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Adding NIF
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CONTRIBUTORS.md

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Victor Jirsa
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Jeffrey S. Grethe
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Part_1_Resources_for_computational_modellers/README.md

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#### PyNN
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PyNN (pronounced 'pine') is a simulator-independent language for building neuronal network models.
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PyNN (pronounced 'pine') is a simulator-independent language for building neuronal network models.
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In other words, you can write the code for a model once, using the PyNN API
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and the Python programming language, and then run it without modification
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on any simulator that PyNN supports (currently NEURON, NEST, and Brian),
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| [Slides](https://github.com/NeuralEnsemble/NeuroinformaticsTutorial/blob/master/Part_1_Resources_for_computational_modellers/5_Model_sharing/5_Geppetto.pptx)
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#### GitHub
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GitHub is a web-based version control repository based on Git and Internet hosting
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#### Rescience
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Reproducible Science is good, Replicated Science is Better.
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ReScience is a scientific journal dedicated to the publication of replication in computational sciences.
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Reproducible Science is good, Replicated Science is Better. ReScience is a
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scientific journal dedicated to the publication of replication in computational sciences.
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[Website](http://rescience.github.io)
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#### NIF
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The Neuroscience Information Framework (NIF), an initiative of the NIH Blueprint
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for Neuroscience Research, is a semantically-enhanced portal to web-based
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neuroscience resources: data, materials, and tools. NIF has developed search
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tools, which expose the contents of federated databases and deep or “hidden” web
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resources hidden from traditional search engines. NIF is designed to serve the
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neuroscience research community and is actively looking for resource providers
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to make their resources accessible through NIF.
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[Website](https://neuinfo.org)
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| [Slides](https://github.com/NeuralEnsemble/NeuroinformaticsTutorial/blob/master/Part_1_Resources_for_computational_modellers/8_Web_portals/1_NeuroscienceInformationFramework.pptx)
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<!--
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#### KnowledgeSpace
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...
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...-->
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#### Virtual Fly Brain
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