ArticleFrontiers in neuroinformatics2022
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance.
Article in Frontiers in neuroinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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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.
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Who cites it
29 citing papers in PubMed.
- The Cerebellar Connectome.Cerebellum (London, England) · 2026Article
- Histologically Informed Multiscale Modeling of the Neuronal Elements Activated by TMS.bioRxiv : the preprint server for biology · 2026Article
- Accurately fitting biophysical neuron models to experimental voltage data enabled by meta-learning.Research square · 2026Article
- One model to rule them all: Unification of voltage-gated potassium channel models via deep non-linear mixed effects modelling.PLoS computational biology · 2026Article
- Plastic Arbor: A modern simulation framework for synaptic plasticity-From single synapses to networks of morphological neurons.PLoS computational biology · 2026Article
- Spark: modular spiking neural networks.Frontiers in artificial intelligence · 2026Article
- Differentiable simulation expands frontiers for biophysical neural models.Nature methods · 2025Article
- A 3D-1D-0D multiscale model of the neuro-glial-vascular unit for synaptic and vascular dynamics in the dorsal vagal complex.Journal of mathematical biology · 2025Article
- Closed-Loop Connectivity Best Supports Angular Tuning and Sleep Dynamics in a Biophysical Thalamocortical Circuit Model.bioRxiv : the preprint server for biology · 2025Article
- Enhanced beta power emerges from simulated parkinsonian primary motor cortex.NPJ Parkinson's disease · 2025Article
- Enhanced beta power emerges from simulated parkinsonian primary motor cortex.bioRxiv : the preprint server for biology · 2025Article
- Article
- Rare dysfunctional SCN2A variants are associated with malformation of cortical development.Epilepsia · 2025Article
- Biophysical modelling of intrinsic cardiac nervous system neuronal electrophysiology based on single-cell transcriptomics.The Journal of physiology · 2025Article
- Recent advances in facilitating the translation of bioelectronic medicine therapies.Current opinion in biomedical engineering · 2025Article
- Article
- Community-based reconstruction and simulation of a full-scale model of the rat hippocampus CA1 region.PLoS biology · 2024Article
- Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Multitask learning of a biophysically-detailed neuron model.PLoS computational biology · 2024Article
- Innate Orientating Behavior of a Multi-Legged Robot Driven by the Neural Circuits ofBiomimetics (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
The need for reproducible, credible, multiscale biological modeling has led to the development of standardized simulation platforms, such as the widely-used NEURON environment for computational neuroscience. Developing and maintaining NEURON over several decades has required attention to the competing needs of backwards compatibility, evolving computer architectures, the addition of new scales and physical processes, accessibility to new users, and efficiency and flexibility for specialists. In order to meet these challenges, we have now substantially modernized NEURON, providing continuous integration, an improved build system and release workflow, and better documentation. With the help of a new source-to-source compiler of the NMODL domain-specific language we have enhanced NEURON's ability to run efficiently, via the CoreNEURON simulation engine, on a variety of hardware platforms, including GPUs. Through the implementation of an optimized in-memory transfer mechanism this performance optimized backend is made easily accessible to users, providing training and model-development paths from laptop to workstation to supercomputer and cloud platform. Similarly, we have been able to accelerate NEURON's reaction-diffusion simulation performance through the use of just-in-time compilation. We show that these efforts have led to a growing developer base, a simpler and more robust software distribution, a wider range of supported computer architectures, a better integration of NEURON with other scientific workflows, and substantially improved performance for the simulation of biophysical and biochemical models.
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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 Socratic graph.