This code shows the simulations of the adaptive exponential integrate-and-fire model (http://www.scholarpedia.org/article/Adaptive_exponential_integrate-and-fire_model) at different stimulus conditions. The parameters of the model were tuned to the Purkinje cell of cerebellum to reproduce the inhibiion of these cells by noisy current injections. Similar experimental protocols were also applied to the detailed biophysical model of Purkinje cells, de Shutter & Bower (1994) model. The repository also includes the XPPaut version of the model with the corresponding bifurcation analysis.
Model Type: Synapse; Neuron or other electrically excitable cell
Region(s) or Organism(s): Cerebellum
Cell Type(s): Cerebellum Purkinje GABA cell; Abstract integrate-and-fire leaky neuron; Abstract integrate-and-fire adaptive exponential (AdEx) neuron
Model Concept(s): Information transfer; Activity Patterns; Synaptic noise; Oscillations
Simulation Environment: MATLAB; NEURON; XPPAUT
Implementer(s): Roth, Arnd ; Buchin, Anatoly [anat.buchin at gmail.com]
Buchin A, Rieubland S, Häusser M, Gutkin BS, Roth A. (2016). Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS computational biology 12 [PubMed]