Models of Respiratory Rhythm Generation in the Pre-Botzinger Complex. II. Populations of Coupled Pacemaker Neurons: Single Cell Model

Models of Respiratory Rhythm Generation in the Pre-Botzinger Complex. II. Populations of Coupled Pacemaker Neurons

Model Status

This CellML model represents a single neuron in a network of cells. This cell model is based on "model 1" published in a preceding paper (Butera et al. 1999) which is also described in CellML as a stand alone CellML 1.0 model. To model inter-cellular coupling a synaptic input current I_{syn_e} has been added to the model.

The MATLAB script (buteraModel.m) should be used to generate a CellML file for multi-cell models. The generated model will import butera_single_cell_1999.cellml repeatedly, once for each of the multiple cells, and it will generate values from a random normal distribution for the required connectivity coefficients between the cells. The main model for the exposure (butera_ten_cell_1999.cellml) was generated from the MATLAB script.

Model Structure

The single cell neuron model is based on a single-compartment Hodgkin-Huxley type formalism. It is composed of five ionic currents across the plasma membrane: a fast sodium current, I_Na; a delayed rectifier potassium current, I_K; a persistent sodium current, I_NaP; a passive leakage current, I_L; and a tonic current, I_{tonic_e} In addition for the multicellular model a synaptic current (I_{syn_e}) has been added to connect the cells in the network.

The original paper reference is cited below:

Models of respiratory rhythm generation in the Pre-Botzinger complex. II. Populations Of coupled pacemaker neurons, Butera RJ Jr, Rinzel J, Smith JC, 1999, Journal of Neurophysiology, 82, 398-415. PubMed ID: 10400967