Earlier quoted context omitted.
This thread could be summed up as "my priors tell me that if people were Actually Doing This (tm) it would look like X and it doesn't look like X, thus they aren't!" and then other people saying "uh, if you estimate the priors wrong that doesn't mean you aren't doing bayesian, it just means you estimated the priors wrong and got the wrong answer"
Ha. In my opinion, you and others are treating the brain doing statistics like religious people treat the existence of God. Absolutely any evidence can be interpreted as support for the hypothesis if you just tell the right story about it. I'm not even saying the hypothesis is necessarily false. However I will never trust the results of people who become so attached to an idea that they focus entirely on confirming i…
Different priors probably mean entirely different lines of reasoning, so you can't even say "well they should have thought about it the way I do" because it's not like the human brain is a single 10x10 neural net with no feedback, it's probably 1Mx1M and it is recurrent; the output from one time step feeds into the input at the next one.
You could get very, very different output for the same input from two neural nets that have been trained on different data. But that doesn't somehow make them not both neural nets; the meta-structure is the same even though all the weights from node to node are different.