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;
/
olfactory-bulb-gilra-bhalla
channels
neuron_channels
README.txt
cadecay.mod *
hpg.mod *
kA.mod
kamt.mod *
kca3.mod *
kdrmt.mod *
kfasttab.mod
kslowtab.mod
lcafixed.mod
nafast.mod
naxn.mod *
TCa_d.mod *
kfast_k.inf *
kfast_k.tau *
kfast_n.inf *
kfast_n.tau *
kslow_k.inf *
kslow_k.tau *
kslow_n.inf *
kslow_n.tau *
mit_memb.hoc
NeuronSimulatorChannelTest.py
                            
TITLE Calcium decay
: as described in Bhalla and Bower, J. Neurophysiol. 69:1948-1983 (1993)
: written by Andrew Davison
: partially based on cadecay.mod by Alain Destexhe, Salk Institute 1995.
: 25-08-98

INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms) }

NEURON{
	SUFFIX cad
	USEION ca READ ica, cai WRITE cai
	RANGE ica, channel_flow, depth, B
	GLOBAL cai, tau, cainf
}

UNITS {
	(mA) = (milliamp)
	(mV) = (millivolt)
	(molar) = (1/liter)
	(mM) = (millimolar)
	(um) = (micron)
}

CONSTANT {
        FARADAY = 96154 (coul)
	:FARADAY = 93149 (coul)		: moles do not appear in units
					: note this value is chosen to fit with
					: Genesis
}

PARAMETER {
	dt (ms)
	depth = 1 	(um)		: shell within which cai is calculated
					: to match Bhalla and Bower 1993 set
					: depth = diam/4 for each compartment
	tau = 10 	(ms)		: cai decay constant
	cainf = 1e-5	(mM)		: baseline calcium concentration
	ica		(mA/cm2)
}

STATE {
	cai		(mM)
}

INITIAL {
	cai = cainf
}

ASSIGNED {
	channel_flow	(mM/ms)
	B		(mM cm2/ms/mA)
}

BREAKPOINT {
	SOLVE state METHOD cnexp
}

DERIVATIVE state {
	B = -(1e4)/(2*FARADAY*depth)
	channel_flow = B*ica
	if (channel_flow <= 0.0 ) { channel_flow = 0.0 }	: one way flow in channel
	cai' = channel_flow  - (cai - cainf)/tau
}