BrainPharm: Computational model - Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) (pylab)

Computational model

Data

Name

Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) (pylab)

Submitter name

Pipeline ID

Model File

StochasticHH [?]

Notes

A pylab version from Alan Leggitt for simulating different channel noise models using the Hodgkin-Huxley equations. Methods provided and reviewed in Goldwyn and Shea-Brown (2011) are: current noise, subunit noise, conductance noise, and Markov chain, as well as the standard deterministic Hodgkin-Huxley model.

Model Neurons

More Cells

Hodgkin-Huxley neuron Show Other

Model Currents

Model Receptors

Model Type

Neuron or other electrically excitable cell Show Other

Model Concept

Action Potential Initiation Show Other
Ion Channel Kinetics Show Other
Action Potentials Show Other
Markov-type model Show Other

Simulator software

Python Show Other

Model papers

Goldwyn JH, Shea-Brown E (2011) Show Other

Gene

hg folder name (applicable when in ModelDB hg)

Region Organism

Model ID Number

Gap Junctions

Implemented by

Leggitt, Alan [alan.leggitt at ucsf.edu] Show Other

Public Submitter Email Address

Other Neuron

Model Neurotransmitters

Other Receptor

Other Current

Other Neurotransmitter

Other Model Type

Other Concept

Other Simulator

Other Implementer

Alternative Version

Citation

Default File Notes

Other Gene

Simulation Platform ID

Has Model View

False

Component

RAM

Hide Auto-launch button

False

Run Protocols

ICG Channel Details

Species

Other categories referring to Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) (pylab)

Revisions:	7
Last Time:	2/26/2018 11:39:57 AM
Reviewer:	Tom Morse - MoldelDB admin
Owner:	Tom Morse - MoldelDB admin