<sup>Déjà Vu as Overlap Between Dream Simulations and Waking Experience</sup>

<b>Déjà Vu as Overlap Between Dream Simulations and Waking Experience: A Predictive-Processing Framework (Version 2.5)</b>This updated version presents a comprehensive and refined theoretical framework proposing that déjà vu arises from partial overlaps between internally generated dream simulations of anticipated future scenarios and waking sensory experiences. Building on previous iterations, version 2.4 includes:A detailed experimental protocol incorporating future-oriented daytime tagging, dream fragment logging, and déjà vu event reporting.An expanded discussion of neural substrates involved in familiarity detection beyond traditional memory systems.Synthetic proof-of-concept simulations demonstrating the operational feasibility of the model and analytic pipeline.A rigorous statistical analysis plan leveraging natural language processing embeddings, similarity metrics, and machine learning classification.Clear testable predictions grounded in predictive-processing theory.Ethical and practical considerations for longitudinal self-experimentation and neurostimulation studies.Updated literature integration reflecting the latest advances in dreaming research and predictive coding.This version supersedes and replaces the prior 1.7 release, addressing feedback and incorporating significant enhancements for clarity, empirical accessibility, and scientific rigor.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29146202.v2
Primary Topic
Sleep and Wakefulness Research
Type
article
Field-Weighted Citation Impact
0.00
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Déjà Vu as Overlap Between Dream Simulations and Waking Experience

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Sleep and Wakefulness Research
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Déjà Vu as Overlap Between Dream Simulations and Waking Experience

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Abstract

<b>Déjà Vu as Overlap Between Dream Simulations and Waking Experience: A Predictive-Processing Framework (Version 2.5)</b>This updated version presents a comprehensive and refined theoretical framework proposing that déjà vu arises from partial overlaps between internally generated dream simulations of anticipated future scenarios and waking sensory experiences. Building on previous iterations, version 2.4 includes:A detailed experimental protocol incorporating future-oriented daytime tagging, dream fragment logging, and déjà vu event reporting.An expanded discussion of neural substrates involved in familiarity detection beyond traditional memory systems.Synthetic proof-of-concept simulations demonstrating the operational feasibility of the model and analytic pipeline.A rigorous statistical analysis plan leveraging natural language processing embeddings, similarity metrics, and machine learning classification.Clear testable predictions grounded in predictive-processing theory.Ethical and practical considerations for longitudinal self-experimentation and neurostimulation studies.Updated literature integration reflecting the latest advances in dreaming research and predictive coding.This version supersedes and replaces the prior 1.7 release, addressing feedback and incorporating significant enhancements for clarity, empirical accessibility, and scientific rigor.

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Sleep and Wakefulness Research
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