PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 15, 20260 citationsOpen Access

Total Entropy Conservation in Information-Matter Coupled Systems and the Nature of Consciousness v4.3

View Full Paper
BFBingxing FU

Key Points

  • The research aims to resolve tensions in entropy classification and establish links between consciousness and scientific frameworks.
  • Introduced a continuous coupling-spectrum parameter for entropy classification.
  • Extended the dark matter hypothesis with new qualitative predictions.
  • Aligned consciousness framework with neuroscientific and astrophysical concepts.
  • Proposed two new testable predictions related to consciousness and neuroscience.
  • Drafted an astrophysical event for information purification's Stage III.
  • Adjusted wording for the interpretation of the double-slit experiment.

Abstract

This version introduces a continuous coupling-spectrum parameter to resolve conceptual tension in entropy classification; extends the dark matter intermediate-state hypothesis with testable qualitative predictions; establishes direct correspondence between the consciousness framework and established neuroscientific findings, adding two new testable predictions; provides a concrete astrophysical qualitative correspondence event for Stage III information purification; and adjusts the wording of the double-slit interpretation. impossibility of homogeneous room-temperature superconductor https://doi.org/10.5281/zenodo.20159870 References 4, 7, and 19 are not cited in this version and will be removed or assigned citations in the next revision; the publication details of 7 remain to be verified. These do not affect the derivations or conclusions. The preprint was revised with the help of artificial intelligence language touch-ups and formula formatting tools

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bingxing FU (2026) studied this question.

synapsesocial.com/papers/6a06b983e7dec685947ac29dhttps://doi.org/10.5281/zenodo.20158566
Ask AI
Helpful
Bookmark
Share
View Full Paper