Evidence map›Paper›PMID 31429824›Full record

ArticleeLife2019

Brian 2, an intuitive and efficient neural simulator.

Marcel Stimberg, Romain Brette, Dan Fm Goodman

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 254 papers.

0numbers the graph read from it
0cells of the map it votes in
254citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

254 citing papers in PubMed.

  1. Recovery from disorders of consciousness: Lesions and GABAergic modulation in a biologically inspired spiking neural network.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  8. Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  11. Controlling Spatio-Temporal Sequences of Neural Activity by Local Synaptic Changes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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194 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Marcel StimbergSorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France.ORCID 0000-0002-2648-4790
Romain Brette *Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France.ORCID 0000-0003-0110-1623
Dan Fm Goodman *Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.ORCID 0000-0003-1007-6474

Funding

Agence Nationale de la Recherche Axode ANR-14-CE13-0003Royal Society RG170298
6 · The paper itself

Abstract

Brian 2 allows scientists to simply and efficiently simulate spiking neural network models. These models can feature novel dynamical equations, their interactions with the environment, and experimental protocols. To preserve high performance when defining new models, most simulators offer two options: low-level programming or description languages. The first option requires expertise, is prone to errors, and is problematic for reproducibility. The second option cannot describe all aspects of a computational experiment, such as the potentially complex logic of a stimulation protocol. Brian addresses these issues using runtime code generation. Scientists write code with simple and concise high-level descriptions, and Brian transforms them into efficient low-level code that can run interleaved with their code. We illustrate this with several challenging examples: a plastic model of the pyloric network, a closed-loop sensorimotor model, a programmatic exploration of a neuron model, and an auditory model with real-time input.

Indexed as

Computer SimulationModels, NeurologicalNerve NetNeuronsSoftwarecomputational neuroscienceneurosciencenonesimulationsoftware

Identifiers

PMID31429824
PMCPMC6786860

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.