Reconstructed neuron (cerebellar, hippocampal, striatal) sims using predicted diameters (Reed et al)

Many neuron morphologies in do not contain accurate dendritic diameters that are needed for simulations. We used a set of archives which did have realistic morphologies to derive equations predicting dendritic diameter, and to create morphologies using the predictions. The equations and new morphologies are derived by 1. extracting morphology features from swc files ( 2. using multiple regression to derive equations predicting diameter, ( ) 3. using the equations to create the new morphology files from original swc file ( The python programs are all available from We simulated the original morphologies and the morphologies with predicted diameter in Moose, evaluating the response to current injection and synaptic input. The code provided implements those simulations

Model Type: Neuron or other electrically excitable cell

Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Cerebellum Purkinje GABA cell; Striatal projection neuron

Receptors: AMPA

Simulation Environment: MOOSE/PyMOOSE

Implementer(s): Blackwell, Avrama [avrama at]; Reed, Jonathon


Reed JD, Blackwell KT. (2021). Prediction of Neural Diameter From Morphology to Enable Accurate Simulation. Frontiers in neuroinformatics. 15 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.