Evidence map›Paper›PMID 31803040›Full record

ArticleFrontiers in neuroinformatics2019

Enabling Large-Scale Simulations With the GENESIS Neuronal Simulator.

Joshua C Crone, Manuel M Vindiola, Alfred B Yu, David L Boothe, David Beeman, Kelvin S Oie, Piotr J Franaszczuk

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Joshua C CroneComputational and Information Sciences Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, United States.
Manuel M VindiolaComputational and Information Sciences Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, United States.
Alfred B YuHuman Research and Engineering Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, United States.
David L BootheHuman Research and Engineering Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, United States.
David BeemanDepartment of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, CO, United States.
Kelvin S OieHuman Research and Engineering Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, United States.
Piotr J FranaszczukHuman Research and Engineering Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we evaluate the computational performance of the GEneral NEural SImulation System (GENESIS) for large scale simulations of neural networks. While many benchmark studies have been performed for large scale simulations with leaky integrate-and-fire neurons or neuronal models with only a few compartments, this work focuses on higher fidelity neuronal models represented by 50-74 compartments per neuron. After making some modifications to the source code for GENESIS and its parallel implementation, PGENESIS, particularly to improve memory usage, we find that PGENESIS is able to efficiently scale on supercomputing resources to network sizes as large as 9 × 10

Indexed as

computational neurosciencehigh performance computinglarge-scale simulationmulti-compartment neuron modelmultiscale modelingspiking neuronal network

Identifiers

PMID31803040
PMCPMC6873326

What OpenQuestion holds

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Registered trials

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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.