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Efficient simulation of 3D reaction-diffusion in models of neurons (McDougal et al, 2022)
 
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Citations
Accession:
267018
Validation, visualization, and analysis scripts for NEURON's 3D reaction-diffusion support.
Reference:
1 .
McDougal RA, Conte C, Eggleston L, Newton AJH, Galijasevic H (2022) Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks
Front. Neuroinform.
Model Information
(Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Python;
Model Concept(s):
Methods;
Reaction-diffusion;
Implementer(s):
/
code
swc
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Fig5C.CNG.swc.txt
glia_4090.CNG.swc.txt
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Mouse_CA2_Ma_Cell_5.CNG.swc.txt
RatS1-6-107.CNG.swc.txt
RP4_scaled.CNG.swc.txt
WT-iPS-derived-cell-12MR.CNG.swc.txt
WT-mPFC-A-20X-3-2.CNG.swc.txt
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