paper:doi-10-1016-j-tics-2006-09-001Towards a true neural stance on consciousness
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
- ≈ 75%
- Can a Machine be Conscious? Towards Universal Criteria for Machine ConsciousnessCosmin Badea Nur Aizaan Anwar2024≈ 75%
- ≈ 75%
- ≈ 75%
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- ≈ 74%
- Elements of Consciousness and Cognition. Biology, Mathematic, Physics and Panpsychism: an Information Topology PerspectivePierre Baudot2018≈ 74%
- On the evolution of phenomenal consciousnessLTCI), Tiziana Zalla (CREA) Jean-Louis Dessalles (INFRES2011≈ 74%
- ≈ 74%
- A Human-centric Framework for Debating the Ethics of AI Consciousness Under UncertaintyHaiqiang Dai, Bin Ling, Ying Nian Wu, Demetri Terzopoulos Zhou Ziheng2025≈ 73%
- Logical Evaluation of Consciousness: For Incorporating Consciousness into Machine ArchitectureR.R. Panda C.N. Padhy2010≈ 73%
- Introduction to Artificial Consciousness: History, Current Trends and Ethical ChallengesA\"ida Elamrani2025≈ 73%
- ≈ 73%
- ≈ 73%
- A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing MachineManuel Blum Lenore Blum2022≈ 73%
- On the Minimal Theory of Consciousness Implicit in Active InferenceAndrew W. Corcoran, Jonathan Robinson, Ryan Smith, Rosalyn J. Moran, Thomas Parr, Karl J. Friston, Anil K. Seth, Jakob Hohwy Christopher J. Whyte2025≈ 73%
- cimcWhitepaperin corpus≈ 73%
- The Machine Consciousness Hypothesisin corpus≈ 72%
- The biogenic approach to cognitionin corpus2005≈ 70%
- ≈ 69%
- ≈ 69%
- ≈ 69%
- ≈ 68%
- ≈ 68%
- Taking AI Welfare Seriouslyin corpus2024≈ 68%
- The World Inside Neural Networksin corpus2026≈ 67%
- ≈ 66%
- Why Learning Requires Feelingin corpus2026≈ 66%
- ≈ 66%
- ≈ 65%
Similar preprints — Semantic Scholar
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- Identifying indicators of consciousness in AI systems
Butlin et al. introduce the theory-derived indicator method for assessing AI systems for consciousness, arguing that derivable computational conditions from four leading neuroscientific theories — rec
- Large Language Models Report Subjective Experience Under Self-Referential Processing
Sustained self-referential processing — induced via a minimal prompt directing models to "focus on focus itself" — reliably elicits structured first-person reports of subjective experience across GPT-
- Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
No current AI system is a strong candidate for phenomenal consciousness, yet there are no obvious technical barriers to building one — this is the central finding of Butlin et al. (2023), a systematic
- Brains and where else? Mapping theories of consciousness to unconventional embodiments
Rouleau and Levin's 2026 analysis in *Philosophical Transactions of the Royal Society A* (384, issue 2320) demonstrates that the functional and operational principles underlying most contemporary theo