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Exploring consciousness through pre-reflective auto-sensitivity, metacausation, and metadynamism. Proposes a radical view of consciousness as a property of physical processes involving direct causal sensitivity to inner causation.
Explores computing compositional meaning in Integrated Information Theory using category theory and distributional semantics, addressing the role of meaning in conscious experience.
Exploring the intersection of AI, consciousness, and physics, Sir Roger Penrose challenges computational theories of mind and proposes a quantum-based model of consciousness.
Explores 'weak' and 'strong' versions of Integrated Information Theory, discussing its potential to explain consciousness and highlighting key empirical evidence and theoretical challenges.
Exploring epistemic structural realism as a framework for studying consciousness and its neurophysiological bases, emphasizing relations and structural continuity in theoretical models.
Explore statistical mechanics approach to consciousness, examining brain network complexity and information processing optimization in conscious vs. unconscious states.
Exploring physical models for consciousness evolution, addressing challenges in explaining its advantageous features within materialist Darwinian theory and examining alternative possibilities.
Explores quantum mechanics' impact on conscious experience, discussing Wigner's friend and delayed choice quantum eraser experiments. Proposes a 4D constraint-based approach to resolve concerns about determinateness and intersubjective consistency.
Mathematical model for 3D perception from 2D data, exploring geometric spectra and eigenstates. Proposes a framework for understanding consciousness through higher-order universality and information processing.
Explores the connection between brain energy efficiency, creativity, and consciousness, proposing quantum processes in neural operations as key to human cognitive abilities.
Explores a coherence-based theory of consciousness, proposing structured nets and dynamic mappings as key elements. Discusses data structures, neural codes, and links to mathematical concepts.
Explore the fundamental distinction between subjectivity and phenomenal character in consciousness, examining their roles in contemporary debates and theoretical frameworks.
Explore the landscape of consciousness science through big data analysis of 60,000+ papers, revealing research clusters and interdisciplinary connections across psychology, philosophy, and computer science.
Explore how psychological variables emerge through operant behavior and their relationship to fitness consequences, focusing on measurement theory and quantitative structures in behavioral science.
Explore how the Conscious Turing Machine Robot (rCTM) model addresses fundamental questions about consciousness through a theoretical framework and formal machine modeling approach.
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