Still working on the details, but after many years of visualizing this in my head, it’s finally come to fruition for all to see. This is typically how I visualize how neural networks (basic artificial ones at least) work. I’m working on two extensions from the 1943 basic neural network model. The first is to argue that neural networks aren’t genuinely composed of “weights”, “aggregations”, and “activations”, but rather of “ions” and “ion shifts” (neurotransmitters). But in order to advance my own research in proposing these new models (which I have already sketched out the mathematics for), I need to start here. Any cool ideas anyone else has to visualize anything else in NNs would be much appreciated! Happy Friday all! submitted by /u/FuzzyTouch6143
Originally posted by u/FuzzyTouch6143 on r/ArtificialInteligence