BioModelsapplication/xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=curation_notes.txthttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127.pdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127-biopax3.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127-biopax2.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127_url.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=manifest.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127.odehttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127-octave.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=curation_image.pnghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127-matlab.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127.pnghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=metadata.rdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000127?filename=BIOMD0000000127_url.sedmlprimaryOK200Enuo HeManually curatedordinary differential equation modelL2V4https://www.ebi.ac.uk/biomodels/BIOMD000000012718244602falseBioModelsSBMLModelsIzhikevich2003 SpikingNeuron2003MODEL4880479792E M IzhikevichE M Izhikevich18244602,
A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.. 6, 14.
The Neurosciences Inst., San Diego, CA, USA.enuo.he@wolfson.ox.ac.ukUniversity of OxfordBIOMD0000000127A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.Simple model of spiking neurons.Izhikevich E M EMfalseIzhikevich2003_SpikingNeuron
The model is according to the paper Simple Model of Spiking Neurons
In this paper, a simple spiking model is presented that is as biologically plausible as the Hodgkin-Huxley model, yet as computationally efficient as the integrate-and-fire model. Known types of neurons correspond to different values of the parameters a,b,c,d in the model. Figure2RS,IB,CH,FS,LTS have been simulated by MathSBML. RS: a=0.02, b=0.2, c=-65, d=8.
IB: a=0.02,b=0.2,c=-55,d=4
CH: a=0.02,b=0.2,c=-50,d=2
FS:a=0.1b=0.2c=-65,d=2
LTS:a=0.02,b=0.25,c=-65,d=2
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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.
2024-08-212024-09-022007-07-27BIOMD000000012718244602MODEL4880479792BIOMD0000000127GO:0005623GO:0001508GO:0042391GO:0019228GO:0043268GO:0002028GO:0060075GO:0030322GO:005098140674