Is Learning More Complex Than We Thought?

So a lot on this podcast, we've talked about this current trend of reducing the dimensionality of like neural activity. And then describing these lower dimensional manifold states that kind of you can start mapping on the cognitive functions. But what you're saying is that learning is high dimensional. I mean, how high dimensional is learning and do we need to keep it at a high D level or are there dimensionality reduction techniques, you know, that we can use? So for instance, reinforcement learning also has turned out to be a complicated affair also. Yeah.

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