Showing 6 open source projects for "neural python"

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  • 1

    Moose

    Multiscale Neuroscience and Systems Biology Simulator

    Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code.
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    Downloads: 3 This Week
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  • 2

    nevesim

    NEVESIM is an event-driven neural simulation tool.

    NEVESIM is a software package for event-driven simulation of networks of spiking neurons with a fast simulation core in C++, and a scripting user interface in the Python programming language. It supports simulation of heterogeneous networks with different types of neurons and synapses, and can be easily extended by the user with new neuron and synapse types. To enable heterogeneous networks and extensibility, NEVESIM is designed to decouple the simulation logic of communicating events...
    Downloads: 0 This Week
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  • 3
    NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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  • 4
    PCSIM is a tool for distributed simulation of heterogeneous networks composed of different model neurons and synapses. The development of PCSIM was supported by the FACETS EU project.
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  • 5
    Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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  • 6
    a distributed engine for abstract neural network development via natural-language programming
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