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Universal concept dissection

Find an existing concept first. If it does not exist, generate a structured page that can collect papers, discussions, open questions, and graph links.

Concept	Domain	Explorers	Open
Quantum Error Correction Layered concept explanation pending live version data.	Technology	4,820	Open

Semantic memory / cathedral-knowledge	Kind	Score
Consciousness Consciousness is like the brain's spotlight that lets you notice, think about, and feel what’s happening right now. It’s what makes you aware that you are you, and that you can experience the world. Consciousness refers to the qualitative, subjective aspects of mental life—what it feels like to see a color, hear a sound, or have a thought. It is typically divided into (1) phenomenal consciousness (raw experience, or ‘what it is like’), (2) access consciousness (information that is globally available for reasoning, reporting, and guiding behavior), and (3) self‑consciousness (awareness of oneself as an agent). Empirical approaches seek neural correlates of consciousness (NCC) by linking patterns of brain activity (e.g., fronto‑parietal networks, thalamocortical loops) to reports of awareness, while philosophical analyses examine the explanatory gap between physical processes and subjective experience. Contemporary theories of consciousness converge on three broad families: (i) Global Workspace Theory (Baars, Dehaene) posits that conscious content is broadcast across a distributed network, enabling flexible access; (ii) Integrated Information Theory (Tononi, 2004) quantifies consciousness as Φ, the amount of irreducible information generated by a system’s causal architecture; (iii) Higher‑Order Thought (Rosenthal, 2005) and Higher‑Order Perception models argue that a mental state becomes conscious when it is the target of a higher‑order representation. Empirical work leverages intracranial electrophysiology, fMRI, and perturbational approaches (e.g., TMS‑EEG) to map NCCs, while computational modeling explores how recurrent dynamics and attractor states may instantiate the global workspace. Open debates revolve around the hard problem (why subjective experience arises), the possibility of pan‑psychic or pan‑experiential extensions, and the criteria for attributing consciousness to non‑human animals or artificial systems. Open questions: What precise neural mechanisms generate the phenomenological ‘what it is like’ aspect of experience? \| Can a quantitative measure like Integrated Information (Φ) be empirically validated across species and artificial substrates? \| How do different levels of consciousness (e.g., dreaming, anesthesia, minimally conscious state) map onto distinct dynamical regimes in the brain? \| What are the necessary and sufficient conditions for a system to possess self‑consciousness? \| How might future AI architectures be designed to support higher‑order representations without merely simulating behavior? Timeline: 1848 William James publishes 'The Principles of Psychology' \| 1956 Neural correlates of consciousness concept formulated \| 1995 Global Workspace Theory formalized \| 2004 Integrated Information Theory (IIT) introduced \| 2016 Neural decoding of conscious content via fMRI and MVPA

Full-text / cathedral_concepts	Kind	Rank
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