THE SNN TUTORIAL
Jupyter course on spiking neural networks with snnTorch neuron models and STDP
The SNN Tutorial teaches spiking neural networks through runnable Jupyter notebooks. Each lesson connects a neural mechanism to Python code and a small experiment.
Wrote experiments with PyTorch tensors for membrane potentials, spike sequences, and synaptic weights, using snnTorch neuron models. Designed exercises on input timing and model parameters, followed by implementations of STDP and learning from delayed feedback.