Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
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This directory contains files to reproduce results presented in the paper: Linaro, D., Storace, M., and Giugliano, M. "Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation". The subdirectories contain the following items. 1. C++ contains the source files for simulating the open-close kinetics of sodium and potassium ion channels. The programs allow to simulate the models discussed in the paper in the condition of voltage clamp. 2. mod-files contains the mod-files that can be used in NEURON to simulate the full models. 3. python contains a script, HHneuron.py, that allows to simulate the models implemented through mod-files. 4. matlab contains some auxiliary Matlab scripts that can be used to read data files and produce raster plots. 5. supplem contains the Matlab scripts employed to generate the figures and analysis, included as Supplemental Material. For any question, feel free to contact: daniele.linaro@unige.it, marco.storace@unige.it, and michele.giugliano@ua.ac.be
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Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
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