
Exploring how computer programs influence cause-effect structures in integrated information theory, challenging assumptions about consciousness in simulated systems.

Exploring how Integrated Information Theory quantifies consciousness in neural networks and its relationship with embodied intelligence and predictive learning in AI agents.

Exploring informational models of consciousness, their methodological contributions, and limitations in guiding mechanistic research. Critiques panpsychist interpretations and discusses quantitative recharacterizations.

Categorical formulation of Predictive Processing and Active Inference using string diagrams, clarifying key concepts and enabling comparison with Integrated Information Theory.

Exploring brain dynamics through evolving informational structures, linking to consciousness theories and providing insights into disorders of consciousness with high-precision classification.

Explore a substrate-independent model of consciousness inspired by Turing's computation model and Baars' Global Workspace theory, offering insights into conscious experiences across animals and machines.

Exploring connections between consciousness and AI, combining theories like Global Workspace Theory with deep learning to develop a new paradigm for general-purpose intelligence and brain-to-brain communication.

Explore the intersection of psychedelics, free will, and consciousness. Discover how serotonergic pathways may influence volitional capacities and adaptive flexibility in human cognition and behavior.

Explore the intersection of AI, creativity, and consciousness with Oxford professor Marcus du Sautoy. Delve into the potential of machines to think, create, and impact our future in this thought-provoking talk.

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

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 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 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.

Explores three mathematical approaches to consciousness: quantum consciousness, IIT, and large-scale dynamic systems simulation. Analyzes strengths, weaknesses, and alignments to promote high-level dialogue on the hard problem.

Exploring quantum mechanics' challenge to local agency and objectivity through experimental metaphysics, with implications for understanding consciousness and the nature of observers.

Explores the connection between brain energy efficiency, creativity, and consciousness, proposing quantum processes in neural operations as key to human cognitive abilities.

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.