Suggested further readings

Intro¶

• David J. Chalmers (1995). Facing Up to the Problem of Consciousness.

• Goyal Anirudh and Bengio Yoshua (2022). Inductive biases for deep learning of higher-level cognition. Proc. R. Soc. A.47820210068

• Seth, A. K., & Bayne, T. (2022). Theories of consciousness. Nature Reviews Neuroscience, 23(7), 439–452.

• Patrick Butlin, Robert Long, et al. (2023). Consciousness in Artificial Intelligence: Insights from the Science of Consciousness.

RIM¶

• Anirudh Goyal et al. (2020). Recurrent Independent Mechanisms.

Global Workspace Theory¶

• Volzhenin, K., Changeux, J.-P., & Dumas, G. (2022). Multilevel development of cognitive abilities in an artificial neural network. PNAS Proceedings of the National Academy of Sciences of the United States of America, 119(39), 1–10.

• Anirudh Goyal et al. (2022). Coordination Among Neural Modules Through a Shared Global Workspace.

• Rufin VanRullen, Ryota Kanai (2021). Deep Learning and the Global Workspace Theory.

• Lenore Blum, Manuel Blum (2023). Viewpoint: A Theoretical Computer Science Perspective on Consciousness and Artificial General Intelligence.

Higher-Order Theories¶

• Fleming, S. M. (2020). Awareness as inference in a higher-order state space. Neuroscience of Consciousness, 2020(1).

• Ryota Kanai et al. (2024). Meta-Representations as Representations of Processes.

Additional Theories & Ideas¶

• Pasquali, A., Timmermans, B., & Cleeremans, A. (2010). Know thyself: Metacognitive networks and measures of consciousness. Cognition, 117(2), 182–190.

• Michael Graziano (2017). The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness.

• Andrew I. Wilterson and Michael S. A. Graziano (2021). The attention schema theory in a neural network agent: Controlling visuospatial attention using a descriptive model of attention.

• Dianbo Liu, Samuele Bolotta, He Zhu, Yoshua Bengio, Guillaume Dumas (2023). Attention Schema in Neural Agents.

• Mahta Ramezanian-Panahi et al. (2022). Generative Models of Brain Dynamics.

• Samuele Bolotta, Guillaume Dumas (2022). Social Neuro AI: Social Interaction as the “dark matter” of AI.

• Michael H. Herzog, Leila Drissi-Daoudi, Adrien Doerig (2020). All in Good Time: Long-Lasting Postdictive Effects Reveal Discrete Perception.

• Nadine Dijkstra, Stephen M. Fleming (2023). Subjective signal strength distinguishes reality from imagination.

• Antoine Del Cul, Sylvain Baillet, Stanislas Dehaene (2007). Brain Dynamics Underlying the Nonlinear Threshold for Access to Consciousness.

• Stanislas Dehaene, Jean-Pierre Changeux (2011). Experimental and theoretical approaches to conscious processing.