"Self-healing codes: How stable neural populations can track continually reconfiguring neural representations": https://www.pnas.org/doi/full/10.1073/pnas.2106692119
It came out about a month ago, and I've just started reading it. But it talks about neural drift, and they actually were able to create a model for it.
And in that release, it ends like this:
"Dr O’Leary, Associate Professor in the Department of Engineering, said the study emphasises the idea that “drift” may arise from continual learning.
“There is a huge unanswered challenge in artificial intelligence, namely the problem of building algorithms that can learn continually without corrupting previously learned information,” he said. “The brain manifestly achieves this, and this work is a step in the direction of finding algorithms that can do the same.”"