metaid_0000011
constant: true
value: 30.0
type: Parameter

metaid_0000015
constant: false
value: 63.8
type: Parameter

metaid_0000017
constant: false
value: 80.0
type: Parameter

metaid_0000019
event assignment: 954884
trigger: 954872
use values from trigger time: true
type: Event

954872
persistant: true
initial value: true
type: Trigger

metaid_0000006
constant: true
value: -60.0
type: Parameter

954896
persistant: true
initial value: true
type: Trigger

metaid_0000004
constant: true
value: -0.02
type: Parameter

metaid_0000012
event assignment: 954860
event assignment: 954848
trigger: 954836
use values from trigger time: true
type: Event

metaid_0000018
event assignment: 954908
trigger: 954896
use values from trigger time: true
type: Event

metaid_0000020
constant: false
value: -63.8
type: Parameter

954836
persistant: true
initial value: true
type: Trigger

metaid_0000007
constant: true
value: 8.0
type: Parameter

BIOMD0000000129
parameter: metaid_0000015
parameter: metaid_0000011
is version of: GO:0019228
is version of: GO:0001508
creator:
  ORG:
    orgname: BNMC
  n:
    given: Enuo
    family: He
time units: metaid_0000018
event: metaid_0000012
rule: metaid_0000021
rule: metaid_0000016
parameter: metaid_0000007
parameter: metaid_0000020
length unit: length
substance units: metaid_0000099
parameter: metaid_0000005
is: MODEL5575430623
area units: metaid_0000005
curated: true
occurs in: http://identifiers.org/taxonomy/40674
name: Izhikevich2004_SpikingNeurons_inhibitionInducedSpiking
is version of: GO:0042391
is described by: http://identifiers.org/pubmed/15484883
parameter: metaid_0000006
created:
  W3 CDTF: Mon Jul 16 10:41:14 BST 2007
type: SBMLModel
parameter: metaid_0000017
parameter: metaid_0000004
volume units: metaid_0000084
event: metaid_0000019
compartment: metaid_0000003
notes: 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(S) inhibition-induced spiking 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=-0.02; b=-1; c=-60; d=8; V=-63.8; 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.
modified:
  W3 CDTF: Wed May 16 11:10:56 BST 2012
event: metaid_0000018

metaid_0000003
is version of: GO:0005623
constant: true
size: 1.0
spatial dimensions: 3.0
type: Compartment

metaid_0000005
constant: true
value: -1.0
type: Parameter