The Thousand Brains Theory of Intelligence
I don't really understand why this theory is attractive. I hope someone here can help explain:Suppose we build a 1000 NNs for object detection, and let them 'vote' for which model to believe. What would be the best voting mechanism? Probably a final voting layer, right?This architecture can be described as a single NN where we disallow connections between 1000 separate parts of the network in the first n-1 layers.What would be the advantage of this? I appreciate that the brain - might - do it, but unless you can show any indication of this with experiments, or argue for why it would result in a performance increase, what's the point? Anyone can come up with an inferior architecture and propose that it's what the brain does.