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BIOMD0000000127 - Izhikevich2003_SpikingNeuron

 

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Reference Publication
Publication ID: 18244602
Izhikevich EM.
Simple model of spiking neurons.
IEEE Trans Neural Netw 2003; 14(6): 1569-1572
The Neurosciences Inst., San Diego, CA, USA.  [more]
Model
Original Model: BIOMD0000000127.xml.origin
Submitter: Enuo He
Submission ID: MODEL4880479792
Submission Date: 28 Jul 2007 04:22:14 UTC
Last Modification Date: 05 Jul 2012 22:49:27 UTC
Creation Date: 16 Jul 2007 17:41:14 UTC
Encoders:  Enuo He
set #1
bqbiol:isVersionOf Gene Ontology neuronal action potential
Gene Ontology regulation of membrane potential
Gene Ontology action potential
set #2
bqbiol:occursIn Taxonomy Mammalia
Notes

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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In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.


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.

Model
Publication ID: 18244602 Submission Date: 28 Jul 2007 04:22:14 UTC Last Modification Date: 05 Jul 2012 22:49:27 UTC Creation Date: 16 Jul 2007 17:41:14 UTC
Mathematical expressions
Rules
Rate Rule (variable: v) Rate Rule (variable: U)    
Events
event_0000001 Stimulus    
Physical entities
Compartments Species
cell      
Global parameters
a b c d
Vthresh i v U
Reactions (0)
Rules (2)
 
 Rate Rule (name: v) d [ v] / d t= 0.04*v^2+5*v+140-U+i
 
 Rate Rule (name: U) d [ U] / d t= a*(b*v-U)
 
Events (2)
 
 event_0000001
v = c
U = U+d
 
 Stimulus
i = 10
 
  Spatial dimensions: 3.0  Compartment size: 1.0
Global Parameters (8)
 
   a
Value: 0.02
Constant
 
   b
Value: 0.2
Constant
 
   c
Value: -65.0
Constant
 
   d
Value: 8.0
Constant
 
   Vthresh
Value: 30.0
Constant
 
   i  
 
 v
Value: -70.0
 
   U
Value: -14.0
 
Representative curation result(s)
Representative curation result(s) of BIOMD0000000127

Curator's comment: (updated: 20 May 2010 17:02:48 PDT)

Reproduction of some of the results in figure 2 of the publication using Copasi 4.5.31.
Above each graph the parameter values altered for the specific neuron are given. The base parameters were a = 0.02, b = 0.2, c = -65 mV and d = 2.

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