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2026
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| Online Access: | https://doi.org/10.5281/zenodo.18132447 |
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| _version_ | 1866901879404888064 |
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| author | LI, NING |
| author_facet | LI, NING |
| contents | <p><strong>Abstract</strong></p> <p>This paper presents the theoretical framework and computational verification for the <strong>Offline Neural Plasticity Homeostasis (ONPH) Hypothesis</strong>. The ONPH framework proposes a novel neurobiological mechanism wherein sleep functions as an active, <strong>bidirectional adjudication system</strong> rather than a passive rest state.</p> <p><strong>Core Hypotheses:</strong></p> <ul> <li><strong>Bidirectional Adjudication:</strong> Sleep cycles consolidate wake-confirmed memories (LTP) while actively pruning unconfirmed neural noise via homeostatic downscaling (LTD).</li> <li><strong>Instinct Preservation:</strong> Phylogenetic memories (instincts) are protected against disuse atrophy through endogenous activation during REM sleep.</li> </ul> <p><strong>Methodology & Results:</strong></p> <p>We validated these mechanisms using stochastic differential equations (SDEs) and large-scale Monte Carlo simulations (N=30,000). The simulation results reveal a critical "Golden Bifurcation" phase transition at Day 2. Statistical analysis (One-way ANOVA, p < 0.001) confirms that wake-phase confirmation acts as a necessary selection filter, allowing valid memories to breach the replay threshold while suppressing noise. The full raw dataset and source code are included in this package for replication.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18132447 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Offline Neural Plasticity Homeostasis (ONPH) Hypothesis: Theoretical Framework and In Silico Validation (N=30,000) LI, NING <p><strong>Abstract</strong></p> <p>This paper presents the theoretical framework and computational verification for the <strong>Offline Neural Plasticity Homeostasis (ONPH) Hypothesis</strong>. The ONPH framework proposes a novel neurobiological mechanism wherein sleep functions as an active, <strong>bidirectional adjudication system</strong> rather than a passive rest state.</p> <p><strong>Core Hypotheses:</strong></p> <ul> <li><strong>Bidirectional Adjudication:</strong> Sleep cycles consolidate wake-confirmed memories (LTP) while actively pruning unconfirmed neural noise via homeostatic downscaling (LTD).</li> <li><strong>Instinct Preservation:</strong> Phylogenetic memories (instincts) are protected against disuse atrophy through endogenous activation during REM sleep.</li> </ul> <p><strong>Methodology & Results:</strong></p> <p>We validated these mechanisms using stochastic differential equations (SDEs) and large-scale Monte Carlo simulations (N=30,000). The simulation results reveal a critical "Golden Bifurcation" phase transition at Day 2. Statistical analysis (One-way ANOVA, p < 0.001) confirms that wake-phase confirmation acts as a necessary selection filter, allowing valid memories to breach the replay threshold while suppressing noise. The full raw dataset and source code are included in this package for replication.</p> |
| title | The Offline Neural Plasticity Homeostasis (ONPH) Hypothesis: Theoretical Framework and In Silico Validation (N=30,000) |
| url | https://doi.org/10.5281/zenodo.18132447 |