Hodgkin–Huxley model
E381979
The Hodgkin–Huxley model is a mathematical description of how action potentials in neurons are initiated and propagated through voltage-gated ion channels in the cell membrane.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Hodgkin–Huxley model canonical | 3 |
| Hodgkin–Huxley model of the action potential | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3717864 — 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: Hodgkin–Huxley model Context triple: [Alan Hodgkin, knownFor, Hodgkin–Huxley model]
-
A.
all-or-none principle in nerve excitation
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.
-
B.
SNN
SNN is the National Rail station code assigned to Swinton railway station in South Yorkshire, England.
-
C.
Ian Hodgkin
Ian Hodgkin is a person notable enough to be recognized as a bearer of the Hodgkin surname.
-
D.
Hebbian learning
Hebbian learning is a neurobiological and computational learning principle often summarized as "cells that fire together wire together," where the connection between neurons is strengthened when they are activated simultaneously.
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E.
Hopfield networks
Hopfield networks are recurrent artificial neural networks that serve as content-addressable memory systems, storing patterns as stable states and retrieving them through dynamics that minimize an energy function.
- 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: Hodgkin–Huxley model Target entity description: The Hodgkin–Huxley model is a mathematical description of how action potentials in neurons are initiated and propagated through voltage-gated ion channels in the cell membrane.
-
A.
all-or-none principle in nerve excitation
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.
-
B.
SNN
SNN is the National Rail station code assigned to Swinton railway station in South Yorkshire, England.
-
C.
Ian Hodgkin
Ian Hodgkin is a person notable enough to be recognized as a bearer of the Hodgkin surname.
-
D.
Hebbian learning
Hebbian learning is a neurobiological and computational learning principle often summarized as "cells that fire together wire together," where the connection between neurons is strengthened when they are activated simultaneously.
-
E.
Hopfield networks
Hopfield networks are recurrent artificial neural networks that serve as content-addressable memory systems, storing patterns as stable states and retrieving them through dynamics that minimize an energy function.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
biophysical model
ⓘ
computational neuroscience model ⓘ mathematical model ⓘ |
| appliesTo | neuronal cell membrane ⓘ |
| approach | conductance-based description of membrane currents ⓘ |
| assumes |
isopotential membrane patch
ⓘ
voltage-dependent rate constants ⓘ |
| awarded | Nobel Prize in Physiology or Medicine 1963 (to its developers) ⓘ |
| basedOn | voltage clamp experiments ⓘ |
| characterizedBy |
refractory period dynamics
ⓘ
threshold behavior of action potentials ⓘ voltage-dependent ion channel kinetics ⓘ |
| describes |
generation of action potentials
ⓘ
membrane potential dynamics ⓘ propagation of action potentials ⓘ voltage-gated ion channel dynamics ⓘ |
| developedBy |
Alan Hodgkin
ⓘ
surface form:
Alan Lloyd Hodgkin
Andrew Huxley ⓘ
surface form:
Andrew Fielding Huxley
|
| developedFor | giant axon of the squid ⓘ |
| field |
biophysics
ⓘ
computational biology ⓘ neuroscience ⓘ |
| hasGatingVariable |
h
ⓘ
m ⓘ n ⓘ |
| hasParameter |
leak conductance
ⓘ
leak reversal potential ⓘ maximum potassium conductance ⓘ maximum sodium conductance ⓘ membrane capacitance per unit area ⓘ potassium reversal potential ⓘ sodium reversal potential ⓘ |
| includes |
gating variables
ⓘ
leak current ⓘ membrane capacitance ⓘ potassium current ⓘ sodium current ⓘ |
| influenced |
FitzHugh–Nagumo model
ⓘ
FitzHugh–Nagumo model ⓘ
surface form:
Morris–Lecar model
conductance-based neuron models ⓘ integrate-and-fire neuron models ⓘ |
| mathematicalForm | set of coupled ordinary differential equations ⓘ |
| publicationYear | 1952 ⓘ |
| publishedIn | The Journal of Physiology ⓘ |
| usedIn |
cardiac electrophysiology modeling
ⓘ
computational simulations of neurons ⓘ neural excitability studies ⓘ |
| uses | nonlinear differential equations ⓘ |
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: Hodgkin–Huxley model Description of subject: The Hodgkin–Huxley model is a mathematical description of how action potentials in neurons are initiated and propagated through voltage-gated ion channels in the cell membrane.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Hodgkin–Huxley model of the action potential
this entity surface form:
Hodgkin–Huxley model of the action potential
this entity surface form:
Hodgkin–Huxley model of the action potential
subject surface form:
Alan Lloyd Hodgkin