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;
/
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
                            
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26.75 0.403
26.9 0.4
27.05 0.397
27.2 0.394
27.35 0.391
27.5 0.388
27.65 0.386
27.8 0.383
27.95 0.38
28.1 0.378
28.25 0.376
28.4 0.373
28.55 0.371
28.7 0.369
28.85 0.367
29 0.365
29.15 0.363
29.3 0.361
29.45 0.36
29.6 0.358
29.75 0.357
29.9 0.355
30.05 0.354
30.2 0.352
30.35 0.351
30.5 0.35
30.65 0.349
30.8 0.348
30.95 0.347
31.1 0.347
31.25 0.346
31.4 0.345
31.55 0.344
31.7 0.344
31.85 0.343
32 0.343
32.15 0.342
32.3 0.342
32.45 0.342
32.6 0.341
32.75 0.341
32.9 0.341
33.05 0.341
33.2 0.341
33.35 0.34
33.5 0.34
33.65 0.34
33.8 0.34
33.95 0.34
34.1 0.34
34.25 0.34
34.4 0.34
34.55 0.34
34.7 0.34
34.85 0.34
35 0.34
35.15 0.34
35.3 0.34
35.45 0.34
35.6 0.34
35.75 0.34
35.9 0.34
36.05 0.34
36.2 0.34
36.35 0.34
36.5 0.34
36.65 0.34
36.8 0.34
36.95 0.34
37.1 0.34
37.25 0.34
37.4 0.34
37.55 0.34
37.7 0.34
37.85 0.34
38 0.34
38.15 0.34
38.3 0.34
38.45 0.34
38.6 0.34
38.75 0.34
38.9 0.34
39.05 0.34
39.2 0.34
39.35 0.34
39.5 0.34
39.65 0.34
39.8 0.34
39.95 0.34
40.1 0.34
40.25 0.34
40.4 0.34
40.55 0.34
40.7 0.34
40.85 0.34
41 0.34
41.15 0.34
41.3 0.34
41.45 0.34
41.6 0.34
41.75 0.34
41.9 0.34
42.05 0.34
42.2 0.34
42.35 0.34
42.5 0.34
42.65 0.34
42.8 0.34
42.95 0.34
43.1 0.34
43.25 0.34
43.4 0.34
43.55 0.34
43.7 0.34
43.85 0.34
44 0.34
44.15 0.34
44.3 0.34
44.45 0.34
44.6 0.34
44.75 0.34
44.9 0.34
45.05 0.34
45.2 0.34
45.35 0.34
45.5 0.34
45.65 0.34
45.8 0.34
45.95 0.34
46.1 0.34
46.25 0.34
46.4 0.34
46.55 0.34
46.7 0.34
46.85 0.34
47 0.34
47.15 0.34
47.3 0.34
47.45 0.34
47.6 0.34
47.75 0.34
47.9 0.34
48.05 0.34
48.2 0.34
48.35 0.34
48.5 0.34
48.65 0.34
48.8 0.34
48.95 0.34
49.1 0.34
49.25 0.34
49.4 0.34
49.55 0.34
49.7 0.34
49.85 0.34
50 0.34

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