The NeuralEnsemble Docker images for biological neuronal network simulations with Python have been updated to contain NEST 2.10, NEURON 7.4, Brian 2.0rc1 and PyNN 0.8.1.
In addition, the default images (which are based on NeuroDebian Jessie) now use Python 3.4. Images with Python 2.7 and Brian 1.4 are also available (using the "py2" tag). There is also an image with older versions (NEST 2.2 and PyNN 0.7.5).
The images are intended as a quick way to get simulation projects up-and-running on Linux, OS X and Windows. They can be used for teaching or as the basis for reproducible research projects that can easily be shared with others.
The images are available on Docker Hub.
To quickly get started, once you have Docker installed, run
docker pull neuralensemble/simulation
docker run -i -t neuralensemble/simulation /bin/bash
For Python 2.7:
docker pull neuralensemble/simulation:py2
For older versions:
docker pull neuralensemble/pynn07
For ssh/X11 support, use the "simulationx" image instead of "simulation". Full instructions are available here.
If anyone would like to help out, or suggest other tools that should be installed, please contact me, or open a ticket on Github.
In addition, the default images (which are based on NeuroDebian Jessie) now use Python 3.4. Images with Python 2.7 and Brian 1.4 are also available (using the "py2" tag). There is also an image with older versions (NEST 2.2 and PyNN 0.7.5).
The images are intended as a quick way to get simulation projects up-and-running on Linux, OS X and Windows. They can be used for teaching or as the basis for reproducible research projects that can easily be shared with others.
The images are available on Docker Hub.
To quickly get started, once you have Docker installed, run
docker pull neuralensemble/simulation
docker run -i -t neuralensemble/simulation /bin/bash
For Python 2.7:
docker pull neuralensemble/simulation:py2
For older versions:
docker pull neuralensemble/pynn07
For ssh/X11 support, use the "simulationx" image instead of "simulation". Full instructions are available here.
If anyone would like to help out, or suggest other tools that should be installed, please contact me, or open a ticket on Github.
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