claytonbingham Goto Github PK
Name: Clayton S. Bingham
Type: User
Company: Duke University
Twitter: claytonsbingham
Name: Clayton S. Bingham
Type: User
Company: Duke University
Twitter: claytonsbingham
This script is used to support the addition of biologically realistic jitter to curves based on histological data. The basic principle of this method is to utilized hypothetical growth cones to control the meander angles which are added in the new line. This is preferable to random jitter which can add extreme meander angles and overlapping segments if not properly controlled. AGCS can be better used to control the parametric distribution of meander angles without disrupting the distribution of segment lengths beyond that which is reasonable.
Evolutionary Neuronal Biophysics Optimization (ENBO) is unpublished work performed by Clayton Bingham, PhD in 2022 to support numerous related projects.
This repository includes all the novel models and morphologies required to reproduce the data and results in
Human L5 Cortical Neuron Model
This repository describes and makes available all anatomical data corresponding to the publication "Histology-driven model of the macaque motor hyperdirect pathway." accepted for publication in Brain Structure and Function (2021).
Neurospice v1.0 comprises a Python library to support automated construction of a mesh and field solution with user defined current sources as the input. This library could be used to support in silico estimation of Local Field Potentials where activated neuronal models are used to generate extracellular potentials.
nii2surface takes a nifti brain image stack, identifies a particular target voxel value (perhaps a label from an atlas) and creates a surface from the labeled voxels using Poisson Surface Reconstruction. If you use this class in your own work, kindly cite: "Bingham C.S., Parent M., McIntyre, C.C. Histology-Driven Model of the Macaque Hyperdirect Pathway. In Review."
Roots is a package designed to take experimentally determined morphometric data and return an artificial neuronal arbor which satisfies the user-defined parameters.
SWCToolkit is a package designed to facilitate virtual interaction with experimentally reconstructed morphologies documented in the standard SWC file format (i.e. neuromorpho). Originally this package was written to aid the construction of biologically realistic neural models for use in computational studies of extracellular electrical stimulation but it can be used for diverse neural modeling problems.
SWCVisualization is a package designed to facilitate virtual interaction with experimentally reconstructed morphologies documented in the standard SWC file format (i.e. neuromorpho). Originally this package was written to aid the construction of biologically realistic neural models for use in computational studies of extracellular electrical stimulation but it can be used for diverse neural modeling problems.
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