. When asked to imagine playing tennis or navigating her home, the patient showed the same brain activation patterns as healthy volunteers. Revolutionizes disorders of consciousness.
Marcello Massimini introduces the Perturbational Complexity Index — "zap and zip" — which measures brain complexity after TMS stimulation. PCI > 0.31 reliably distinguishes conscious from unconscious states with 94.7% sensitivity.
The Templeton World Charity Foundation commits $20+ million to adversarial collaborations testing consciousness theories. Cogitate (IIT vs GNWT) is the flagship project, with theory proponents collaborating with neutral researchers on preregistered predictions.
At ASSC in New York, Christof Koch concedes to David Chalmers — no clear neural signature of consciousness has been identified. Koch presents Chalmers with a case of fine wine and immediately doubles down with a new bet: 2048. "I hope I lose, but I suspect I'll win," says Chalmers.
An open letter signed by 124 scholars labels IIT "pseudoscience," citing untestable core claims and controversial panpsychist implications. The letter proves divisive — only 8% of surveyed researchers fully agree. Defenders call it "attempted scientific excommunication."
The Cogitate Consortium publishes in Nature. Testing 256 participants across fMRI, MEG, and iEEG, the study finds challenges for both theories: no sustained gamma for IIT, no offset ignition for GNWT, prefrontal can't decode orientation. The result is a "draw" — both theories need revision.
At resolution, Koch will be 91 and Chalmers 82.
INTREPID tests IIT vs predictive processing. Other collaborations test first-order vs higher-order theories. The field is committed to rigorous theory testing.
Extending human findings to animal models. Can we detect consciousness in non-human species using the same neural signatures?
As AI capabilities advance, pressure grows to develop criteria for machine consciousness. Which theory provides the right framework?
Making consciousness detection tools like PCI more accessible. Developing standards for consciousness assessment in clinical settings.