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Determinants of fast calcium dynamics in dendritic spines and dendrites (Cornelisse et al. 2007)
 
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Model Information
Model File
Citations
Accession:
97903
"... Calcium influx time course and calcium extrusion rate were both in the same range for spines and dendrites when fitted with a dynamic multi-compartment model that included calcium binding kinetics and diffusion. In a subsequent analysis we used this model to investigate which parameters are critical determinants in spine calcium dynamics. The model confirmed the experimental findings: a higher SVR (surface-to-volume ratio) is not sufficient by itself to explain the faster rise time kinetics in spines, but only when paired with a lower buffer capacity in spines. Simulations at zero calcium-dye conditions show that calmodulin is more efficiently activated in spines, which indicates that spine morphology and buffering conditions in neocortical spines favor synaptic plasticity. ..."
Reference:
1 .
Cornelisse LN, van Elburg RA, Meredith RM, Yuste R, Mansvelder HD (2007) High speed two-photon imaging of calcium dynamics in dendritic spines: consequences for spine calcium kinetics and buffer capacity.
PLoS One
2
:e1073
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Synapse;
Dendrite;
Brain Region(s)/Organism:
Cell Type(s):
Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
CalC Calcium Calculator;
Model Concept(s):
Calcium dynamics;
Implementer(s):
van Elburg, Ronald A.J. [R.van.Elburg at ai.rug.nl];
Search NeuronDB
for information about:
Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell
;
/
PLoSOne
Output
Exp3
Exp4
Exp4D
Exp7A
Exp7B
ExpB8A
ExpB8B
ExpB8E
ExpB8F
ExpB8Gb
ExpB8Hb
ExpDtGamma
ExpDtGammaII
ExpEndoDt
ExpKdEndo
ExpKdEndoTraces
ExpKOnKOff
ExpKOnKOffTraces
ExpSVREndo
ExpSVREndoCalmod
ExpSVREndoCalmodTraces
ExpSVREndoTraces
ExpXDiffKOn
ExpXDiffKOnTraces
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