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]
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;
// Granule cell model of Migliore and Shepherd 
// keep only primary dendrite
// Translated by Aditya NCBS 2010.
// fields are ..
// name
// parent
// x,y,z  // coords of endpoint. 
// dia // needed for memb props. All lengths are in microns.
// ch name density 
// ch name density 
// .....
// Control lines start with '*'. Valid control options are 
// *relative 			- relative coords.
// *absolute			- absolute coords.
// *asymmetric			- use asymmetric compartments
// *symmetric			- use symmetric compartments

// #	name	parent		x	y	z	d	ch	dens	ch	dens	.	.	.

*symmetric //Neuron has only symmetric compartments - however hsolve symmetrizes the Ra-s internally.
// With the present implementation, it doesn't matter whether you write symmetric or asymmetric here.
*relative

*set_global	EREST_ACT	-0.065

// reduced two compartmental granule adapted from Migliore and Shepherd

*cartesian

*start_cell
// Both Migliore and Shepherd 2008 and Egger et al 2003 say taum = 30ms, Rin=1GOhm. So set RM and CM for it. 
*set_global	RA	0.8 // Ohm-m from 80 Ohm-cm
*set_global	CM	0.04 // F/m^2
//*set_global	RM	0.75 // RM = 30e-3/CM = 0.75 Ohm-m^2
// Aditya: I reduced CM to 0.02 from 0.04. Thus time constant is now 15ms not 30ms.
*set_global	RM	0.75 // RM = 30e-3/CM = 0.75 Ohm-m^2
// soma is somagc of gc.hoc of Migliore and Shepherd 2008.
soma	none	8	0	0	8	Na_rat_ms   400 KDR_ms	60  KA_ms   40

// periphery is priden of gc.hoc of Migliore and Shepherd 2008.
// Following Migliore and Shepherd 2008, I have only KA and not KDR in dendrites! This is supposed to cause spike latency
periphery  soma	    150	0	0	0.5 Na_rat_ms   200 KA_ms   80

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