I think you're missing some key points - Good models are important While the traditional computer model is good at explaining behavior, it doesn't help us ask

I think you're missing some key points - Good models are important While the traditional computer model is good at explaining behavior, it doesn't help us ask new questions. And no matter how well what we currently know brain fits the traditional computer model, if it can't be used to inspire new questions then we need to explore new models. Feynman explains this better [https://youtu.be/NM-zWTU7X-k https://youtu.be/NM-zWTU7X-k]. Even though our finite non-magic brains could fit in a computer, a computer isn't the best metaphor. - Computers don't act like brains by themselves. In any FUZZY LOGIC compiled and ran on a computer, all your code is translated into functions and data. LOSSY COMPRESSION is actually the application of experiments on perception, and not an inherent property of computers. A jpg is designed to look the same while using less space, but the information from it is not integrated in the same way as a human. Our MEMORY is not like a computer's. It is shockingly constructive, something that isn't expected with the computer model. - New programming paradigms might be better models. My beef with the metaphor is that is has very separate memory and computation. I don't think the brain "reads and writes from memory". I think it creates and updates a mesh of functions. Something like FUNCTIONAL PROGRAMMING could be used to model this. What if instead of looking for a neural hard drive, we treat each neuron as a function? What if generation of a dollar bill is actually OPTIMIZATION of our recognition function? What if we are a PIPELINE of functions, each feeding into the next from retinas to occipital lobe to thalamus to motor cortex to muscles? I would rather see new ideas coming from us than holding on to an outdated metaphor.