Random Projection (aka RCA) helps for reducing dimensions. It even can be used for increase dimensions (like kernel function). It’s reported it still have good performance for following ML algorithms.
Since brain is pretty random (different people has different brain, ), I’m wondering whether brain naturally has random projection machanism? E.x. few neurons regions always have certain connections, no matter how data changes. It will ‘compress’ the data into lower dimensions, or transform the data into higher dimensions.
(1) It has such region/neurons, right?
(2) Reduce dimension or increase dimension? I guess it’s reducing dimensions.
(3) I believe it can’t be changed in short term (e.x. daily or weekly). But, does it change yearly or in life time?
I’m not a neuroscientist but just follow Jeff and Numenta for years. Your guys’ input would be helpful.