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Neural Decoding as Cognitive Inference — arXiv:2610.11923

Source
arXiv (en)
Original
https://arxiv.org/abs/2610.11923
License (as archived)
CC0-1.0
Archived
2026-10-09T06:03:23.424Z
SHA-256 of the archived text
14f170862f01bb63c90eaa649344aed6c81d54b02ffeacc68c33dfa07bdf1f4f
Stable URL of this page
https://metraipolis.com/documento/dc_f6dc19792fed

How to cite

Neural Decoding as Cognitive Inference — arXiv:2610.11923 — arXiv (en), https://arxiv.org/abs/2610.11923 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_f6dc19792fed (Metraipolis archive dc_f6dc19792fed, sha256 14f170862f01bb63c90eaa649344aed6c81d54b02ffeacc68c33dfa07bdf1f4f)
BibTeX
@misc{dcf6dc19792fed,
  title = {Neural Decoding as Cognitive Inference — arXiv:2610.11923},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.11923},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_f6dc19792fed; sha256 14f170862f01bb63c90eaa649344aed6c81d54b02ffeacc68c33dfa07bdf1f4f},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.11923. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

The brain maintains stable cognition despite continuously changing neural activity. How to extract stable cognitive states from variable neural observations remains a central problem in neural decoding. Existing neural decoding methods map neural observations to predefined external labels based on the stimulus-response principle, often capturing recording-specific spurious correlations. Inspired by how the brain infers the world, and specifically by Bayesian brain theory, we recast neural decoding as cognitive inference constrained by brain-intrinsic priors, yielding high-level meta-neural semantic representations. In decoding experiments spanning five neural recording modalities and three cognitive domains (motor, perception and internal mentation), our cognitive inference method reorganized the geometry of neural observation representations, yielding meta-neural semantic representations that exhibited consistent geometric relationships across cognitive tasks and enabled the recovery of stable cognitive states from variable neural observations. Our work provides an account of how the brain maintains relatively stable cognition despite continual changes in the external environment. Cognitive stability is sustained through cognitive inference from changing neural activity, without requiring fixed neural activity patterns.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Neurons and Cognition (q-bio.NC) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2610.11923 — 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 2026-10-09T05:47:01.918Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).