ROOTS: Ruled-Optimum Ordered Tree System

What is being modeled?
Construction of biologically realistic neural models
Description & purpose of resource

ROOTS is a package designed to take experimentally determined morphometric data and return an artificial neuronal arbor which satisfies the user-defined parameters.

 

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.

Spatial scales
cellular
tissue
Temporal scales
10-3 - 1 s
1 - 103 s
hours
This resource is currently
mature and useful in ongoing research
Has this resource been validated?
Yes
How has the resource been validated?

This resource was validated using a quantitative and qualitative analysis of the generative algorithms, and using a comparison of generated fibers with those observed in histological studies. 

More details are available in the publication: 

https://www.frontiersin.org/articles/10.3389/fncom.2020.00013/full#S10

Can this resource be associated with other resources? (e.g.: modular models, linked tools and platforms)
No
Key publications (e.g. describing or using resource)

ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling
Clayton S. Bingham, Adam Mergenthal, Jean-Marie C. Bouteiller, Dong Song, Gianluca Lazzi and Theodore W. Berger
Front. Comput. Neurosci., 21 February 2020

Collaborators
Gianluca Lazzi, Theodore W. Berger
PI contact information
lazzi@usc.edu
Keywords
MSM U01
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WG-10 - Discussion on Standards and Sharing

04Aug08: Steve Stevenson (steve@cs.clemson.edu)

A Tan Paper on Standards and Sharing [A “tan” paper is a not-so-clean white paper :-)] 

Analysis It seems to me that these two issues need to be de-convolved.

Standards are useful when ideas on not changing rapidly – the standards process is 'way too slow to react to the research environment. From the supercomputing side, here's two examples:

OpenSim Webinar - Automating OpenSim Workflows: An Intro to the OpenSim API in Matlab

The OpenSim project and the National Center for Simulation in Rehabilitation Research (NCSRR) at Stanford invite you to join our next webinar, featuring Christopher Dembia from Stanford University.

DETAILS
Title: Automating OpenSim Workflows: An Intro to the OpenSim API in Matlab
Speaker: Christopher Dembia, Stanford University
Time: Tuesday, July 7, 2020 10:00 a.m. Pacific Time