## Problem 108 — rank:230

**Title:** Criticality in neural systems

**Added binding assumptions (LaTeX):**

```latex
Specify the order of $N\to\infty$ and $h\downarrow0$, the stationary law and the normalization of activity. A finite driven recording has no literal divergence; infer a model-specific distance with uncertainty and compare finite-size scaling alternatives. The task-benefit inequality must include uncertainty in $g_c$ and allow failure; a power-law avalanche histogram alone is not evidence for criticality.
```

**Direct edits:** 0. **Fresh external checks:** None; supplied sources retained as provenance.