ArticlePLoS computational biology2025
PyFibers: An open-source NEURON-Python package to simulate responses of model nerve fibers to electrical stimulation.
Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Accelerating the development of bioelectronic medicine: outcomes and innovations from the NIH SPARC initiative.Bioelectronic medicine · 2026Review
- Computational modeling of human vagus nerve stimulation with three-dimensional fascicular morphology.APL bioengineering · 2026Article
- The human vagal complex: from gross anatomy to single neurons, from brainstem to abdomen.Research square · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Computational modeling of peripheral nerve fibers is a key tool for designing improved neuromodulation therapies. The NEURON software is commonly used to create biophysical simulations of nerve fibers, often in the outdated HOC language. Whether written in HOC or Python, implementing fiber simulations involves a steep learning curve and requires a large amount of standard, boilerplate code that is typically written anew for each project. There is a need for a code package that standardizes and simplifies the creation of model fibers, the execution of simulations of electrical stimulation, and the analysis of the resulting data. We created PyFibers, a NEURON-Python package that provides tools for accomplishing all these tasks and supports the development of new fiber models and stimulation protocols. PyFibers includes 11 fiber models from prior publications under a shared framework, and we validated each model's implementation in PyFibers against the original results. Our open-source tool simplifies and standardizes computational modeling of peripheral nerve fiber responses to electrical stimulation, providing a platform for the development of novel therapies using electrical stimulation, block, and recording.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.