Sleep as Offline Maintenance: Why Loss of Consciousness Is Required for Low-Resistance Pathway Networks
Sleep is present across all sufficiently complex animal nervous systems, and its loss produces broad cognitive and physiological failure. Yet why sleep must exist, and why it must involve loss of consciousness, remains unexplained by current mechanistic descriptions. This paper derives sleep from the physical requirement that low-resistance pathway networks—the physical substrate of memory—must be maintained under low-load conditions. Because the memory network is globally interconnected, localized maintenance is physically impossible: activity from unmaintained regions continues to propagate into any region placed in a low-load state. The entire network must therefore be taken offline simultaneously. Taking the network offline requires closing sensory and motor branches, and this closure brings the global online state of the memory network to an end. In clinical terms, this is described as loss of consciousness. Four predictions follow from this derivation: sleep should involve maintenance-related changes in low-resistance pathways; metabolite clearance should be enhanced during sleep; sensory gating and motor inhibition should accompany sleep; and sleep deprivation should produce maintenance failure. Published evidence from synaptic homeostasis, glymphatic clearance, sensory and motor physiology, and sleep deprivation studies is systematically aligned with these predictions. The convergence of these independent data streams on a single maintenance requirement supports the framework that sleep is not a behavioral choice, but a physical necessity of low-resistance pathway networks. In this framework, loss of consciousness is not a cost of sleep; it is the physical precondition that allows the globally integrated memory network to enter its maintenance state.
Authors
- Menggang Yu (ORCID: https://orcid.org/0009-0004-1943-6776)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-24
- DOI
- https://doi.org/10.5281/zenodo.22074163
- Primary Topic
- Sleep and Wakefulness Research
- Type
- preprint