Or maybe the abstract, high level understanding the brain provided by psychology is enough to explain its dynamic behavior? Maybe I can become an expert in IC design by learning React?
We know how neural nets work on a fundamental level and we know how they work on multiple levels of higher abstraction, yet explainability is one the biggest problems in machine learning right now. These models can solve complex problems which computer scientists long struggled to develop algorithms for, even though every aspect of them, except emergent behaviors due to complex interactions, is known by us.
The issue is that consciousness is a strongly emergent property - touching every level of abstraction and comprising patterns from the specific to the general. Knowledge of how a system works on the ground level or how it works on some coarse levels of abstraction, does not allow you to classify it as conscious or unconscious.
Additionally, consciousness is ill-defined. There is no agreed upon definition that is free of contradictions, does not accidentally include systems that we would not see as conscious or does not accidentally exclude a significant portion of humanity.
I invite you to think up some properties of the human brain that you would classify as essential for consciousness to emerge, and then try to think up exceptions. I'm very confident that you can come up with at least one for every single property.