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Intro

RIM

Global Workspace Theory

Higher-Order Theories

Additional Theories & Ideas

References
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  2. Seth, A. K., & Bayne, T. (2022). Theories of consciousness. Nature Reviews Neuroscience, 23(7), 439–452. 10.1038/s41583-022-00587-4
  3. Volzhenin, K., Changeux, J.-P., & Dumas, G. (2022). Multilevel development of cognitive abilities in an artificial neural network. Proceedings of the National Academy of Sciences, 119(39). 10.1073/pnas.2201304119
  4. Fleming, S. M. (2020). Awareness as inference in a higher-order state space. Neuroscience of Consciousness, 2020(1). 10.1093/nc/niz020
  5. Pasquali, A., Timmermans, B., & Cleeremans, A. (2010). Know thyself: Metacognitive networks and measures of consciousness. Cognition, 117(2), 182–190. 10.1016/j.cognition.2010.08.010
  6. Wilterson, A. I., & Graziano, M. S. A. (2021). The attention schema theory in a neural network agent: Controlling visuospatial attention using a descriptive model of attention. Proceedings of the National Academy of Sciences, 118(33). 10.1073/pnas.2102421118
  7. Ramezanian-Panahi, M., Abrevaya, G., Gagnon-Audet, J.-C., Voleti, V., Rish, I., & Dumas, G. (2022). Generative Models of Brain Dynamics. Frontiers in Artificial Intelligence, 5. 10.3389/frai.2022.807406
  8. Del Cul, A., Baillet, S., & Dehaene, S. (2007). Brain Dynamics Underlying the Nonlinear Threshold for Access to Consciousness. PLoS Biology, 5(10), e260. 10.1371/journal.pbio.0050260