Model of a Sympathetic Preganglionic Neurone Created by M.F. Nolan 2010 Edited by L.J.B Briant 1. This code creates a model of a sympathetic preganglionic neurone (SPN), which is used in Briant and Stalbovskiy et al. (2014). The code describing the morphology and mechanisms in the model cell are in Cell.hoc. 2. The model focuses on ensuring the potassium A-current (IA) within the model, and the output produced by the model in response to typical inputs, well-fits the experimental data (see Figure 2 in Whyment et al. 2011). These parameter fitting data are generated by: I-V.hoc CurrentMagnitude.hoc HyperpolarisingPulses.hoc I-F.hoc PrepulseDuration.hoc Activation.hoc Inactivation.hoc These simulation generate data for Figure A1 in Briant and Stalbovskiy et al. (2014). The steady-state curve (Figure A1 A3) can be generated from the output of these hoc codes, by using the MATLAB code provided in the MATLAB code folder. 3. The model is then used to investigate how alterations to IA influence the excitability and output of the model. The reader can alter IA parameters and measure how the excitability (say AHP) changes. As an example parameter GKABAR is investigated for its influence on the inflection point in GKABAR_Inflection.hoc (Figure 5 in Briant and Stalbovskiy et al. (2014)). 4. The influence of other IA parameters on the excitability and output of the model can be implemented by the reader by injecting a small, large amplitude current pulse (2ms, 2nA) and using the MATLAB code to measure AHP duration, amplitude etc. References: Whyment AD, Coderre E, Wilson JM, Renaud LP, O'Hare E, and Spanswick D. Electrophysiological, pharmacological and molecular profile of the transiently outward rectifying conductance in rat sympathetic preganglionic neurons in vitro. Neuroscience 178: 68-81, 2011. Briant, L. J. and Stalbovskiy, A. O. and Nolan, M. F. and Champneys, A. R. and Pickering, A. E. Increased intrinsic excitability of muscle vasoconstrictor preganglionic neurons may contribute to the elevated sympathetic activity in hypertensive rats J. Neurophysiol. Aug 2014