Prediction of Neural Diameter From Morphology to Enable Accurate Simulation.

ABSTRACT: Accurate neuron morphologies are paramount for computational model simulations of realistic neural responses. Over the last decade, the online repository NeuroMorpho.Org has collected over 140,000 available neuron morphologies to understand brain function and promote interaction between experimental and computational research. Neuron morphologies describe spatial aspects of neural structure; however, many of the available morphologies do not contain accurate diameters that are essential for computational simulations of electrical activity. To best utilize available neuron morphologies, we present a set of equations that predict dendritic diameter from other morphological features. To derive the equations, we used a set of NeuroMorpho.org archives with realistic neuron diameters, representi

SUBMITTER: Reed JD 

PROVIDER: S-EPMC8209307 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature