Hello,
I am new to Nengo Spiking Network implementations and am trying to understand the operation. I am currently running the optimized spiking neural network implementation on MNIST dataset that is given at: https://www.nengo.ai/nengo-dl/examples/spiking-mnist.html.
I wanted to know exactly how the input pixel data is being converted to spikes and which portion of the code or library function is responsible for the same.