Dendrite arborization simulation
Generation of synthetic neurons with soma and dendrites.
Step 1: Generate new neurons
If you have previously selected a set of neurons, this will overwrite it.
Step 2: Get results
Complete step 1 first
Models information
The models are Gaussian Bayesian Networks trained with bnlearn.
The training database was made up of 80 pyramidal cortex human neurons and the features were extracted using L-Measure.
The following Bayesian Networks were obtained by training the models (the desc_ variables are the ones learned by the model):
(Click on the images to enlarge them)
Bayesian Network model to decide whether to bifurcate
Bayesian Network model for the first bifurcation
Bayesian Network model when the branch continues
Bayesian Network model when the branch bifurcates
