Metadata-Version: 1.1
Name: neuromllite
Version: 0.1.3
Summary: A common JSON based format for compact network specification, closely tied to NeuroML
Home-page: https://github.com/NeuroML/NeuroMLlite
Author: Padraig Gleeson
Author-email: p.gleeson@gmail.com
License: LICENSE.lesser
Description-Content-Type: UNKNOWN
Description: ### NeuroMLlite: a common framework for reading/writing/generating network specifications
        
        Work in progress. Moved from https://github.com/NeuroML/NetworkShorthand/tree/master/proposal.
        
        ![Architecture](images/NetworkShorthand.png)
        
        The best way to see the currently proposed structure is to look at the examples
        
        #### Ex. 1: Simple network, 2 populations & projection
        [JSON](examples/Example1_TestNetwork.json) | [Python script](examples/Example1.py)
        
        Can be exported to:
        - **NeuroML 2** (XML or HDF5 format)
        
        #### Ex. 2: Simple network, 2 populations, projection & inputs
        [JSON](examples/Example2_TestNetwork.json) | [Python script](examples/Example2.py) | [Generated NeuroML2](examples/Example2_TestNetwork.net.nml)
        
        Can be exported to:
        - **NeuroML 2** (XML or HDF5 format)
        
        #### Ex. 3: As above, with simulation specification
        [JSON for network](examples/Example3_Network.json) | [JSON for simulation](examples/SimExample3.json) | [Python script](examples/Example3.py) | [Generated NeuroML2](examples/Example3_Network.net.nml) | [Generated LEMS](examples/LEMS_SimExample3.xml)
        
        Can be exported to:
        - **NeuroML 2** (XML or HDF5 format)
        
        Can be simulated using:
        - **NetPyNE**
        - **jNeuroML**
        - **NEURON** generated from **jNeuroML**
        - **NetPyNE** generated from **jNeuroML**
        
        
        #### Ex. 4: A network with PyNN cells & inputs
        [JSON](examples/Example4_PyNN.json) | [Python script](examples/Example4.py) | [Generated NeuroML2](examples/Example4_PyNN.net.nml) 
        
        Can be exported to:
        - **NeuroML 2** (XML or HDF5 format)
        
        Can be simulated using:
        - **NEST** via **PyNN**
        - **NEURON** via **PyNN**
        - **Brian** via **PyNN**
        - **jNeuroML**
        - **NEURON** generated from **jNeuroML**
        - **NetPyNE** generated from **jNeuroML**
        
        
        #### Ex. 5: A network with the Blue Brain Project connectivity data 
        [JSON](examples/BBP_5percent.json) | [Python script](examples/Example5.py) 
        
        Can be exported to:
        - **NeuroML 2** (XML or HDF5 format)
        
        Can be simulated using:
        - **NetPyNE**
        
        [![Build Status](https://travis-ci.org/NeuroML/NeuroMLlite.svg?branch=master)](https://travis-ci.org/NeuroML/NeuroMLlite)
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Topic :: Scientific/Engineering
