BioModelsapplication/xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=curation_notes.txthttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133.pdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133-biopax3.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133-biopax2.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133_url.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=manifest.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=metadata.rdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133_url.sedmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133-matlab.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=curation_image.pnghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133-octave.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000133?filename=BIOMD0000000133.pngprimaryOK200Enuo HeManually curatedordinary differential equation modelL2V4https://www.ebi.ac.uk/biomodels/BIOMD000000013315484883falseBioModelsSBMLModelsIzhikevich2004 SpikingNeurons resonator2004MODEL5571517474Eugene M IzhikevichEugene M Izhikevich15484883, 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.. 5, 15. The Neurosciences Institute, San Diego, CA 92121, USA. Eugene.Izhikevich@nsi.eduenuo.he@wolfson.ox.ac.ukUniversity of OxfordBIOMD0000000133We 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.Which model to use for cortical spiking neurons?Izhikevich Eugene M EMfalseIzhikevich2004_SpikingNeurons_resonator 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 paper Which Model to Use for Cortical Spiking Neurons? Figure1(K) resonator has been reproduced by MathSBML. The ODE and the parameters values are taken from the a paper Simple Model of Spiking Neurons The 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=0.1; b=0.26; c=-60; d=-1; V=-62; u=b*V; This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team. For more information see the terms of use . 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. 2024-08-212024-09-022007-08-08BIOMD000000013315484883MODEL5571517474BIOMD0000000133GO:0005623GO:001922840674