What is the biggest bottleneck for neuroscience/AI?

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Brainlet here with no prerequisites about biology besides high school level of biology.

We understand the brain on a 'macro' level.
this area controls your motor functions, this area is where your high level thinking occurs, this area is where your emotions are regulated.

We understand the brain on a micro level.
how individual neurons work, how a dozen of neurons interact with each other, we even made something similar to logic gates with them
> https://arxiv.org/pdf/1909.02833.pdf
but no more than that from what I understand.

what exactly is missing? why can't we observe a cluster that's say million\s of neurons and test that? and see how this cluster interacts with another until we have a 'full mapping of the brain'? is it that we can't afford to simulate that many? is that why the human brain project was a failure?

What would it take to reach a level where we can eliminate mental issues like ADHD, Schizophrenia, PTSD, Alzheimer's, "low IQ", and do things like selective memory erasure, actual efficient low level wiring to a chip. what would the roadmap look like?