@niplav Globally-sensitive is another way to say critical brain hypothesis: the idea that the brain is constantly tuned for maximum Dynamic Correlation Length¹, which is achieved by maybe-something-like regionally renormalizing activity-levels so it borders "criticality" (ie, closeness-to-phase-shift) all the time.
Neuronal activity on several measures is lognormal, so a significant fraction of spikes have much larger effect on the rest of the network compared to others.
@niplav Also, I feel like this thread started out with a tone that makes it appear like I was contradicting you. But I meant to confirm the thing you meant, while providing nuance re the sources of that non-locality (bon my current models).
@niplav ¹DCL ~is um.. smth like the expected amount by which two randomly chosen neurons have computationally-connected activity-levels at any given time, weighted by the distance between them.
…or smth. I'm trying to translate the concept from memory from where I saw² it defined for Ising models, and I think I failed.
²
https://youtu.be/vwLb3XlPCB4?si=MZzvj-L2vGQAzKQv&t=739