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Spiking Neural Network Dataset

The dataset used in this paper is a spiking neural network (SNN) with 20 layers, where each layer has 2000 LIF neurons. The input spikes are Poisson trains at a target rate of 10Hz, and the output spikes are Poisson trains at a target rate of 30Hz. The network is trained using surrogate gradient descent with a piecewise-constant surrogate function.

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Cite this as

Nicolas Perez-Nieves, Dan F.M. Goodman (2024). Dataset: Spiking Neural Network Dataset. https://doi.org/10.57702/c273isyk

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Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Nicolas Perez-Nieves
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Dan F.M. Goodman