{
  "id": 16027832,
  "title": "Inferring structural complexity from dynamical measures",
  "url": "https://urgent.news/2026/10/22/inferring-structural-complexity-from-dynamical-measures",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-22T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.21.760743v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Complexity, commonly defined as the coexistence of integration and differentiation, is a fundamental property of thalamocortical networks and is regarded as a prerequisite for adaptive brain function and consciousness. A variety of metrics have been developed to estimate neural complexity from recorded activity and are increasingly employed in both research and clinical settings. Yet, the extent…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}