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- <?xml version="1.0" encoding="ISO-8859-1"?>
- <neuroml xmlns="http://www.neuroml.org/schema/neuroml2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.neuroml.org/schema/neuroml2 https://raw.github.com/NeuroML/NeuroML2/development/Schemas/NeuroML2/NeuroML_v2beta4.xsd" id="Kv3_1">
- <notes>NeuroML file containing a single Channel description</notes>
- <ionChannel id="Kv3_1" conductance="10pS" type="ionChannelHH" species="k">
- <notes>Fast, non inactivating K+ current
- Comment from original mod file:
- :Reference : : Characterization of a Shaw-related potassium channel family in rat brain, The EMBO Journal, vol.11, no.7,2473-2486 (1992)</notes>
- <annotation>
- <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
- <rdf:Description rdf:about="Kv3_1">
- <bqmodel:isDescribedBy xmlns:bqmodel="http://biomodels.net/model-qualifiers/">
- <rdf:Bag>
- <rdf:li>Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties,
- Etay Hay, Sean Hill, Felix Schürmann, Henry Markram and Idan Segev, PLoS Comp Biol 2011</rdf:li>
- <rdf:li rdf:resource="http://www.ncbi.nlm.nih.gov/pubmed/21829333"/>
- </rdf:Bag>
- </bqmodel:isDescribedBy>
- <bqbiol:isVersionOf xmlns:bqbiol="http://biomodels.net/biology-qualifiers/">
- <rdf:Bag>
- <rdf:li>K channels</rdf:li>
- <rdf:li rdf:resource="http://senselab.med.yale.edu/neurondb/channelGene2.aspx#table3"/>
- </rdf:Bag>
- </bqbiol:isVersionOf>
- </rdf:Description>
- </rdf:RDF>
- </annotation>
- <gate id="m" type="gateHHtauInf" instances="1">
- <timeCourse type="Kv3_1_m_tau_tau"/>
- <steadyState type="HHSigmoidVariable" rate="1" scale="9.7mV" midpoint="18.7mV"/>
- </gate>
- </ionChannel>
- <ComponentType name="Kv3_1_m_tau_tau" extends="baseVoltageDepTime">
- <Constant name="TIME_SCALE" dimension="time" value="1 ms"/>
- <Constant name="VOLT_SCALE" dimension="voltage" value="1 mV"/>
- <Dynamics>
- <DerivedVariable name="V" dimension="none" value="v / VOLT_SCALE"/>
- <DerivedVariable name="t" exposure="t" dimension="time" value="(4/(1 + exp( (V+46.56) / (-44.140) ))) * TIME_SCALE"/>
- </Dynamics>
- </ComponentType>
- </neuroml>
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