GFS for Researchers

Advancing Consciousness Research Through AI-Powered Forecasting

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Join the first interdisciplinary research program combining lucid dreaming, neuroscience, and predictive analytics

Key Research Metrics

Metric Value
Peer-Reviewed Papers 7 publications (2023-2025)
Lucid Dream Success Rate 39% induction rate
Forecasting Accuracy 11.1% R² in stock market prediction
Study Participants 8-25 participants per study
Research Timeline 2023-2025 (ongoing)

Scientific Foundation

Peer-Reviewed Research Foundation

GFS is built on a solid foundation of peer-reviewed scientific research published in international journals. Our research spans multiple disciplines: neuroscience, psychology, economics, and artificial intelligence.

Research Timeline (2023-2025)

2023:

2024:

2025:

Publications & Citations {#publications}

Our Publications

1. Research on Methods of Inducing Lucid Dreaming in the Framework of "Banchenko Algorithm"

Authors: Banchenko D.Y., Burilova T.V., Saveliev L.V., Shishkin L.K.
Journal: Brain and Nerves, Volume 8: 1-8, 2023
DOI: 10.15761/JBN.1000134
ResearchGate: View Publication
Published: March 24, 2023

Key Findings:

Methodology Components:

  1. Breathing practices (hyperventilation, deep breathing)
  2. Special hand exercises (hemisphere synchronization)
  3. Diet (raw chocolate, spirulina, chlorella, no sugar)
  4. Red light therapy
  5. Reality checking (10 actions)
  6. Physical exercises (10,000 steps forward/backward)
  7. Dream journaling

Hypotheses Tested:

2. Funding for Fundamental Science Research Based on Blockchain Technologies: «Banchenko Market»

Authors: Banchenko D.Y., Burilova T.V., Nekhaev I.N., Mutsalkhanova-Yushchenko O.D., Shishkin L.K., Prokofyeva O.V.
Journal: Moscow Economic Journal, No. 8, 2023
DOI: 10.55186/2413046X_2023_8_8_414
ResearchGate: View Publication

Key Findings:

Market Components Analyzed:

3. The Application of the "Banchenko's Mnemonic Dream Synchronization Method"

Authors: Banchenko D.Y., Kapustin M.M., Bukach I.N., Budanova A.S., Burilova T.V., Mutsalkhanova-Yushchenko O.D., Blohin I.S., Shishkin L.K.
Journal: International Internal Medicine Journal, Volume 2, Issue 1, Pages 01-18, 2024
ResearchGate: View Publication
Published: January 29, 2024

Key Findings:

Method:

Results:

Theoretical Basis:

4. Forecasting Social, Geopolitical, and Economic Events Using the 'Banchenko-Technology'

Authors: Banchenko D., Burilova T., Siberia I., et al.
Journal: Japan Journal of Research, Volume 5, Issue 5, 2024
ResearchGate: View Publication

Key Findings:

Statistical Models:

Theoretical Hypotheses:

  1. Planet as superorganism (Gaia extension)
  2. Brain as H-field antenna (hyperbolic fields)
  3. Simulation theory (Vopson's second law of infodynamics)
  4. Multidimensional consciousness (4+1 space-time structure)

5. Technological Transformations - Formation of GMS (Global Mental System) and GFS (Global Forecasting System)

Authors: Banchenko D.Y. et al.
Journal: Journal of Investment Banking and Finance, Volume 3, Issue 1, 2025
ResearchGate: View Publication

Key Findings:

Technology Stack:

6. The Methodology for Diagnosing and Managing Stress Developed by Grivtsova

Authors: Banchenko D.Y., Grivtsova I.V., Kapustin M.M., Savelev I.V., Reshetnyak S.M.
Journal: American Journal of Medical and Clinical Research & Reviews, Volume 3, Issue 9, 2024
ResearchGate: View Publication
Published: September 5, 2024

Key Findings:

Method:

Results:

7. Comprehensive Research Strategy Analysis for ASRP Team

Purpose: Deep analysis of all research papers for team activity formation

Key Findings:

Research Opportunities

Collaboration Opportunities

A. Validation Studies

Current Status:

Opportunities:

How to Get Involved:

B. Mechanism Research

Current Gaps:

Research Areas:

