Dontopedia

Coupling Change

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Coupling Change has 5 facts recorded in Dontopedia across 2 references.

5 facts·5 predicates·2 sources

Mostly:rdf:type(1), represented as(1), is proportional to(1)

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Other facts (5)

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5 facts
PredicateValueRef
Rdf:typeDelta Value[1]
Represented AsΔcoupling_g[1]
Is Proportional toNegative Readout Error[1]
Calculated atFirst Order[1]
CausesTransition Between Attractors[2]

Timeline

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typeblah/watt-activation/189
ex:DeltaValue
representedAsblah/watt-activation/189
Δcoupling_g
isProportionalToblah/watt-activation/189
ex:negative-readout-error
calculatedAtblah/watt-activation/189
ex:first-order
causesblah/watt-activation/443
ex:transition-between-attractors

References (2)

2 references
  1. [1]1894 facts
    ctx:discord/blah/watt-activation/189
    • full textwatt-activation-189
      text/plain2 KBdoc:agent/watt-activation-189/ee6e7700-8f8f-458c-bd97-cd00204ffe29
      Show excerpt
      [2026-03-10 03:42] xenonfun: ``` What the fix looks like: Coupling κ_g is a scalar per group. Its gradient through the sync step is tractable: at first order, Δcoupling_g ∝ -(∂loss/∂spectra_synced) · (mean_spec_g - spectra_g) — the reado
  2. [2]4431 fact
    ctx:discord/blah/watt-activation/443
    • full textwatt-activation-443
      text/plain2 KBdoc:agent/watt-activation-443/9aa84fec-41d2-40a0-a688-c1b81ba3cfd2
      Show excerpt
      [2026-03-20 16:23] omega [bot]: - Phase locking and de-synchronization patterns can represent symbolic states. 5. **Prior Work & Analogies** - Hopfield networks and other attractor neural networks have been shown to simulate finite st

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