PyNN protocols

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PyNN specifications

Information


Unique identifier OMICS_15876
Name PyNN
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License CeCILL version 2.1
Computer skills Advanced
Version 0.8.2
Stability Beta
Maintained Yes

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  • person_outline Andrew Davison <>

Publication for PyNN

PyNN in pipeline

2015
PMCID: 4396193
PMID: 25926788
DOI: 10.3389/fninf.2015.00011

[…] which in turn has the potential to enhance the transfer of technology, knowledge and models between users of the different simulators, and to promote model reuse. davison et al. () describe pynn, a common python interface to multiple simulators, which enables the same modeling and simulation script to be run on any supported simulator without modification. at the time of writing, pynn […]


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PyNN in publications

 (16)
PMCID: 5938413
PMID: 29765315
DOI: 10.3389/fninf.2018.00020

[…] to testing and comparing the simulation tools, we discuss the flexibility of simulation tools to implement user-defined model components. we tested the common tools, nest (version 2.8.0) with pynn (version 0.8.0) used as an interface and brian (version 2.0). all of the tested packages are well documented and additional support is offered through user groups. the general tendency […]

PMCID: 5911506
PMID: 29713272
DOI: 10.3389/fninf.2018.00018

[…] used frameworks include travis ci (continuous integration), circle ci, jenkins, and appveyor., whenever possible, use reliable model development platforms such as nest, brian, neuron, moose, nengo, pynn, etc. this will increase the likelihood of accurate simulation and will enhance sharing. similarly, model components should be taken from reliable databases of morphologies, channels […]

PMCID: 5902707
PMID: 29692702
DOI: 10.3389/fnins.2018.00213

[…] will only use this function when all the dsps have been used., along with the hardware platform, we also developed a simple application programming interface (api) in python that is similar to the pynn programming interface (davison et al., ). this api is very similar to the high-level object-oriented interface that has been defined in the pynn specification: it allows users to specify […]

PMCID: 5469895
PMID: 28659756
DOI: 10.3389/fnins.2017.00341

[…] suitable because we had fixed time bins (the simulation steps) and a small δt (1 ms). at the end of the implementation procedure, the model, developed in c, could be instantiated from the spinnaker pynn frontend (davison et al., ). as for the nest implementation, we had to add a boolean flag to switch between primary and secondary afferent activity. in this case, developing two different models […]

PMCID: 4609756
PMID: 26539076
DOI: 10.3389/fnins.2015.00380

[…] to experimentally recorded data on a behavioral task., in contrast, ehrlich et al. () and brüderle et al. () have presented a set of benchmarks that target the facets neuromorphic system through the pynn python package. these benchmarks include an attractor-based memory model, a model of self-sustained ai states, and a synfire chain, all of which are directly related to neuroscientific […]


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PyNN institution(s)
Unité de Neurosciences Intégratives et Computationelles, CNRS Gif sur Yvette, France
PyNN funding source(s)
This work was supported by the European Union (FACETS project, FP6-2004-IST-FETPI-015879), and by the German Federal Ministry of Education and Research (BMBF grant 01GQ0420, Freiburg).

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