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Intuitive Innovation: Unconventional Modeling and Systems Neurology

Author

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  • Stephan Peter

    (Department of Basic Sciences, Ernst-Abbe University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745 Jena, Germany)

  • Bashar Ibrahim

    (Department of Mathematics & Natural Sciences and Centre for Applied Mathematics & Bioinformatics, Gulf University for Science and Technology, Hawally 32093, Kuwait
    Department of Mathematics and Computer Science, Friedrich Schiller University Jena, Fürstengraben, 07743 Jena, Germany
    European Virus Bioinformatics Center, Leutragraben 1, 07743 Jena, Germany)

Abstract

This review explores how intuitive processes drive innovation, which we define as novel ideas, inventions, or artistic creations that cannot be logically derived from existing knowledge or sensory data. Although intuitive processes are not yet fully recognized as a formal area of scientific research, this paper examines current approaches to their study and modeling. It highlights the necessity of integrating unconventional modeling methods with neuroscience to gain deeper insights into these processes. Key experimental studies investigating extrasensory abilities—such as remote viewing, precognition, and telepathy—are reviewed, emphasizing their potential relevance to innovation. We propose that combining these unconventional modeling approaches with insights from systems neurology can provide new perspectives on the neural mechanisms underpinning intuition and creativity. This review emphasizes the critical need for further research into intuitive processes to address complex global challenges. It calls for a more open, interdisciplinary approach to scientific inquiry, promoting the exploration of unconventional forms of knowledge generation and their neural correlates.

Suggested Citation

  • Stephan Peter & Bashar Ibrahim, 2024. "Intuitive Innovation: Unconventional Modeling and Systems Neurology," Mathematics, MDPI, vol. 12(21), pages 1-12, October.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3308-:d:1503937
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    References listed on IDEAS

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    1. Hameroff, Stuart & Penrose, Roger, 1996. "Orchestrated reduction of quantum coherence in brain microtubules: A model for consciousness," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 40(3), pages 453-480.
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