Neurokernel statistics

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Citations per year

Number of citations per year for the bioinformatics software tool Neurokernel
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Tool usage distribution map

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Neurokernel specifications

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Unique identifier OMICS_15869
Name Neurokernel
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Stability Stable
Requirements
NVIDIA's GPU drivers, CUDA, OpenMPI
Maintained Yes

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Versioning


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Documentation


Maintainer


  • person_outline Aurel Lazar

Publication for Neurokernel

Neurokernel citations

 (2)
library_books

Integrative biological simulation praxis: Considerations from physics, philosophy, and data/model curation practices

2017
PMCID: 5739097
PMID: 29296511
DOI: 10.1080/21592799.2017.1392400

[…] roject working towards a realistic, biophysical simulation of both the nervous system and body movement of C. elegans BlueBrain, an effort to build a detailed simulation of a rat cortical microcolumn NeuroKernel, an analogous project to OpenWorm for Drosophila melanogaster VirtualRat, a research program aimed at modeling the cardiovascular system of the rat and the related multi-decade efforts of […]

library_books

Generating Executable Models of the Drosophila Central Complex

2017
PMCID: 5447672
PMID: 28611607
DOI: 10.3389/fnbeh.2017.00102

[…] in NeuroArch may comprise local processing units that potentially contain different modeling components. To fuse these portions into a single executable model regardless of their internal design, the Neurokernel package defines a mandatory communication interface for neural circuit models exported by NeuroArch that enables their integration and execution on multiple graphics processing units (GPUs […]


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Neurokernel institution(s)
Department of Electrical Engineering, Columbia University, New York, NY, USA
Neurokernel funding source(s)
This work was supported by the Air Force Office of Scientific Research (AFOSR) grant #FA9550-12-10232, by the National Science Foundation (NSF) grant #1544383 and by the Professional Scholarship of the Engineering Graduate Student Council at Columbia University.

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