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An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory

Lucía Melloni, Liad Mudrik, Michael Pitts, Katarina Bendtz, Oscar Ferrante, Urszula Górska, Rony Hirschhorn, Aya Khalaf, Csaba Kozma, Alex Lepauvre, Ling Liu, David Mazumder, David Richter, Hao Zhou, Hal Blumenfeld, Melanie Boly, David J. Chalmers, Sasha Devore, Francis T. Fallon, Floris P. de Lange, Ole Jensen, Gabriel Kreiman, Huan Luo, Theofanis I. Panagiotaropoulos, Stanislas Dehaene, Christof Koch, Giulio Tononi

2023PLoS ONE103 citationsDOIOpen Access PDF

Abstract

The relationship between conscious experience and brain activity has intrigued scientists and philosophers for centuries. In the last decades, several theories have suggested different accounts for these relationships. These theories have developed in parallel, with little to no cross-talk among them. To advance research on consciousness, we established an adversarial collaboration between proponents of two of the major theories in the field, Global Neuronal Workspace and Integrated Information Theory. Together, we devised and preregistered two experiments that test contrasting predictions of these theories concerning the location and timing of correlates of visual consciousness, which have been endorsed by the theories' proponents. Predicted outcomes should either support, refute, or challenge these theories. Six theory-impartial laboratories will follow the study protocol specified here, using three complementary methods: Functional Magnetic Resonance Imaging (fMRI), Magneto-Electroencephalography (M-EEG), and intracranial electroencephalography (iEEG). The study protocol will include built-in replications, both between labs and within datasets. Through this ambitious undertaking, we hope to provide decisive evidence in favor or against the two theories and clarify the footprints of conscious visual perception in the human brain, while also providing an innovative model of large-scale, collaborative, and open science practice.

Topics & Concepts

ConsciousnessAdversarial systemPerceptionFunctional magnetic resonance imagingWorkspaceCognitive scienceProtocol (science)Computer scienceCognitive psychologyElectroencephalographyPsychologyData scienceBrain activity and meditationArtificial intelligenceNeuroscienceMedicineAlternative medicinePathologyRobotNeural dynamics and brain functionFunctional Brain Connectivity StudiesEEG and Brain-Computer Interfaces
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