Research on methods of inducing lucid dreaming in the framework of "Ban-chenko Algorithm"

D Y, Banchenko; T V, Burilova; L V, Saveliev; L K, Shishkin

doi:10.15761/jbn.1000134

Cited by 1 publication

(2 citation statements)

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“…The use of the "Banchenko Algorithm" contributes to the expansion of the field of scientific research in the field of lucid dreams, allowing to quickly prepare both small and large groups of participants without a tendency to lucid dreams, without a natural special frequency of their occurrence and without preliminary preparation. The personal experience and result of the application of this algorithm, described by one of the participants in the study of lucid dream induction, confirms the possibility of using this algorithm without interrupting work and daily duties [3].…”

Section: Introductionmentioning

confidence: 53%

“…The objective of the current research is to explore the hypothetical possibility of dream synchronization (including lucid dreams) among a group of participants using the theory of memes and tag-memes within the framework of the "Banchenko Algorithm" [3]. Banchenko's algorithm is a methodology for inducing lucid dreams in the rapid eye movement (REM) phase, which has been developed and researched by Denis Yurievich Banchenko for twenty years.…”

Section: Introductionmentioning

confidence: 99%

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The Application of the “Banchenko's Mnemonic Dream Synchronization Method” for the Joint Synchronization of Dream Elements (Including Lucid Dreams), within the Framework of “Blokhin's Dreaming Cell Concept,” and the Analysis of the Obtained Results Using the “Kapustin's AI Dream Matching Model.”

2024

Int Internal MedJ

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Purpose: The research is aimed at studying the potential for dream synchronization, including lucid dreams, among a group of participants using the concepts of "memes" and "tag-memes" within the framework of the "Banchenko Algorithm" and the "Mnemonic Dream Synchronization Technique of Banchenko." Additionally, it aims to assess the effectiveness of a new artificial intelligence model built and trained by Mykhailo Kapustin for identifying correlations in the dreams of the participants [1]. Methods: In the study, eight participants from different countries kept dream journals for a month. Afterward, the artificial intelligence model developed by Kapustin was trained to analyze these dreams. Following this, over the course of 16 days, synchronization among the group of participants was conducted using the "Mnemonic Dream Synchronization Technique of Banchenko," which included activities like collectively watching the TV series "The OA. Synchronization took into account the difference in time zones. Additionally, synchronous discussions of the viewing were carried out on the Telegram messenger, along with additional discussions related to key concepts and "tag-memes." Data analysis covered 30 days before synchronization and 30 days after the start of synchronization, using Kapustin's model with subsequent manual verification [2].Results: The data obtained for two periods confirm the influence of synchronization during wakefulness on dreams and highlight the emergence of "memes" and "tag-memes" in dream content, as well as objects and scenes unrelated to the elements of discussion or collective viewings. In-depth discussions during wakefulness contribute to the development of unique "tag-memes" within the group. The novelty of the research is based on the fact that it's suggested that electromagnetic fields may serve as mediators in intercellular communication, facilitating the exchange of information between cells. The systematic keeping of dream journals may influence the content of dreams. The frequency of lucid dreams remained stable, which may indicate the limited effectiveness of isolated methods of joint tuning without additional methods for inducing lucid dreams. Conclusions: The research highlights the impact of wakeful-state synchronization on dream content. "Memes" and "tag-memes" play their roles, but systematic dream journaling is also important for improving dream recall. The frequency of lucid dreams suggests the need for further investigation into isolated practices. A computational model excels at identifying common dream objects, but human evaluation remains integral during algorithm refinement.

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Section: Introductionmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 99%

The Application of the “Banchenko's Mnemonic Dream Synchronization Method” for the Joint Synchronization of Dream Elements (Including Lucid Dreams), within the Framework of “Blokhin's Dreaming Cell Concept,” and the Analysis of the Obtained Results Using the “Kapustin's AI Dream Matching Model.”

2024

Int Internal MedJ

View full text Add to dashboard Cite

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Research on methods of inducing lucid dreaming in the framework of "Ban-chenko Algorithm"

Cited by 1 publication

References 24 publications

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