Integrated Information Theory of Consciousness in Conventional Computing
Exploring how computer programs influence cause-effect structures in integrated information theory, challenging assumptions about consciousness in simulated systems.
Free Energy Minimisation for Perception as Inference
Explores predictive processing theory and free energy principle in perception, comparing Helmholtz machine and message passing approaches to neural inference and consciousness.
Learning to Predict Requires Integrated Information
Exploring how Integrated Information Theory quantifies consciousness in neural networks and its relationship with embodied intelligence and predictive learning in AI agents.
Informational Models of the Phenomenon of Consciousness and the Mechanistic Project
Exploring informational models of consciousness, their methodological contributions, and limitations in guiding mechanistic research. Critiques panpsychist interpretations and discusses quantitative recharacterizations.
A Categorical Formulation of Predictive Processing and Active Inference
Categorical formulation of Predictive Processing and Active Inference using string diagrams, clarifying key concepts and enabling comparison with Integrated Information Theory.
Insights from the Conscious Turing Machine - A Machine Model for Consciousness
Explores puzzling phenomena of consciousness using the Conscious Turing Machine model, including pain's impact on sleep, experiences vs. simulations, illusions, dreams, and free will.
Information Structures and Consciousness
Exploring brain dynamics through evolving informational structures, linking to consciousness theories and providing insights into disorders of consciousness with high-precision classification.
Insights from the Conscious Turing Machine - A Machine Model for Consciousness
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.
Consciousness Meets AI for a New Paradigm
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.
Does Consciousness Emerge?
Explore the concept of emergence in consciousness theories, examining its meanings, applications, and implications for understanding the nature of consciousness.
On the Degrees of Freedom Worth Having - Psychedelics and Free Will
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.
Geometry of World Model Influences Behaviors - Exact Results for Curiosity-Based Exploration
Explores how the geometry of internal world models affects behavior, focusing on the Projective Consciousness Model and its implications for understanding consciousness and designing social robots.
The Creativity Code - AI - Friend or Foe?
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.
Consciousness - Coherence of Modalities
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.
A Theoretical Computer Science Approach to Consciousness and AGI
Explore a theoretical computer science approach to consciousness and AGI through the Conscious Turing Machine model, offering insights into processor utilization and problem-solving.
Consciousness as a Coordination Mechanism
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.
Consciousness as a Coherence-Inducing Operator
Exploring consciousness as an operator that induces coherence in biological information processing, examining its properties, function, and potential for computational simulation.
Consciousness Is What It Is Like to Be an Online Compositional Learning System
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.
What Do Theories of Consciousness Predict About the Onset of Infant Consciousness?
Explores predictions of major consciousness theories on infant consciousness onset, examining higher-order, global workspace, integrated information, and recurrent processing theories.
How to Model Consciousness Processes in Categorical Process Theory
Explore modeling consciousness using ZXW calculus, a graphical language for quantum computing, to understand interactions between perceiving and perceived divisions in cognitive processes.
Thresholds, Noise and Response Bias - Insights from Blindsight
Explores perceptual decision-making, thresholds, and blindsight, challenging assumptions about visual awareness and highlighting the role of response criteria in conscious behavior.