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gptkbp:instanceOf
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gptkb:logic
|
|
gptkbp:appliesTo
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neurons
|
|
gptkbp:basisFor
|
computational neuroscience
biophysical modeling of neurons
|
|
gptkbp:describes
|
electrical characteristics of excitable cells
|
|
gptkbp:developedBy
|
gptkb:Alan_Lloyd_Hodgkin
gptkb:Andrew_Fielding_Huxley
1952
|
|
gptkbp:explains
|
action potential generation
action potential propagation
|
|
gptkbp:field
|
biophysics
mathematical biology
neuroscience
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Hodgkin-Huxley model
|
|
gptkbp:includes
|
partial differential equations
leak current
ion channel conductances
membrane capacitance
membrane potential
potassium current
sodium current
|
|
gptkbp:influenced
|
gptkb:FitzHugh-Nagumo_model
gptkb:Morris-Lecar_model
|
|
gptkbp:locationOfOriginalExperiment
|
gptkb:giant_axon_of_squid
|
|
gptkbp:NobelPrizeYear
|
gptkb:Nobel_Prize_in_Physiology_or_Medicine_1963
|
|
gptkbp:publishedIn
|
gptkb:The_Journal_of_Physiology
|
|
gptkbp:usedFor
|
simulating nerve impulses
studying ion channel dynamics
|
|
gptkbp:bfsParent
|
gptkb:convolutional_neural_network
|
|
gptkbp:bfsLayer
|
5
|