Convolutional Spiking Neural Network Simulator (CSNN)

Abstract

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

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HAL - Lille 3

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Last time updated on 15/05/2024

This paper was published in HAL - Lille 3.

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