Implementing a minimal spiking neural network for MNIST pattern recognition using nervos

In this post, we use the open source spiking neural network (SNN) framework *nervos* to implement a minimal two layer SNN for pattern recognition on the MNIST dataset. We analyze how the network learns to classify digits through spike timing dependent plasticity (STDP) and how the synaptic weights evolve during training.