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<?xml version="1.0" encoding="UTF-8"?>
<channelml xmlns="http://morphml.org/channelml/schema"
           xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
           xmlns:meta="http://morphml.org/metadata/schema"
           xsi:schemaLocation="http://morphml.org/channelml/schema  http://www.neuroml.org/NeuroMLValidator/NeuroMLFiles/Schemata/v1.8.0/Level2/ChannelML_v1.8.0.xsd"
           units="Physiological Units"
>


    
<meta:notes>ChannelML file based on Traub et al. 2003</meta:notes>

    
<channel_type name="naf2" density="yes">
        
        
<status value="stable">
            
<meta:comment>Verified equivalence of NEURON and GENESIS mapping to orig NEURON mod impl at 0.02ms dt with current pulse</meta:comment>
            
<meta:issue>In original mod, m is initialised to 0, as opposed to minf at t=0. ChannelML impl corrects this</meta:issue>
            
<meta:issue>Comment in original mod file: hinf, and htau are shifted 3.5 mV compared to the paper</meta:issue>
            
<meta:contributor>
                
<meta:name>Padraig Gleeson</meta:name>
            
</meta:contributor>
        
</status>
                
        
<meta:notes>Fast Sodium transient (inactivating) current. Channel used in Traub et al 2005, slight modification of naf from Traub et al 2003.
        This example is used to illustrate the use of parameters in the generic expressions for the rates
</meta:notes>
        
        
<meta:authorList>
            
<meta:modelAuthor>
                
<meta:name>Maciej Lazarewicz</meta:name>
                
<meta:comment>Conversion of FORTRAN model to NEURON. See Traub et al 2003 for detailed origin of channels</meta:comment>
            
</meta:modelAuthor>
            
<meta:modelAuthor>
                
<meta:name>Roger D Traub</meta:name>
                
<meta:comment>Conversion of FORTRAN model to NEURON. See Traub et al 2003 for detailed origin of channels</meta:comment>
            
</meta:modelAuthor>
            
            
<meta:modelTranslator>
                
<meta:name>Padraig Gleeson</meta:name>
                
<meta:institution>UCL</meta:institution>
                
<meta:email>p.gleeson - at - ucl.ac.uk</meta:email>
            
</meta:modelTranslator>
            
<meta:modelTranslator>
                
<meta:name>Yoana Dimitrova</meta:name>
                
<meta:institution>UCL</meta:institution>
            
</meta:modelTranslator>
            
            
        
</meta:authorList>

        
<meta:publication>
            
<meta:fullTitle>Roger D. Traub, Eberhard H. Buhl, Tengis Gloveli, and Miles A. Whittington                
Fast Rhythmic Bursting Can Be Induced in Layer 2/3 Cortical Neurons by Enhancing Persistent Na+ Conductance or by Blocking BK Channels
J Neurophysiol 89: 909-921, 2003
</meta:fullTitle>
            
<meta:pubmedRef>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&amp;db=pubmed&amp;dopt=Abstract&amp;list_uids=12574468</meta:pubmedRef>
        
</meta:publication>

        
<meta:publication>
            
<meta:fullTitle>Roger D. Traub, Diego Contreras, Mark O. Cunningham, Hilary Murray, Fiona E. N. LeBeau, Anita Roopun, Andrea Bibbig, W. Bryan Wilent, Michael J. Higley, and Miles A. Whittington
Single-column thalamocortical network model exhibiting gamma oscillations, sleep spindles, and epileptogenic bursts.
J. Neurophysiol. 93, 2194-2232, 2005
</meta:fullTitle>
            
<meta:pubmedRef>http://www.ncbi.nlm.nih.gov/pubmed/15525801?dopt=Abstract</meta:pubmedRef>
        
</meta:publication>

        
<meta:neuronDBref>
            
<meta:modelName>Na channels</meta:modelName>
            
<meta:uri>http://senselab.med.yale.edu/senselab/NeuronDB/channelGene2.htm#table2</meta:uri>
        
</meta:neuronDBref>
        
        
<meta:modelDBref>
            
<meta:modelName>Mechanisms of fast rhythmic bursting in a layer 2/3 cortical neuron (Traub et al 2003)</meta:modelName>
            
<meta:uri>http://senselab.med.yale.edu/ModelDB/ShowModel.asp?model=20756</meta:uri>
        
</meta:modelDBref>

        
<meta:modelDBref>
            
<meta:modelName>A single column thalamocortical network model (Traub et al 2005)</meta:modelName>
            
<meta:uri>http://senselab.med.yale.edu/ModelDb/ShowModel.asp?model=45539</meta:uri>
        
</meta:modelDBref>
        
        
<parameters>
            
<parameter name="fastNa_shift" value ="0"/>  
            
<parameter name="a" value ="0"/>
            
<parameter name="b" value ="0"/>
            
<parameter name="c" value ="0"/>
            
<parameter name="d" value ="0"/>  
        
</parameters>
        
        
<current_voltage_relation cond_law="ohmic" ion="na" default_gmax="0.1" default_erev="50">
            
            
<gate name="m" instances="3">
                
                
<closed_state id="m0"/>
                
<open_state id="m"/>
                
                
<time_course name="tau" from="m0" to="m" expr_form="generic" expr="( v + fastNa_shift ) &lt; -30 ? 0.0125 + 0.1525 * ( exp ( ((v + fastNa_shift) + 30) / 10) ) : 0.02 + a + (0.145 + b) * ( exp ( -1 * ((v + fastNa_shift + d) + 30) / (10 + c)) )" />
                    
                
<steady_state name="inf" from="m0" to="m" expr_form="generic" expr=" 1 / ( 1 + (exp ( ( -1 * (v + fastNa_shift) - 38) / 10)) ) " />
                    
            
</gate>
        
            
<gate name="h" instances="1">
                
                
<closed_state id="h0"/>
                
<open_state id="h"/>
                    
                
<time_course name="tau" from="h0" to="h" expr_form="generic" expr="0.225 + 1.125 / ( 1 + ( exp (( ( v + fastNa_shift * 0 ) + 37 ) / 15) ) )" />
                    
                
<steady_state name="inf" from="h0" to="h" expr_form="generic" expr="1 / ( 1 + (exp (( ( v + fastNa_shift * 0 ) + 58.3 ) / 6.7)) )" />
                    
            
</gate>
            
        
</current_voltage_relation>
        
        
        
<impl_prefs>
            
<comment>Note: increased max v past Na rev potential</comment>
            
<table_settings max_v="140" min_v="-120" table_divisions="1041"/>
        
</impl_prefs>
        
    
</channel_type>
</channelml>