Izhikevich2004_SpikingNeurons_thresholdVariability

View the 2011-03 Model of the Month entry for this model
Model Identifier
BIOMD0000000136
Short description

This a model from the article:
Which model to use for cortical spiking neurons?
Izhikevich EM. IEEE Trans Neural Netw.2004 Sep;15(5):1063-70. 15484883,
Abstract:
We discuss the biological plausibility and computational efficiency of some of the most useful models of spiking and bursting neurons. We compare their applicability to large-scale simulations of cortical neural networks.

The model is according to the paperWhich Model to Use for Cortical Spiking Neurons? Figure1(O) threshold variability has been reproduced by MathSBML. The ODE and the parameters values are taken from the a paper Simple Model of Spiking NeuronsThe original format of the models are encoded in the MATLAB format existed in the ModelDB with Accession number 39948

Figure1 are the simulation results of the same model with different choices of parameters and different stimulus function or events.a=0.03; b=0.25; c=-60; d=4; V=-64; u=b*V;

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To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.

Format
SBML (L2V4)
Related Publication
  • Which model to use for cortical spiking neurons?
  • Eugene M Izhikevich
  • IEEE transactions on neural networks , 9/ 2004 , Volume 15 , Issue 5 , pages: 1063-1070 , PubMed ID: 15484883
Contributors
Submitter of the first revision: Enuo He
Submitter of this revision: Lucian Smith
Curator: Lucian Smith
Modeller: Enuo He

Metadata information

is (2 statements)
BioModels Database BIOMD0000000136
BioModels Database MODEL5574885679

isDescribedBy (1 statement)
PubMed 15484883

hasTaxon (1 statement)
Taxonomy Mammalia

isVersionOf (1 statement)
hasProperty (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model


Curation status
Curated


Connected external resources