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I'm glad people are talking about this, and the similarity between predictive coding and the action of biological neurons is interesting. But we shouldn't fetishize predictive coding. There's a wider discussion going on, and several theories as to how back propagation might work in the brain.

https://www.cell.com/trends/cognitive-sciences/fulltext/S136...

https://www.nature.com/articles/s41583-020-0277-3

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there is no evidence of back-propagation in the brain.

See Professor Edmund T. Rolls books on biologically plausible neural networks:

"Brain Computations: What and How" (2020) https://www.amazon.com/gp/product/0198871104

"Cerebral Cortex: Principles of Operation" (2018) https://www.oxcns.org/b12text.html

"Neural Networks and Brain Function" (1997) https://www.oxcns.org/b3_text.html

"There is just one problem: [biological neural networks] are physically incapable of running the backpropagation algorithm."

From the linked article.

I read that sentence. The article is not the only source of truth in brain function, and its author may be too certain about the brain. In any case, there will always be dissimilarities between biological neurons and computations on silicon, which probably shouldn't be called neurons, in order to avoid confusion.

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