Ok you just skipped the second part where I say about overtraining NN's. You can put all the context you want from other sources and expand arbitrarily, but sti

Ok you just skipped the second part where I say about overtraining NN's. You can put all the context you want from other sources and expand arbitrarily, but still artificial NN's are a lot more constrained than biological ones. It is because artificial NN's are still only approximation of biological NN's. We still don't know a lot about functioning of brain and other stuff. Maybe some parts of image recognition require spinal cord neurons and muscle tissue to interact? So is it just count of inputs to neuron, or there are ways where inputs to neuron are modified by other chemicals in a body? Are we making weights on inputs stronger because of good reasons, are making some other inputs weaker because of good reasons?