Showing 3 open source projects for "synapse"

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    Synapse

    Synapse

    Matrix reference homeserver

    ...Everything in Matrix happens in a room. Rooms are distributed and do not exist on any single server. Rooms can be located using convenience aliases like #matrix:matrix.org or #test:localhost:8448. Synapse is currently in rapid development, but as of version 0.5 we believe it is sufficiently stable to be run as an internet-facing service for real usage! Create and manage fully distributed chat rooms with no single points of control or failure. Eventually-consistent cryptographically secure synchronization of room state across a global open network of federated servers and services. ...
    Downloads: 2 This Week
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  • 2
    Fractal Neuro Oscillator

    Fractal Neuro Oscillator

    A fractal neural network

    ...The Fractal Neuro Oscillator is a neural network made up of threshold logic elements connected in a fractal manner. In a conventional network, information enters at the synapses and neurons fire or not. With a Fractal Neuro Oscillator, the synapse connections are randomized and information enters by firing neurons and then measuring the percentage of time firing of select neurons to generate an output value. These oscillation states can be summarized into a digest pattern to represent a saved state. Gradient error values can then be calculated by subtracting out the differences in digest patterns. ...
    Downloads: 0 This Week
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  • 3

    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 (spikes) between the neurons at a network level from the implementation of the internal dynamics of individual neurons.
    Downloads: 0 This Week
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