1. Pineal Gland Calcification

2. Electromagnetic Field Effects

3. Quantum Consciousness

4. Hyperbolic Fields Theory

Collaboration Needed:

C. Data Access

Research Data Sharing Program:

Available Datasets:

API Access for Researchers:

Collaboration Framework:

How to Request Access:

Methodology & Tools

Research Methodology & Tools

Banchenko Algorithm

Purpose: Systematic method for inducing lucid dreams in REM phase

Components:

  1. Breathing Practices

    • Wim Hof method
    • Hyperventilation followed by deep inhalation/exhalation
    • Conscious access to autonomic nervous system
    • Activates adrenal medulla

  2. Special Hand Exercises

    • Sequential twisting and opening of crossed hands' fingers
    • Improves fine motor skills
    • Enhances coordination between hemispheres
    • Optimizes brain function integration

  3. Diet

    • Avoiding sugar (affects dopaminergic and opioid systems)
    • Consuming raw chocolate (theobromine for pineal gland)
    • Spirulina and chlorella (methylmercury detoxification)
    • Choline-rich foods (precursor to acetylcholine)

  4. Red Light Therapy

    • Evening exposure before sleep
    • Natural lighting during day
    • Optimizes serotonin synthesis
    • Affects melatonin production

  5. Physical Exercises

    • 10,000 steps forward during daylight
    • 10,000 steps backward
    • Develops new neural connections
    • Improves sleep quality

  6. Reality Checking

    • 10 specific actions performed regularly
    • Forms habit that manifests in sleep
    • Triggers lucid awareness

  7. Dream Journaling

    • Handwritten (not typed)
    • Different brain areas activated
    • Improves dream memory
    • Symbol recognition training

Success Rate: 39% (7/18 participants)

Validation: Published in Brain and Nerves (2023)

Dream Synchronization Method

Purpose: Synchronize dream content across geographically separated participants

Method:

Results:

Theoretical Basis:

Kapustin Markers Algorithm

Purpose: Extract specific elements from dreams for analysis

Extracted Elements:

Implementation:

Integration: Implemented as Pass 1 in GFS Model

GFS Model Architecture

Multi-Pass Analysis Pipeline:

  1. Pass 1: Event Extraction - PropBank Semantic Role Labeling
  2. Pass 2: Sphere Classification - Economic/Social/Geopolitical
  3. Pass 3: Economic Mapping - NAICS taxonomy mapping
  4. Pass 4: News Verification - GDELT, Google CSE, NewsAPI
  5. Pass 5: LLM Verification - Advanced reasoning
  6. Pass 6: Scientific Formatting - Academic text generation
  7. Pass 7: Polymarket Betting - Automated market interaction

Technical Documentation:

Research Gaps & Future Directions

Research Priorities

Current Limitations

1. Sample Size Constraints

2. EEG Validation

3. Statistical Limitations

4. Mechanism Understanding

Future Research Needs

Short-Term (0-6 months):

Medium-Term (6-18 months):

Long-Term (18+ months):

Funding Opportunities

Current Funding Sources:

Research Funding Needs:

How to Get Involved:

Team & Expertise {#team--expertise}

Interdisciplinary Research Team

Core Team:

Denis Banchenko - CEO & Founder

Mykhailo Kapustin - CTO & Co-Founder

Valeria Ovseannikova - CBE (Chief Biomedical Engineer) & Co-Founder

Irina Grivtsova - Stress Methodology Developer

Lev Shishkin - CSO (Chief Scientific Officer)

Vlada Bilovodenko - CRO (Chief Risk Officer) & Co-Founder

Aleksandr Gromyko - LBED (Lead Backend-End Developer)

Interdisciplinary Expertise

Neuroscience:

AI/ML:

Psychology:

Economics:

Blockchain:

Contact & Collaboration {#contact}

Request Research Collaboration

We welcome collaboration with researchers, institutions, and organizations interested in advancing consciousness research and predictive analytics.

Collaboration Types:

Contact Information:

Research Inquiries:
Email: research@asrp.tech

Data Access Requests:
Email: data@asrp.tech

General Research:
Email: info@asrp.tech

Contact Form

Request Research Collaboration

Please provide:

Response Time: We aim to respond within 5-7 business days.

Additional Resources

Research Pages

Documentation

Links

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Advancing Consciousness Research Through Interdisciplinary Collaboration