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ascent's Introduction

Funding: NIH SPARC OT2 OD025340

drawing

Cite the code (use the DOI for the version of code used): DOI
Musselman ED, Cariello JE, Grill WM, Pelot NA. ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A Pipeline for Sample-Specific Computational Modeling of Electrical Stimulation of Peripheral Nerves. PLoS Comput Biol [Internet]. 2021, DOI: 10.5281/zenodo.5365774

Cite the paper:
Musselman ED, Cariello JE, Grill WM, Pelot NA. ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A Pipeline for Sample-Specific Computational Modeling of Electrical Stimulation of Peripheral Nerves. PLoS Comput Biol [Internet]. 2021; Available from: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009285

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  2. A custom license with Duke University, for commercial use or for use without the MIT license restrictions.

As a recipient of this software, you may choose which license to receive the code under. Outside contributions to the Duke owned code base cannot be accepted unless the contributor transfers the copyright to those changes over to Duke University.

To enter a custom license agreement without the MIT license restrictions, please contact the Digital Innovations department at Duke Office for Translation & Commercialization (https://olv.duke.edu/software/) at [email protected] with reference to โ€œOTC File No. 7483โ€ in your email.

Please note that this software is distributed AS IS, WITHOUT ANY WARRANTY; and without the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

--

  1. MIT License (for non-commercial use only)

Copyright (c) 2021 Duke University

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