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

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

doi:10.1371/journal.pone.0268577

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

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Melloni, Lucia
Research Group Neural Circuits, Consciousness, and Cognition, Max Planck Institute for Empirical Aesthetics, Max Planck Society;
Department of Neurology, New York University Grossman School of Medicine, New York;

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Lepauvre, Alex
Research Group Neural Circuits, Consciousness, and Cognition, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

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Citation

Melloni, L., Mudrik, L., Pitts, M., Bendtz, K., Ferrante, O., Gorska, U., et al. (2023). An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory. PLoS One, 18(2): e0268577. doi:10.1371/journal.pone.0268577.

Cite as: https://hdl.handle.net/21.11116/0000-000C-958D-D

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