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

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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 GLU cell; Piriform cortex anterior pyramidal layer II GLU cell; Olfactory bulb main interneuron periglomerular GABA cell; Olfactory bulb main interneuron granule MC GABA cell; Piriform cortex anterior interneuron superficial GABA cell; Piriform cortex anterior interneuron deep layer GABA 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 GLU cell; Piriform cortex anterior pyramidal layer II GLU cell; Olfactory bulb main interneuron periglomerular GABA cell; Olfactory bulb main interneuron granule MC GABA cell; Piriform cortex anterior interneuron superficial GABA cell; Piriform cortex anterior interneuron deep layer GABA cell; Nicotinic; Muscarinic; Cholinergic Receptors; Olfactory Receptors; Acetylcholine;
Files displayed below are from the implementation
% Mi = SetBulbSimpleParam(Mi)
% This function set bulb parameters for the simple model
% Change network parameters here

function Mi = SetBulbSimpleParam(Mi)
Mi.f = 30; % frequency of modulation
Mi.r = 60; % sets the average firing rate in response to the odor
% stimulation
Mi.delta = 16; % controls the duration of the positive excursion of
% the oscillation. higher delta = higher synchronization.
Mi.A = 4; % controls the sparseness of the odor representation.
% higher A = low sparseness and vice-versa.
Mi.refrac = 20; % Period o inactivity to make the activation patter of
% Mitral cells from this model similar to the biophysical model. This
% should not be seeing as something like a refractory period of the
% integrate and fire neurons.
end

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