Volume 5, Issue 2, April 2020, Page: 31-39
Presence of the Characteristics of Scalable 'Potential Molecule' for in EEG Signal
Robert John Flower, Gilchrist Institute for the Achievement Sciences, Bronxville, USA
Dineshen Chuckravanen, Gilchrist Institute for the Achievement Sciences, Bronxville, USA
Received: Jun. 4, 2020;       Accepted: Jun. 20, 2020;       Published: Jul. 13, 2020
DOI: 10.11648/j.ijpbs.20200502.12      View  210      Downloads  59
It has long been posited that there is theoretically and qualitatively a type of manifestation that occurs when someone has the will to change completely their mindset to achieve their greatest potential. It is said that this manifestation happens owing to the permission for previously untapped cognitive neural cells to create new neuronal networks which leads to elevated cognition and human development [6, 7, 8]. Through his close observation of the cell development, Dr. Langham founded a model which consists of three distinct components that are the (i) creative component, (ii) organizational component, and (iii) the functional component of the cell development. Each of these components consist of various numbers of aspects that exhibit certain characteristics. Therefore, this research employed encephalography (EEG) data from healthy human participants to find out the characteristics of these aspects in the field of the human decision-making process or their thought processes. Analysis found that there was a strong presence of most of those aforesaid aspects in the brain signal data and subsequent research studies will analyze other types of physiological data or other types of nature data to ensure the veracity of these results.
Cell Development, Potential Molecule, Human Understanding, EEG, Theory of Potential, Frontal Lobe
To cite this article
Robert John Flower, Dineshen Chuckravanen, Presence of the Characteristics of Scalable 'Potential Molecule' for in EEG Signal, International Journal of Psychological and Brain Sciences. Vol. 5, No. 2, 2020, pp. 31-39. doi: 10.11648/j.ijpbs.20200502.12
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Bohm, David. Wholeness & The Implicate Order. New York: Prentice Hall, 1980.
Bohr, Niels. Atomic Physics and Human Knowledge. New York: Wiley, 1958.
Chuckravanen, D. (2014), ‘Approximate entropy as a measure of cognitive fatigue: an eeg pilot study’ Int J Emerg Trends Sci Technol.
Chuckravanen, Dineshen; Rajbhandari, Sujan; Bester, Andre (2015), ' Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance', BRAIN. Broad Research in Artificial Intelligence and Neuroscience, [S.l.], v. 5, n. 1-4, p. pp. 46-59, jul. 2015. ISSN 2067-3957. . Date accessed: 2 Apr. 2020.
Dorf, Richard C.; Tallarida, Ronald J. (1993). Pocket Book of Electrical Engineering Formulas (1 ed.). Boca Raton, FL: CRC Press. pp. 171–174. ISBN 0849344735.
Flower, R. J (2006), 'A revolution in understanding: discovering your natural intelligence', Book II of Decoding Potential, Gilchrist Institute, ISBN: 0-9759501-1-8, USA.
Flower, R. J. (2015), 'Discovery of the Holy Grail', Gilchrist Institute, 501(c)(3). https://www.drbobflower.com/wp-content/uploads/2015/12/The-Discovery-of-the-Holy- Grail-full.pdf. Date accessed: 15 Mar. 2020.
Flower, R. J (2019), ' The evidence (+Proof?) of the Potential Molecule', Gilchrist Institute for the achievement Sciences, Ltd. www.gilchristinstitute.com.
Gardner, H. (1998). The minds new science: A history of the cognitive revolution. New York: Basic Books.
Matran-Fernandez A, Polo R (2017), 'Towards the automated localisation of targets in rapid image-sifting by collaborative brain-computer interfaces', PLoS ONE 12 (5): e0178498. https://doi.org/10.1371/journal.pone.0178498
Langham, Derald G. (1969). 'Genesa: An Attempt to Develop a conceptual model to synthesize, synchronize, and vitalize man's interpretation of Universal Phenomena', Fallbrook, CA: Aero Publishers.
Langham, D. G. (1974), 'Genesa: Tomorrow's Thinking Today', Journal of Creative Behavior. https://doi.org/10.1002/j.2162-6057.1974.tb01135.x
Nezu, A. M., Nezu, C. M. Problem Solving Therapy. Journal of Psychotherapy Integration 11, 187–205 (2001). https://doi.org/10.1023/A:1016653407338
Niedermeyer, E., & Henrique, L. D. (2005). Electroencephalography basic principles, clinical applications, and related fields. Philadelphia: Lippincott Williams & Wilkins.
Pribram, Karl. H. The Holographic Principle. New York: W. H. Freeman, 1979.
Proakis, John G.; Manolakis, Dimitris G. (1996). Digital Signal Processing: Principles, Algorithms, and Applications (3rd ed.). Prentice Hall. p. 291. ISBN 978-0-13-373762-2.
Rehman A, Al Khalili Y. Neuroanatomy, Occipital Lobe (2019). In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing. weblink: https://www.ncbi.nlm.nih.gov/books/NBK544320/
Snodgrass, J. G., & Vanderwart, M. (1980). 260 Pictures Set. PsycTESTS Dataset. doi: 10.1037/t27720-000.
Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence. New York: Cambridge University Press.
Sternberg, R. J. (1997). Thinking styles. New York: Cambridge University Press.
Von Bertalanffy, Ludwig. General Systems Theory. New York: Braziller, 1968.
Browse journals by subject