nest-simulator | spiking neural network models that focuses on the dynamics | Machine Learning library

 by   nest C++ Version: v2.14.2-rc1 License: GPL-2.0

kandi X-RAY | nest-simulator Summary

kandi X-RAY | nest-simulator Summary

nest-simulator is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Keras applications. nest-simulator has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. The development of NEST is coordinated by the NEST Initiative. General information on the NEST Initiative can be found at its homepage at
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              nest-simulator has a low active ecosystem.
              It has 472 star(s) with 337 fork(s). There are 32 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 96 open issues and 1111 have been closed. On average issues are closed in 315 days. There are 71 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nest-simulator is v2.14.2-rc1

            kandi-Quality Quality

              nest-simulator has no bugs reported.

            kandi-Security Security

              nest-simulator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              nest-simulator is licensed under the GPL-2.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

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              nest-simulator releases are available to install and integrate.

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            nest-simulator Key Features

            No Key Features are available at this moment for nest-simulator.

            nest-simulator Examples and Code Snippets

            No Code Snippets are available at this moment for nest-simulator.

            Community Discussions

            QUESTION

            Why is `total_num_virtual_procs` not equal to the amount of MPI processes?
            Asked 2020-Sep-11 at 11:25

            In the NEST simulator there is the concept of virtual processes. Reading the information on virtual processes I would expect every MPI process to contain at least 1 virtual process, otherwise that MPI process isn't doing anything?

            However, when I start 4 MPI processes the kernel status attribute total_num_virtual_procs is 1:

            ...

            ANSWER

            Answered 2020-Sep-11 at 11:25

            EDIT: TL;DR: The return value of nest.GetKernelStatus('total_num_virtual_procs') was buggy in former NEST versions. Recent versions show the correct number, which by default is one thread per process, so the number of MPI processes.

            The number of virtual processes is a free parameter of NEST because it uses a hybrid parallelization scheme with MPI + OpenMP. You may have multiple threads per process, each being its own virtual process, e.g. two processes and four VPs leads to two threads per process:

            Source https://stackoverflow.com/questions/63729214

            QUESTION

            How to set a Connection's synapse type in the NEST simulator?
            Asked 2020-Aug-06 at 19:26

            Following the tutorial for the Python interface to the NEST simulator I have created 2 neuron populations and connected them:

            ...

            ANSWER

            Answered 2020-Aug-06 at 19:26

            If I understand the question correctly, you want to connect neurons with specific connectivity patterns.

            The default connection pattern of nest.Connect is "all_to_all".

            More details about the available patterns are detailed in the Connect documentation.

            You can also see the available rules by calling nest.ConnectionRules().

            If you're using ipython or jupyter, you can get the docstring locally by typing nest.Connect?.

            EDIT: to change synapse type (how it transmits incoming signals), please see the "synapse types" documentation.

            You can find examples for tsodyks or quantal_stdp synapses.

            An example with your populations would be:

            Source https://stackoverflow.com/questions/63270027

            QUESTION

            How to install nest in Python3 on Ubuntu 18.04
            Asked 2019-Sep-12 at 15:30

            After following the Ubuntu/Debian installation instructions for the Nest simulator I can only import the nest module in python2.x, not python3.x

            ...

            ANSWER

            Answered 2019-Sep-12 at 15:30

            The default install compiles with the default Python version which is still 2 in Ubuntu. To use Python 3, run:

            Source https://stackoverflow.com/questions/57909894

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install nest-simulator

            You can download it from GitHub.

            Support

            You can run the help command in the NEST interpreter to find documentation and learn more about available commands.For queries regarding NEST usage, please use the NEST users mailing list.Information on the Python bindings to NEST can be found in ${prefix}/share/doc/nest/README.md.For those looking to extend NEST, developer documentation on Contributing to NEST is available.
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            https://github.com/nest/nest-simulator.git

          • CLI

            gh repo clone nest/nest-simulator

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            git@github.com:nest/nest-simulator.git

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