ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)

 Download zip file 
Help downloading and running models
Accession:146813
This matlab code was used in the papers de Almeida, Idiart and Linster, (2013), Devore S, de Almeida L, Linster C (2014) . This work uses a computational model of the OB and PC and their common cholinergic inputs to investigate how bulbar cholinergic modulation affects cortical odor processing.
References:
1 . de Almeida L, Idiart M, Linster C (2013) A model of cholinergic modulation in olfactory bulb and piriform cortex. J Neurophysiol 109:1360-77 [PubMed]
2 . Devore S, de Almeida L, Linster C (2014) Distinct roles of bulbar muscarinic and nicotinic receptors in olfactory discrimination learning. J Neurosci 34:11244-60 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Olfactory bulb main mitral cell; Piriform cortex anterior pyramidal layer II cell; Olfactory bulb main interneuron periglomerular cell; Olfactory bulb main interneuron granule MC cell; Piriform cortex anterior interneuron superficial cell; Piriform cortex anterior interneuron deep layer cell;
Channel(s):
Gap Junctions:
Receptor(s): Nicotinic; Muscarinic; Cholinergic Receptors; Olfactory Receptors;
Gene(s):
Transmitter(s): Acetylcholine;
Simulation Environment: MATLAB;
Model Concept(s): Oscillations; Synchronization; Synaptic Plasticity; Noise Sensitivity; Olfaction;
Implementer(s): de Almeida, Licurgo [lbd38 at cornell.edu];
Search NeuronDB for information about:  Olfactory bulb main mitral cell; Piriform cortex anterior pyramidal layer II cell; Olfactory bulb main interneuron periglomerular cell; Olfactory bulb main interneuron granule MC cell; Piriform cortex anterior interneuron superficial cell; Piriform cortex anterior interneuron deep layer cell; Nicotinic; Muscarinic; Cholinergic Receptors; Olfactory Receptors; Acetylcholine;
Files displayed below are from the implementation
function M2 = CreateSimpleBulb(tsim,ncells)
% M2 = CreateSimpleBulb(tsim,ncells)
% This function creates the Mi cells and runs the simulation:
% tsim: simulation time
% ncells: number of cells in each cell group
% Mod is either true (for Mod ON) or false (for Mod OFF)

M2 = classSimpleMitral(tsim,ncells);
M2 = SetBulbSimpleParam(M2);
M2 = CreateOutput(M2);

Loading data, please wait...