ModelDB: Efficient simulation of 3D reaction-diffusion in models of neurons (McDougal et al, 2022)

ModelDB is moving. Check out our new site at https://modeldb.science. The corresponding page is https://modeldb.science/267018.

Efficient simulation of 3D reaction-diffusion in models of neurons (McDougal et al, 2022)

Download zip file
Help downloading and running models

Model Information
Model File
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):

Download the displayed file

NEURON {
	POINT_PROCESS RxDSyn
	RANGE tau
}

PARAMETER {
	tau = 0.1 (ms) <1e-9,1e9>
}

STATE { g }

INITIAL { g=0 }

BREAKPOINT {SOLVE state METHOD cnexp}

DERIVATIVE state { g' = -g/tau }
NET_RECEIVE(weight) {
	g = g + weight
}

Loading data, please wait...