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.
Model Type: Realistic Network
Region(s) or Organism(s): 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
Currents: I A; I h; I K,Ca; I Sodium; I Calcium; I Potassium
Model Concept(s): Sensory processing; Sensory coding; Markov-type model; Olfaction
Simulation Environment: Python; MOOSE/PyMOOSE
Implementer(s): Bhalla, Upinder S [bhalla at ncbs.res.in]; Gilra, Aditya [aditya_gilra -at- yahoo -period- com]
References:
Gilra A, Bhalla US. (2015). Bulbar microcircuit model predicts connectivity and roles of interneurons in odor coding. PloS one. 10 [PubMed]