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Convolutional Spiking Neural Network Simulator (CSNN)

Convolutional Spiking Neural Network Simulator (CSNN)

Résumé

A simulator dedicated to run multi-layered spiking neural network in C++ . This tool is designed to optimize the time simulation of such architectures on CPU, by providing SIMD implementation of spiking convolution and pooling layer. Moreover, every experimentation configuration is automatically saved in a file, which helps to keep a track of previous results, and allows to easily reload past experimentation.

HAL

Cite hal-02146289 Objet présenté à une conférence Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet. Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP. International Joint Conference on Neural Networks (IJCNN), Jul 2019, Budapest, Hungary. ⟨hal-02146289⟩

HAL

Cite hal-02146284 Article Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet. Unsupervised visual feature learning with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches?. Pattern Recognition, 2019, 93, pp.418-429. ⟨10.1016/j.patcog.2019.04.016⟩. ⟨hal-02146284⟩

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