THE INSIGHT PHENOMENON AND THE DIGITAL VISUALIZATION OF THE HUMAN BRAIN ACTIVITY
Keywords:
insight, Gestalt, incomplete images, Gollin-test, pattern recognition, digital image processing, Functional magnetic resonance imaging (fMRI), large-scale neural network.
Abstract
The problem of the transition of unconscious of neurophysiological mechanisms into conscious ones, is crucial problem for cognitive science. Methods of digital synthesis and image processing have been used to analyze the activity of large-scale neural networks of the human brain in threshold recognition conditions. Activity of large-scale neural networks in subthreshold, threshold and above-threshold conditions in the case of observing synthesized dynamic images is shown. Particular attention is paid to comparing images reflecting the state of brain activity (by measuring the oscillations of the BOLD signal) in subthreshold, threshold and above-threshold conditions among themselves and with respect to images of the distribution of activity of neural networks at rest. The presence of the maximum value of the BOLD signal, when the threshold was reached, was found in some areas of the brain and the activity of neural networks in other areas of the brain decreased.Downloads
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References
Хараузов, А.К. Восприятие изобра-жений в задачах зрительного поиска в усло-виях динамической помехи / А.К. Хараузов, П.П. Васильев, Ю.Е. Шелепин и др. // Оптиче-ский журнал. – 2015. – Т. 82, № 5. – С. 42–55.
Шелепин, К.Ю. Распознавание фраг-ментированных изображений и возникновение «инсайта» / К.Ю. Шелепин, С.В. Пронин, Ю.Е. Шелепин // Оптический журнал. – 2015. – Т. 82, № 10. – P. 70–78.
Шелепин, К.Ю. Нейрофизиология «ин-сайта» / К.Ю. Шелепин, Ю.Е. Шелепин // Пе-тербургский психологический журнал. – 2015. – № 11. – С. 19–38.
Field, D.J. Contour integration by the human visual system: evidence for a local «asso-ciation field» / D.J. Field, A. Hayes, R.F. Hess // Vision Res. – 1993. – Jan; 33(2). – P. 173–193. PMID: 8447091
Foreman, N. The Gollin incomplete figures test: a flexible, computerised version / N. Foreman, R. Hemmings // Perception. – 1987. – February 16(4). – P. 543–548. •
Harauzov, A.K. The time course of pattern discrimination in the human brain / A.K. Harauzov, Y.E. Shelepin, Y.A. Noskov et al. // Vision Research. – 2016. – Vol. 125. – P. 55–63.
Hess, R. Integration of contours: new Insights / R. Hess, D. Field // Trends in Cognitive Sciences. – 1999. – Vol. 3, No. 12. – P. 480–486.
Saaty, T.L. The analytic hierarchy and analytic network measurement processes:
Applications to decisions under Risk / T.L. Saaty // European Journal of Pure and Applied Mathematics. – 2008. – Vol. 1 (1). – P. 122–196.
Kounios, J. The Cognitive Neuroscience of Insight» / J. Kounios, M. Beeman // Annu. Rev. Psychol. – 2014. – Vol. 65. – P. 71–93.
Шелепин, К.Ю. Распознавание фраг-ментированных изображений и возникновение «инсайта» / К.Ю. Шелепин, С.В. Пронин, Ю.Е. Шелепин // Оптический журнал. – 2015. – Т. 82, № 10. – P. 70–78.
Шелепин, К.Ю. Нейрофизиология «ин-сайта» / К.Ю. Шелепин, Ю.Е. Шелепин // Пе-тербургский психологический журнал. – 2015. – № 11. – С. 19–38.
Field, D.J. Contour integration by the human visual system: evidence for a local «asso-ciation field» / D.J. Field, A. Hayes, R.F. Hess // Vision Res. – 1993. – Jan; 33(2). – P. 173–193. PMID: 8447091
Foreman, N. The Gollin incomplete figures test: a flexible, computerised version / N. Foreman, R. Hemmings // Perception. – 1987. – February 16(4). – P. 543–548. •
Harauzov, A.K. The time course of pattern discrimination in the human brain / A.K. Harauzov, Y.E. Shelepin, Y.A. Noskov et al. // Vision Research. – 2016. – Vol. 125. – P. 55–63.
Hess, R. Integration of contours: new Insights / R. Hess, D. Field // Trends in Cognitive Sciences. – 1999. – Vol. 3, No. 12. – P. 480–486.
Saaty, T.L. The analytic hierarchy and analytic network measurement processes:
Applications to decisions under Risk / T.L. Saaty // European Journal of Pure and Applied Mathematics. – 2008. – Vol. 1 (1). – P. 122–196.
Kounios, J. The Cognitive Neuroscience of Insight» / J. Kounios, M. Beeman // Annu. Rev. Psychol. – 2014. – Vol. 65. – P. 71–93.
References on translit
Published
2019-04-18
How to Cite
Shelepin, K., Sokolov, A., Fokin, V., Vasiliev, P., & Pronin, S. (2019). THE INSIGHT PHENOMENON AND THE DIGITAL VISUALIZATION OF THE HUMAN BRAIN ACTIVITY. Psychology. Psychophysiology, 10(4), 47-55. https://doi.org/10.14529/psy170405
Issue
Section
Psychophysiology
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