So neurons don’t disassemble their current patterns to find the optimal pattern for the latest training goal? That sounds like a good neural algorithm because h

So neurons don’t disassemble their current patterns to find the optimal pattern for the latest training goal? That sounds like a good neural algorithm because how do you know that the old should be fully replaced with the new? If I were God, my creatures’ brains would adapt older patterns so they could do double duty, especially in the short term. Because there is still a high Bayesian likelihood that the older behaviors might need to be recalled. This neural model creates creatures that can adapt to an expanding set of training goals.