ModelDB: Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016)

Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016)

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Accession:206364

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.
Reference:
1 . Buchin A, Rieubland S, Häusser M, Gutkin BS, Roth A (2016) Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS Comput Biol 12:e1005000 [PubMed]

Model Information (Click on a link to find other models with that property)

Model Type:	Synapse; Neuron or other electrically excitable cell;
Brain Region(s)/Organism:	Cerebellum;
Cell Type(s):	Cerebellum Purkinje GABA cell; Abstract integrate-and-fire leaky neuron; Abstract integrate-and-fire adaptive exponential (AdEx) neuron;
Channel(s):
Gap Junctions:
Receptor(s):	Gaba; Glutamate;
Gene(s):
Transmitter(s):	Glutamate; Gaba;
Simulation Environment:	MATLAB; NEURON; XPPAUT;
Model Concept(s):	Information transfer; Activity Patterns; Synaptic noise; Oscillations;
Implementer(s):	Roth, Arnd ; Buchin, Anatoly [anat.buchin at gmail.com];