finding
active
finding:greater-multiscale-scale-integration-distinguishes-wakeful-conscious-states-from-anaesthetic-statesGreater multiscale scale-integration distinguishes wakeful conscious states from anaesthetic states.
Empirical evidence (Milinkovic et al., 2025b) supporting scale-inseparability as consciousness correlate.
Neighborhood — ranked by edge-count
Thinkers (1)
thinker
- Milinkovic et al. (2025b)authoredPrior work by lead author on multiscale integration and consciousness; provides empirical foundation for scale-inseparability claim.
Communities (2)
community
- All minds are composites of parts; individual and collective intelligence unified under substrate-neutral principles.
- Examines consciousness through multiscale integration across systems and agents rather than localized neural mechanisms, challenging anthropocentric assumptions about sentience.
Concepts (1)
concept
- Scale InseparabilitysupportsCentral tenet: biological computation is fundamentally non-modular; molecular, cellular, and population scales bidirectionally co-determine each other without privileged level.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Links anesthesia mechanism to the bioelectric binding model of higher-level Selves.
- Asserts middle-range entity emergence as a necessary output of any living process
- Third guideline for deriving indicators; justifies PP-1 and AE-1/AE-2
- Gradualism implies that if brains are conscious, so are other tissues with similar mechanisms.
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.752Central methodological claim of the paper.
- CIMC's current operational definition, precise enough to generate predictions while subject to revision