NEURON implementation of stochastic gating in the Khaliq-Raman Purkinje cell model. NEURON implementation of the De Schutter and Bower model of a Purkinje Cell. Matlab scripts to compute the Phase Response Curve (PRC). LCG configuration files to experimentally determine the PRC. Integrate and Fire models (leaky and non-leaky) implemented in BRIAN to see the influence of the PRC in a network of unconnected neurons receiving sparse common input.
Model Type: Neuron or other electrically excitable cell
Cell Type(s): Cerebellum Purkinje GABA cell
Model Concept(s): Phase Response Curves
Simulation Environment: NEURON; MATLAB; Brian; LCG; Python
Implementer(s): Couto, Joao [jpcouto at gmail.com]
References:
Couto J, Linaro D, De Schutter E, Giugliano M. (2015). On the firing rate dependency of the phase response curve of rat Purkinje neurons in vitro. PLoS computational biology. 11 [PubMed]
Linaro D, Couto J, Giugliano M. (2014). Command-line cellular electrophysiology for conventional and real-time closed-loop experiments. Journal of neuroscience methods. 230 [PubMed]