all-or-none principle in nerve excitation
E97828
The all-or-none principle in nerve excitation is the physiological rule that a nerve fiber, once stimulated beyond a certain threshold, responds with a full, uniform action potential rather than a graded response.
All labels observed (1)
| Label | Occurrences |
|---|---|
| all-or-none principle in nerve excitation canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T811001 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: all-or-none principle in nerve excitation Context triple: [Emil du Bois-Reymond, knownFor, all-or-none principle in nerve excitation]
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A.
Lessons in Elementary Physiology
Lessons in Elementary Physiology is a 19th-century introductory textbook on human physiology and biology written by Thomas Henry Huxley for educational use.
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B.
Steinmetz’s law of hysteresis
Steinmetz’s law of hysteresis is an empirical formula that relates the energy loss in magnetic materials to the maximum magnetic flux density, widely used in electrical engineering to estimate core losses in transformers and other AC magnetic devices.
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C.
Handbuch der physiologischen Optik
Handbuch der physiologischen Optik is a foundational 19th-century treatise on physiological optics that systematically integrated experimental physics and physiology to explain human vision.
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D.
Theory and Calculation of Alternating Current Phenomena
Theory and Calculation of Alternating Current Phenomena is a foundational electrical engineering text that systematically develops the mathematical analysis and practical design principles of alternating current (AC) circuits and machinery.
-
E.
Analysis of the Phenomena of the Human Mind
Analysis of the Phenomena of the Human Mind is an influential 1829 work of associationist psychology and philosophy by James Mill that systematically examines mental processes through the principles of association.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: all-or-none principle in nerve excitation Target entity description: The all-or-none principle in nerve excitation is the physiological rule that a nerve fiber, once stimulated beyond a certain threshold, responds with a full, uniform action potential rather than a graded response.
-
A.
Lessons in Elementary Physiology
Lessons in Elementary Physiology is a 19th-century introductory textbook on human physiology and biology written by Thomas Henry Huxley for educational use.
-
B.
Steinmetz’s law of hysteresis
Steinmetz’s law of hysteresis is an empirical formula that relates the energy loss in magnetic materials to the maximum magnetic flux density, widely used in electrical engineering to estimate core losses in transformers and other AC magnetic devices.
-
C.
Handbuch der physiologischen Optik
Handbuch der physiologischen Optik is a foundational 19th-century treatise on physiological optics that systematically integrated experimental physics and physiology to explain human vision.
-
D.
Theory and Calculation of Alternating Current Phenomena
Theory and Calculation of Alternating Current Phenomena is a foundational electrical engineering text that systematically develops the mathematical analysis and practical design principles of alternating current (AC) circuits and machinery.
-
E.
Analysis of the Phenomena of the Human Mind
Analysis of the Phenomena of the Human Mind is an influential 1829 work of associationist psychology and philosophy by James Mill that systematically examines mental processes through the principles of association.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
neurophysiological concept
ⓘ
physiological principle ⓘ |
| appliesTo |
action potentials
ⓘ
cardiac muscle fibers ⓘ nerve fibers ⓘ neurons ⓘ skeletal muscle fibers ⓘ |
| associatedWith |
Edgar Adrian
ⓘ
Hermann von Helmholtz ⓘ |
| clarifiesThat | response magnitude of a single axon is not proportional to stimulus strength above threshold ⓘ |
| contrastsWith |
electrotonic potentials
ⓘ
graded potentials ⓘ |
| dependsOn |
reaching a critical level of depolarization
ⓘ
regenerative opening of sodium channels ⓘ |
| describes | response of a nerve fiber to stimulation ⓘ |
| doesNotImply | all neurons in a nerve trunk fire simultaneously ⓘ |
| hasConsequence |
nerve impulses are stereotyped events
ⓘ
signal reliability along the axon is increased ⓘ |
| holdsFor | individual axons ⓘ |
| implies |
information about stimulus intensity is encoded in firing frequency rather than spike size
ⓘ
stronger suprathreshold stimuli do not increase action potential amplitude ⓘ |
| isBasisFor | uniform size of action potentials in a given axon ⓘ |
| isDemonstratedBy |
recordings of single-axon action potentials
ⓘ
stimulus–response curves showing threshold behavior ⓘ |
| isFundamentalTo |
Hodgkin–Huxley model of the action potential
ⓘ
linked to:
Hodgkin–Huxley model
classical nerve physiology ⓘ |
| isObservedIn |
myelinated axons
ⓘ
unmyelinated axons ⓘ |
| isRelatedTo |
refractory period of neurons
ⓘ
safety factor for conduction ⓘ |
| isSometimesMisinterpretedAs | all cells in a tissue firing together ⓘ |
| isTaughtIn |
cellular neuroscience
ⓘ
medical physiology ⓘ neurophysiology ⓘ |
| relatesTo |
membrane excitability
ⓘ
nerve impulse conduction ⓘ threshold potential ⓘ |
| reliesOn |
positive feedback of sodium influx
ⓘ
voltage-gated sodium channels ⓘ |
| statesThat |
a nerve fiber responds with a full action potential once threshold is reached
ⓘ
action potential amplitude is not graded with stimulus strength above threshold ⓘ subthreshold stimuli do not produce an action potential ⓘ |
| usedToExplain |
binary nature of neuronal spiking
ⓘ
uniform conduction of nerve impulses ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: all-or-none principle in nerve excitation Description of subject: The all-or-none principle in nerve excitation is the physiological rule that a nerve fiber, once stimulated beyond a certain threshold, responds with a full, uniform action potential rather than a graded response.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.