# Suggested further readings 

## Intro

- David J. Chalmers (1995). [Facing Up to the Problem of Consciousness](https://consc.net/papers/facing.pdf).
- Goyal Anirudh and Bengio Yoshua (2022). [Inductive biases for deep learning of higher-level cognition](http://doi.org/10.1098/rspa.2021.0068). Proc. R. Soc. A.47820210068
- Seth, A. K., & Bayne, T. (2022). **[Theories of consciousness](https://doi.org/10.1038/s41583-022-00587-4).** Nature Reviews Neuroscience, 23(7), 439–452.
- Patrick Butlin, Robert Long, et al. (2023). **[Consciousness in Artificial Intelligence: Insights from the Science of Consciousness](https://arxiv.org/pdf/2308.08708).**

## RIM

- Anirudh Goyal et al. (2020). [Recurrent Independent Mechanisms](https://arxiv.org/pdf/1909.10893).

## Global Workspace Theory

- Volzhenin, K., Changeux, J.-P., & Dumas, G. (2022). [Multilevel development of cognitive abilities in an artificial neural network](https://doi.org/10.1073/pnas.2201304119). 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](https://arxiv.org/pdf/2103.01197).
- Rufin VanRullen, Ryota Kanai (2021). [Deep Learning and the Global Workspace Theory](https://arxiv.org/abs/2012.10390).
- Lenore Blum, Manuel Blum (2023). [Viewpoint: A Theoretical Computer Science Perspective on Consciousness and Artificial General Intelligence](https://arxiv.org/abs/2303.17075).

## Higher-Order Theories

- Fleming, S. M. (2020). [Awareness as inference in a higher-order state space](https://doi.org/10.1093/nc/niz020). Neuroscience of Consciousness, 2020(1).
- Ryota Kanai et al. (2024). [Meta-Representations as Representations of Processes](https://osf.io/zg27u).


## Additional Theories & Ideas

- Pasquali, A., Timmermans, B., & Cleeremans, A. (2010). [Know thyself: Metacognitive networks and measures of consciousness](https://doi.org/10.1016/j.cognition.2010.08.010). Cognition, 117(2), 182–190.
- Michael Graziano (2017). [The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness](https://grazianolab.princeton.edu/sites/g/files/toruqf3411/files/graziano/files/artificial_consc_2017.pdf).
- 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](https://www.pnas.org/doi/full/10.1073/pnas.2102421118).
- Dianbo Liu, Samuele Bolotta, He Zhu, Yoshua Bengio, Guillaume Dumas (2023). [Attention Schema in Neural Agents](https://arxiv.org/abs/2305.17375).
- Mahta Ramezanian-Panahi et al. (2022). [Generative Models of Brain Dynamics](https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2022.807406/full).
- Samuele Bolotta, Guillaume Dumas (2022). [Social Neuro AI: Social Interaction as the "dark matter" of AI](https://arxiv.org/abs/2112.15459).
- Michael H. Herzog, Leila Drissi-Daoudi, Adrien Doerig (2020). [All in Good Time: Long-Lasting Postdictive Effects Reveal Discrete Perception](https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(20)30170-4).
- Nadine Dijkstra, Stephen M. Fleming (2023). [Subjective signal strength distinguishes reality from imagination](https://pubmed.ncbi.nlm.nih.gov/36959279/).
- Antoine Del Cul, Sylvain Baillet, Stanislas Dehaene (2007). [Brain Dynamics Underlying the Nonlinear Threshold for Access to Consciousness](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.0050260).
- Stanislas Dehaene, Jean-Pierre Changeux (2011). [Experimental and theoretical approaches to conscious processing](https://pubmed.ncbi.nlm.nih.gov/21521609/).