Calvin is the man.
> For example, there should be a relationship between rate of learning and the physical subcolumns - we should be able to identify when a single column starts up / is fully trained / is overused
This sounds super interesting. Could you break down what you're thinking here?
> Marvin Minsky was spot on about the general idea 50 years ago, seeing the brain as a collection of 1000s of atomic operators (society of mind?)
I'm very much an amateur in this field and was under the impression that Minsky was trying to break it up, but was trying to specify each of those operations. What I find so enticing about Neural Darwinism is the lack of specification needed. Ideally, once you get the underlying process right, there's a cascade of emergent properties.
Using the example of a murmuration of starlings I picture Minsky trying to describe phase transitions between every possible murmuration state. On the other hand I see Neural Darwinism as an attempt to describe the behavior of a single starling which can then be scaled to thousands.
Let me know if that's super wrong. I've only read second hand descriptions of Minsky's ideas, so feel free to send some homework my way.