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

 Download zip file 
Help downloading and running models
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;
<?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/v1.8.1/Level2/ChannelML_v1.8.1.xsd"
    units="SI Units">

    <meta:notes>Excitatory mitral to PG synpase adapted from bursty PG sEPSPs in average over papers of McQuiston and Katz, Murphy etal, Hayar et al 2004b, and average of bursty ET->PG and direct ON EPSPs</meta:notes>
     
    <synapse_type name="mitral_PG">
               
        <status value="in_progress">
            <meta:contributor>
                <meta:name>Aditya Gilra</meta:name>
            </meta:contributor>
        </status>
    
        <meta:notes> Dual exponential excitatory mitral to PG synapse analogous to ORN->PG synapse </meta:notes>
        
        <meta:authorList>
            <meta:modelAuthor>
                <meta:name>Aditya Gilra</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:notes> time constants from Hayar et al, gmax is guess-averaged from all three. </meta:notes>
        <meta:publication>
           <meta:fullTitle>Abdallah Hayar et al., “External Tufted Cells: A Major Excitatory Element That Coordinates Glomerular Activity,” J. Neurosci. 24, no. 30 (July 28, 2004): 6676-6685.</meta:fullTitle>
        </meta:publication>
        <meta:publication>
           <meta:fullTitle>A R McQuiston and L C Katz, “Electrophysiology of interneurons in the glomerular layer of the rat olfactory bulb,” Journal of Neurophysiology 86, no. 4 (October 2001): 1899-1907.</meta:fullTitle>
        </meta:publication>
        <meta:publication>
           <meta:fullTitle>Gabe J Murphy, Daniel P Darcy, and Jeffry S Isaacson, “Intraglomerular inhibition: signaling mechanisms of an olfactory microcircuit,” Nat Neurosci 8, no. 3 (March 2005): 354-364.</meta:fullTitle>
        </meta:publication>
        
        <meta:neuronDBref>
            <meta:modelName></meta:modelName>
            <meta:uri></meta:uri>
        </meta:neuronDBref>
       
       <!-- if changing max_conductance value below, remember to change value in OBNetwork.py also -->
       <doub_exp_syn max_conductance="1.25e-9" rise_time="1.0e-3" decay_time="1.0e-3" reversal_potential="0.0"/> <!-- with PG 2013 cell, gives ~6 mV EPSP -->
       
    </synapse_type>
</channelml>