Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)

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Accession:153574
A detailed network model of the dual-layer dendro-dendritic inhibitory microcircuits in the rat olfactory bulb comprising compartmental mitral, granule and PG cells developed by Aditya Gilra, Upinder S. Bhalla (2015). All cell morphologies and network connections are in NeuroML v1.8.0. PG and granule cell channels and synapses are also in NeuroML v1.8.0. Mitral cell channels and synapses are in native python.
Reference:
1 . Gilra A, Bhalla US (2015) Bulbar microcircuit model predicts connectivity and roles of interneurons in odor coding. PLoS One 10:e0098045 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Olfactory bulb;
Cell Type(s): Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron periglomerular GABA cell; Olfactory bulb main interneuron granule MC GABA cell;
Channel(s): I A; I h; I K,Ca; I Sodium; I Calcium; I Potassium;
Gap Junctions:
Receptor(s): AMPA; NMDA; Gaba;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: Python; MOOSE/PyMOOSE;
Model Concept(s): Sensory processing; Sensory coding; Markov-type model; Olfaction;
Implementer(s): Bhalla, Upinder S [bhalla at ncbs.res.in]; Gilra, Aditya [aditya_gilra -at- yahoo -period- com];
Search NeuronDB for information about:  Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron periglomerular GABA cell; Olfactory bulb main interneuron granule MC GABA cell; AMPA; NMDA; Gaba; I A; I h; I K,Ca; I Sodium; I Calcium; I Potassium; Gaba; Glutamate;
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olfactory-bulb-gilra-bhalla
channels
neuron_channels
CaHVA_Chan.xml
CaL_Chan.xml
CaLChannel.py
CaPool.py
CaTChannel.py
channelConstants.py
granuleDefaults.py
Ih_cb.xml
KAChannel.py
KAChannelMS.py
KCaA.dat
KCaA_PG.dat
KCaB.dat
KCaB_PG.dat
KCaChannel.py
KCaChannel_PG.py
KCaMPIChannel.py
KCaMPIChannel_PG.py
KDRChannelMS.py
kfast_k.inf *
kfast_k.tau *
kfast_n.inf *
kfast_n.tau *
KFastChannel.py
KMChannel.py
kslow_k.inf *
kslow_k.tau *
kslow_n.inf *
kslow_n.tau *
KSlowChannel.py
load_channels.py
MOOSEChannelTest.py
NaChannel.py
NaGranChannel.py
NaMitChannelMS.py
tabchannels.dat *
TCa_d.xml
                            
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    xmlns:meta="http://morphml.org/metadata/schema" 
    xsi:schemaLocation="http://morphml.org/channelml/schema  http://www.neuroml.org/NeuroMLValidator/NeuroMLFiles/Schemata/v1.8.1/Level2/ChannelML_v1.8.1.xsd"
    units="SI Units">

    <meta:notes>T-type (low threshold) Ca channel for periglomerular cells translated from the NEURON version of Destexhe available as ModelDB accession number 17663.</meta:notes>
     
    <channel_type name="TCa_d">
               
        <status value="in_progress">
            <meta:contributor>
                <meta:name>Aditya Gilra</meta:name>
            </meta:contributor>
        </status>
    
        <meta:notes> T-type (low-threshold) Ca channel</meta:notes>
        
        <meta:authorList>
            <meta:modelAuthor>
                <meta:name>Huguenard</meta:name>
            </meta:modelAuthor>
            <meta:modelAuthor>
                <meta:name>Prince</meta:name>
            </meta:modelAuthor>
            <meta:modelAuthor>
                <meta:name>Destexhe</meta:name>
            </meta:modelAuthor>
            <meta:modelTranslator>
                <meta:name>Aditya Gilra</meta:name>
                <meta:institution>NCBS, India</meta:institution>    
                <meta:email>adityag@ncbs.res.in</meta:email>
            </meta:modelTranslator>
        </meta:authorList>
        
        
        <meta:publication>
           <meta:fullTitle>Huguenard, J. R., and D. A. Prince. ‘A Novel T-type Current Underlies Prolonged Ca(2+)-dependent Burst Firing in GABAergic Neurons of Rat Thalamic Reticular Nucleus’. The Journal of Neuroscience 12, no. 10 (10 January 1992): 3804–3817.</meta:fullTitle>
        </meta:publication>
        
        <meta:neuronDBref>
            <meta:modelName>Thalamic reticular neurons: the role of Ca currents (Destexhe et al 1996)</meta:modelName>
            <meta:uri>http://senselab.med.yale.edu/ModelDb/ShowModel.asp?model=17663</meta:uri>
        </meta:neuronDBref>
        
        <current_voltage_relation cond_law="ohmic" ion="Ca" default_gmax="0.5" default_erev="0.120">
            
            <q10_settings q10_factor="5" experimental_temp="24.0" gate="m"/>
            <q10_settings q10_factor="3" experimental_temp="24.0" gate="h"/>
            <!--<offset value="0.010"/>-->
            
            <gate name="m" instances="2">
                <closed_state id="m0"/>
                <open_state id="m"/>
                     
                <!-- Order is important: first time_course, then steady_state-->
                <time_course name="tau" from="m0" to="m" expr_form="generic" expr="3e-3 + 1.0e-3 / ( exp((v+0.025)/0.010) + exp(-(v+0.1)/0.015) )" />
                <steady_state name="inf" from="m0" to="m" expr_form="sigmoid" rate="1.0" scale="-0.0074" midpoint="-0.05"/>
            </gate>
            
            <gate name="h" instances="1">
                <closed_state id="h0"/>
                <open_state id="h"/>
                     
                <!-- Order is important: first time_course, then steady_state-->
                <time_course name="tau" from="h0" to="h" expr_form="generic" expr="85e-3 + 1.0e-3 / ( exp((v+0.046)/0.004) + exp(-(v+0.405)/0.050) )" />
                <steady_state name="inf" from="h0" to="h" expr_form="sigmoid" rate="1.0" scale="0.005" midpoint="-0.078"/>
            </gate>
            
        </current_voltage_relation> 
        
        
        <impl_prefs>
            <table_settings max_v="0.1" min_v="-0.1" table_divisions="200"/>
        </impl_prefs>
        
    </channel_type>
</channelml>