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Neural Computation Runs on Dissipative Structures Under Cyclic Calibration: A Systems Perspective on Sleep — arXiv:2610.21486

Source
arXiv (en)
Original
https://arxiv.org/abs/2610.21486
License (as archived)
CC0-1.0
Archived
2026-10-16T10:52:57.506Z
SHA-256 of the archived text
f57d211fc2e879c6092ebc751ed5978ee84f4299ce7eb7a7097b78828b3275cf
Stable URL of this page
https://metraipolis.com/documento/dc_db6dfffc6bba

How to cite

Neural Computation Runs on Dissipative Structures Under Cyclic Calibration: A Systems Perspective on Sleep — arXiv:2610.21486 — arXiv (en), https://arxiv.org/abs/2610.21486 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_db6dfffc6bba (Metraipolis archive dc_db6dfffc6bba, sha256 f57d211fc2e879c6092ebc751ed5978ee84f4299ce7eb7a7097b78828b3275cf)
BibTeX
@misc{dcdb6dfffc6bba,
  title = {Neural Computation Runs on Dissipative Structures Under Cyclic Calibration: A Systems Perspective on Sleep — arXiv:2610.21486},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.21486},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_db6dfffc6bba; sha256 f57d211fc2e879c6092ebc751ed5978ee84f4299ce7eb7a7097b78828b3275cf},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.21486. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Biological function operates far from thermodynamic equilibrium, sustained by metastable structures that continuously cycle through synthesis, function execution, and degradation--consuming energy and exporting entropy in the process. Neural computation exemplifies this dissipative organization, relying on low-entropy structures engaged in dynamic processes that define key information transfer and processing parameters such as gain, threshold, and integration time. This perspective proposes that sleep serves as a systemic recalibration phase required to reset crucial signaling parameters that drift during dissipative processing. During wakefulness, neural activity progressively consumes and disrupts the organization of the very substrate from which it emerges, leading to parameter drift and reduced computational precision. Sleep maintains computational accuracy across activity cycles by recalibrating function-structure coupling--that is, by counterbalancing entropic drift. Rather than explaining the experimentally observed sleep need through homeostatic regulation of unknown physiological variables, this perspective reframes it as an emergent property of neural computation under thermodynamic constraints.

Tema degli esploratori: scienze della vita e salute (elenco arXiv q-bio.NC, nuovi lavori del giorno).
Categorie arXiv: Neurons and Cognition (q-bio.NC).
Pagina del lavoro: https://arxiv.org/abs/2610.21486 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T08:59:07.208Z dalla pagina https://arxiv.org/list/q-bio.NC/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).