Physiology
A discipline is a lens, not an owner — the same idea can be viewed through many.
Concepts viewed through this lens
These numbers describe the current Thinking OS knowledge slice, not the whole field.
Disciplines it bridges to
Each bridge is built by ideas the two fields share, the thinking patterns that recur across both, and a representative relationship that shows how they connect.
Physiologyconnects toBiology
Shared concepts
Shared thinking patterns
Why this bridge exists
Neuron causes Neural signal — neuron causes Neural signal.
Explore this connection →Physiologyconnects toMedicine
Shared thinking patterns
Why this bridge exists
Sterilization suppresses Pathogen — sterilization reduces a pathogen.
Explore this connection →Physiologyconnects toMicrobiology
Shared thinking patterns
Why this bridge exists
Immune evasion suppresses Immune system — immune evasion evades the immune system.
Explore this connection →Physiologyconnects toChemistry
Shared thinking patterns
Why this bridge exists
Catalysis enables Metabolism — catalysis enables Metabolism.
Explore this connection →Physiologyconnects toImmunology
Shared thinking patterns
Why this bridge exists
Immune evasion suppresses Immune system — immune evasion evades the immune system.
Explore this connection →Physiologyconnects toNeuroscience
Shared concepts
Shared thinking patterns
Why this bridge exists
Neuron causes Neural signal — neuron causes Neural signal.
Explore this connection →Physiologyconnects toPhysics
Shared thinking patterns
Why this bridge exists
Gas exchange is a Diffusion — gas exchange is a kind of Diffusion.
Explore this connection →Physiologyconnects toBiochemistry
Shared concepts
Shared thinking patterns
Why this bridge exists
Catalysis enables Metabolism — catalysis enables Metabolism.
Explore this connection →
Field shape — representation health
58/100 overall · 17 concepts
The eight dimensions measure Thinking OS coverage of this field, not the quality or importance of the discipline.
What kind of structure is this field?
Interpreted from the current atlas — how this field is represented, not a judgement of the field.
Representation health 58/100 — dense but disconnected. Strongest: evidence, cross-disciplinary. Thinnest: factual depth, provenance.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
89% of its relations reach into 59 other disciplines — an outward-facing field in the atlas.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Its 58 representation-health is above the 55 median of 208 similarly-sized disciplines (comparable by concept count).
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Current atlas gaps: no equations stored.
atlas representation · Measures the current Thinking OS representation, not the quality or importance of the field.
41% of its concepts have a single connection (mean internal degree 0.9) — a moderately connected internal structure.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
How this lens connects
The kinds of relationship that characterise this discipline lens in the current slice.
Coverage matrix
How these concepts distribute across domains and concept families — real counts, not a score.
Knowledge timeline
Real, sourced key dates of these concepts.
- 1902Hormone · Discovery · Biology
Ideas that connect this discipline outward
Concepts viewed through this lens that reach disciplines it does not itself carry — concept-level bridges (distinct from the discipline-to-discipline bridges below).
- HomeostasisreachesAnatomyChemistryComputer ScienceControl TheoryEconomicsEngineeringHuman-Computer InteractionMedicineMolecular BiologyNeuroscienceNursingPhysical ChemistryPhysicsSystems BiologySystems Science
- Neural signalreachesAnthropologyCognitive ScienceCommunication ScienceComputer ScienceDiscrete MathematicsElectrical EngineeringHuman-Computer InteractionInformation TheoryLinear AlgebraMachine LearningMathematicsNetwork ScienceSociologyUrban Planning
- MetabolismreachesArchitectureBioinformaticsBiophysicsChemical EngineeringChemistryEngineeringEnvironmental EngineeringGeometryMathematicsMicrobiologyPhysics
- Circulatory systemreachesBusinessCardiologyEconomicsEngineeringLogisticsManagementMedicinePolitical ScienceSupply Chain ManagementUrban Planning
- Immune systemreachesBiomedical ScienceBiotechnologyEpidemiologyImmunologyMedicineMicrobiologyPediatricsPublic Health
- Nervous systemreachesBiomedical ScienceCognitive NeuroscienceCyberneticsMedicineNeurologyPhysiotherapyPsychiatry
Mental models that recur here
Feedback loop ×3
A loop where an effect feeds back to change its own cause. Reinforcing loops amplify change; balancing loops resist it.
Networks ×2
A set of parts connected so that a change in one can spread to others through the links.
Stocks and flows ×2
A stock is an amount that accumulates; flows are the rates that add to or drain it. The stock changes only when inflow and outflow differ.
Defense in depth ×1
Reliability comes not from one perfect barrier but from stacking several independent, imperfect barriers, so a threat must breach all of them at once.
People represented in this atlas
People tagged with this lens who have a recorded contribution. Not exhaustive, and not a ranking.
- William Harvey
1578–1657
- Susumu Tonegawa
1939–2026
- FRIEDMAN, Jeffrey
- 17 concepts are viewed through this lens.
- 10 of them bridge into other disciplines.
- Its signature thinking pattern is “Feedback loop” (recurs in 3 concepts).
- The most common kind of connection here is “Kind & structure”.
- It is most tightly linked to Biology.
Derived from the current graph structure — observations, not a judgement of the field.