I think what you're saying is warranted, but you should be very careful putting machine learning architectures in the context of the human mind. They are inherently different, although their output may be similar at some points. What you're saying addressed this directly.

Machine learning is optimizing mathematical weights and biases, and the human mind is messy wetware. One of the first things you will read in any machine learning textbook is to throw away the notion of AI trying to simulate the human mind.