LIF Spiking Networks with Temporal Self-Attention and a Spiking Convolutional Stem for Image Classification
We propose a simple and fully reproducible framework that integrates Spiking Neural Networks (SNNs) with self-attention for image classification on MNIST and Fashion-MNIST. Static images are converted into spike trains using Bernoulli/Poisson rate coding over time steps and processed by Leaky Integrate-and-Fire (LIF)...