OpenCL-based neuronal network simulator. Incorporates synaptic plasticity based on event-based implementation of Graupner-Brunel algorithm. Neurons are encoded as leaky integrate-and-fire (LIF). Synapses are current based and are available as both direct delta-currents and a difference-of-exponentials.
learning opencl parallel-computing recurrent-neural-networks artificial-neural-networks neuronal academic-project plasticity numerical-simulations event-driven-architecture gpu-programming
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Updated
Mar 2, 2020 - C