
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.

Exploring superpositions of conscious states through IIT and quantum mechanics, addressing Wigner's thought experiment and its implications for understanding consciousness.

Explore a theoretical computer science approach to consciousness and AGI through the Conscious Turing Machine model, offering insights into processor utilization and problem-solving.

Explore the quantum nature of consciousness, its connection to brainwaves and Schumann Resonances, and how quantum information theory can illuminate neuroscience and human experience.

Exploring the hypothesis that consciousness arises from brain signal coordination, drawing parallels between neural traffic and road networks to understand global optimization patterns in brain activity.

Exploring consciousness as an operator that induces coherence in biological information processing, examining its properties, function, and potential for computational simulation.

Explores a hypothesis linking consciousness to online compositional learning, proposing a functional model that combines feature-binding with predictive processing to explain key aspects of conscious experience.

Explores predictions of major consciousness theories on infant consciousness onset, examining higher-order, global workspace, integrated information, and recurrent processing theories.

Explores the ambiguity of computer thoughts, arguing that multiple interpretations of computations exist simultaneously, contrasting with the unambiguous nature of human cognition.

Explore modeling consciousness using ZXW calculus, a graphical language for quantum computing, to understand interactions between perceiving and perceived divisions in cognitive processes.

Explores how natural languages and their inner domain of meaning create subject-object differentiation, forming the basis of consciousness through sound-meaning relations grounded in number.

Explores perceptual decision-making, thresholds, and blindsight, challenging assumptions about visual awareness and highlighting the role of response criteria in conscious behavior.

Explores the emerging structural approach in consciousness studies, discussing its implications, potential pitfalls, and promise for advancing the field using mathematical and structural tools.

Philosophical exploration of the Fitness-beats-truth theorem, examining veridicality, mathematical representation, and potential self-refutation in the context of perceptual and cognitive models.

Explores the distinction between simulating and instantiating consciousness, using the free energy principle to analyze the difference between weak and strong artificial consciousness.

Explores how consciousness may be fundamental, challenging traditional views of reality and perception through scientific findings and proposing a new framework for understanding the physical world.

Exploring mathematical approaches to phenomenology within a process framework, bridging subjective experiences and objective analysis for a comprehensive understanding of consciousness.

Explores how cognitive capabilities, subjective experience, and macroscopic perception lead to geometric worldviews in organisms, using qualia-based measurement spaces and topological concepts.

Explores quantum instrument models in cognitive science, explaining non-Bayesian belief updates in the "question order effect" while maintaining response replicability, challenging previous quantum approaches.

Exploring model templates as a tool for analyzing consciousness theories, focusing on the free energy principle and its application across disciplines.

Exploring a physical hypothesis for free will and consciousness based on quantum processes in the brain, distinguishing human cognition from AI through perception of parallel worlds.