Disclaimer: I'm learning deep learning mainly from HN comments and just want to provoke more insights. I have no idea what weight sharing is or how kernels are

Disclaimer: I'm learning deep learning mainly from HN comments and just want to provoke more insights. I have no idea what weight sharing is or how kernels are represented in networks, but I do know that e.g. a blur filter or edge filter is represented as convolution matrix. It is dangerously confusing to reapply the neural-net-terminology to neuronal-nets isn't it? The weight of a kernel of biological neurons, what is that supposed to mean? If you haven't stopped reading yet, please consider: in case, as I have to assume, you mean there is a specific ensemble of neurons that represents a kernel of given weights corresponding to exactly one area of retina, then isn't sharing between "pixels" achieved simply by the eye's jittering? For better or worse, assume I'm the adversary in a GAN and ignore me if it doesn't make sense.