@punishmenthurts @cesarpose I see it slightly differently. Let me use an analogy. When you're building software, you can build it as a bunch of handcrafted algorithms and rules that encode all the logic. Or you can use machine learning to build the logic by training the system using data. When you train a system, there are biases about what data you use and how it is processed, so the same system could end up with different logic if trained on datasets that were gathered and processed with different input subsystems.

I think different neurotypes might be that way. A lot of how we think is more similar than it appears. Probably because we pay attention to different things and process information differently, so we learn different lessons, then behave differently based on that.