Foundations of Energy
How energy is stored, transferred and transformed — from falling objects to living cells.
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Explore the knowledge graph
Legend
- Focused concept
- Connected concept
- Arrow points from cause / source to effect / target
- A line with no arrow is a two-way relationship
- Node colour marks the concept’s primary discipline
14 concepts15 relationships15 disciplines5 relation families
Signal-to-noise ratio
Open concept →At a glance
The ratio of wanted signal power to background noise power, usually in decibels.
- Disciplines
- Signal Processing · Information Theory · Telecommunications Engineering
- Role in the graph
- Cross-disciplinary bridge — reaches Acoustics, Audio Engineering, Communication Science, Electrical Engineering, Human-Computer Interaction, Neuroscience, Physics, Statistics
- Relationships
- 5 · 4 relation families
- Mental models
- 1
Insights from this view
Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.
- This view connects 15 disciplines: Acoustics, Audio Engineering, Biology, Communication Science, Computer Science, Electrical Engineering, Human-Computer Interaction, Information Theory, Mathematics, Neuroscience, Physics, Physiology, Signal Processing, Statistics, Telecommunications Engineering.
- Signal-to-noise ratio is a bridge concept — viewed here through Information Theory, Signal Processing, Telecommunications Engineering.
- The connections here span 5 relation families.
- Information explains 4 concepts in this view (Biology, Communication Science, Computer Science, Electrical Engineering, Human-Computer Interaction, Information Theory, Neuroscience, Physiology, Statistics, Telecommunications Engineering).
Relationships as a list
The focused concept’s relationships. Pick another concept in the graph above to update this list.
Explore through a different lens
A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.
By thinking pattern
Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves
Concept collections
Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.
Understanding Systems
Stocks, flows and feedback — why wholes behave in ways their parts do not.
Patterns Everywhere
Regularities that recur across maths, music, nature and art.
How Information Moves
Encoding, signals and noise — the same idea in computers, genes and nerves.
About this view
What this is
Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.
One fabric
3750 concepts and 5051 typed relations form one connected component — no isolated silo.
How to read it
Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.