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    "info": {
        "author": "The PyPe9 Team (see AUTHORS)",
        "author_email": "tom.g.close@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
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            "Topic :: Scientific/Engineering"
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        "description": "Pype9\n=====\n\n.. image:: https://travis-ci.org/NeuralEnsemble/pype9.svg?branch=master\n    :target: https://travis-ci.org/NeuralEnsemble/pype9\n.. image:: https://coveralls.io/repos/github/NeuralEnsemble/pype9/badge.svg?branch=master\n    :target: https://coveralls.io/github/NeuralEnsemble/pype9?branch=master\n.. image:: https://img.shields.io/pypi/pyversions/pype9.svg\n    :target: https://pypi.python.org/pypi/pype9/\n    :alt: Supported Python versions\n.. image:: https://img.shields.io/pypi/v/pype9.svg\n    :target: https://pypi.python.org/pypi/pype9/\n    :alt: Latest Version    \n.. image:: https://readthedocs.org/projects/pype9/badge/?version=latest\n    :target: http://pype9.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status \n\nPYthon PipelinEs for 9ML (Pype9) is a collection of Python pipelines\nfor simulating networks of neuron models described in NineML_ with various\nsimulator backends.\n\n\nLinks\n-----\n\n* Documentation: http://pype9.readthedocs.org\n* Mailing list: `NeuralEnsemble Google Group`_\n* Issue tracker: https://github.com/NeuralEnsemble/pype9/issues\n\n\nSupported Simulators\n--------------------\n\nPype9 works with either or both of the following simulator backends\n\n* Neuron_ >= 7.3\n* NEST_ >= 2.12.0\n\nDetailed instructions on how to install these simulators on different platforms\ncan be found in the `Installation documentation`_.\n\n\nUnsupported NineML\n------------------\n\nNineML_ aims to be a comprehensive description language for neural simulation. This\nmeans that it allows the expression of some uncommon configurations that are\ndifficult to implement in Neuron_ and NEST_. Work is planned to make the NEURON\nand NEST pipelines in Pype9 support NineML_ fully, however until then the\nfollowing restrictions apply to models that can be used with Pype9.\n\n* synapses must be linear\n* synapses can only have one variable that varies over a projection (e.g.\n  weight)\n* no recurrent analog connections between populations (e.g. gap junctions)\n* only one event send port per cell\n* names given to NineML_ elements are not escaped and therefore can clash with\n  built-in keywords and some PyPe9 method names (e.g. 'lambda' is a reserved\n  keyword in Python). Please avoid using names that clash with C++ or Python\n  keywords (NB: This will be fixed in future versions).\n\n\nExamples\n--------\n\nGiven a cell model described in NineML_ saved in\n``my_hodgkin_huxley.xml``, the simulator pipeline can run from the command line:\n\n.. code-block:: bash\n\n   $ pype9 simulate my_hodgkin_huxley.xml#hh_props neuron 100.0 0.01 \\\n     --play isyn isyn.neo.pkl --record v v.neo.pkl --init_value v -65.0 mV\n\nor in a Python script\n\n.. code-block:: python\n\n   from pype9.simulator.neuron import cell, Simulation\n   from nineml import units as un\n\n   HodgkinHuxley = cell.MetaClass('my_hodgkin_huxley.xml#hh_class')\n   with Simulation(dt=0.01 * un.ms, seed=1234) as sim: \n      hh = HodgkinHuxley('my_hodgkin_huxley.xml#hh_props', v=-65.0 * un.mV)\n      hh.record('v')\n      sim.run(100.0 * un.ms)\n   v = hh.recording('v')\n\nPype9 also supports network models described in NineML_ via integration with PyNN_\n\n.. code-block:: bash\n\n   $ pype9 simulate brunel.xml nest 1000.0 0.01 \\\n     --record Exc.spike_output Exc-nest.neo.pkl \\\n     --record Inh.spike_output Inh-nest.neo.pkl \\\n     --seed 12345\n\nor\n\n.. code-block:: python\n\n   from pype9.simulator.neuron import Network, Simulation\n   from nineml import units as un\n\n   with Simulation(dt=0.01 * un.ms, seed=1234) as sim: \n      brunel_ai = Network('brunel.xml#AI')\n      brunel_ai.component_array('Exc').record('spike_output')\n      brunel_ai.component_array('Inh').record('spike_output')\n      sim.run(1000.0 * un.ms)\n   exc_spikes = brunel_ai.component_array('Exc').recording('spike_output')\n   inh_spikes = brunel_ai.component_array('Inh').recording('spike_output')\n\nSee `Creating Simulations in Python`_ in the Pype9 docs for more examples and pipelines.\n\nIn addition to the ``simulate`` command there is also a ``plot`` command for\nconveniently plotting the results of the simulation with Matplotlib_,\nand a ``convert`` command to convert NineML_ files between different serialization\nformats (XML, YAML, JSON and HDF5) and NineML_ versions (1.0 and 2.0dev). See the\ndocumentation for details.\n\n\n:copyright: Copyright 20012-2016 by the Pype9 team, see AUTHORS.\n:license: MIT, see LICENSE for details.\n\n.. _PyNN: http://neuralensemble.org/docs/PyNN/\n.. _`NeuralEnsemble Google Group`: https://groups.google.com/forum/#!forum/neuralensemble\n.. _Matplotlib: http://matplotlib.org\n.. _`Creating Simulations in Python`: http://pype9.readthedocs.io/latest/scripting.html\n.. _`Installation documentation`: http://pype9.readthedocs.io/en/latest/installation.html\n.. _NineML: http://nineml.net\n.. _NEST: https://nest-simulator.org\n.. _Neuron: https://neuron.yale.edu.au\n\n\n",
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