Human-L2-3-Cortical-Microcircuit/NeuroML2/channels/Ca_LVA.channel.nml

<?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="Ca_LVA">

    <notes>NeuroML file containing a single Channel description</notes>

    <ionChannel id="Ca_LVA" conductance="10pS" type="ionChannelHH" species="ca">

        <notes>Low voltage activated Ca2+ current

Comment from original mod file:
Note: mtau is an approximation from the plots
:Reference : :		Avery and Johnston 1996, tau from Randall 1997
:Comment: shifted by -10 mv to correct for junction potential
:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal 21</notes>

        <annotation>
            <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
                <rdf:Description rdf:about="Ca_LVA">

                    <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>Ca channels</rdf:li>
                            <rdf:li rdf:resource="http://senselab.med.yale.edu/neurondb/channelGene2.aspx#table1"/>
                        </rdf:Bag>
                    </bqbiol:isVersionOf>

                </rdf:Description>
            </rdf:RDF>
        </annotation>

        <gate id="m" type="gateHHtauInf" instances="2">
            <q10Settings type="q10Fixed" fixedQ10="2.95288264"/>
            <timeCourse type="Ca_LVA_m_tau_tau"/>
            <steadyState type="HHSigmoidVariable" rate="1" scale="6mV" midpoint="-40mV"/>
        </gate>

        <gate id="h" type="gateHHtauInf" instances="1">
            <q10Settings type="q10Fixed" fixedQ10="2.95288264"/>
            <timeCourse type="Ca_LVA_h_tau_tau"/>
            <steadyState type="HHSigmoidVariable" rate="1" scale="-6.4mV" midpoint="-90mV"/>
        </gate>

    </ionChannel>

    <ComponentType name="Ca_LVA_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="(5 + 20 / (1 + (exp ((V+35)/5) ))) * TIME_SCALE"/>
        </Dynamics>

    </ComponentType>

    <ComponentType name="Ca_LVA_h_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="(20 + 50 / (1 + (exp ((V+50)/7) ))) * TIME_SCALE"/>
        </Dynamics>

    </ComponentType>

</neuroml>