Review Article

Physiology and Technology of Clinical Gollin Test

Stanislav Morozov 1 * , Sergey Pronin 1, Maria Kniazeva 1, Alexandr Pavlov 2, Nikita Solovyev 3, Vladimir Reituzov 4, Valerij Chikhman 5, Elena Ogorodnikova 6, Konstantin Shelepin 6, Yurij Shelepin 1
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1 Laboratory of Physiology of Vision, Institute of Physiology named after I.P. Pavlov, 199034, Makarova embankment, 6, St. Petersburg, Russian Federation2 Department of Photonics and Optical Information Technology, ITMO University, 197101, Kronverksky prospekt, 49, St. Petersburg, Russian Federation3 St. Petersburg State Institute of Psychology and Social Work, 199178, 12th line Vasilyevsky Island, 13 "A", St. Petersburg, Russian Federation4 Railway Clinical Hospital, 192007, Borovaya Street, 55, St. Petersburg, Russian Federation5 Laboratory of Information Technologies and Mathematical Modeling, Institute of Physiology named after I.P. Pavlov, 199034, Makarova embankment, 6, St. Petersburg, Russian Federation6 Laboratory of Psychophysiology of Speech, Institute of Physiology named after I.P. Pavlov, 199034, Makarova embankment, 6, St. Petersburg, Russian Federation* Corresponding Author
International Journal of Clinical Medicine and Bioengineering, 2(3), September 2022, 1-15, https://doi.org/10.35745/ijcmb2022v02.03.0001
Submitted: 03 July 2022, Published: 30 September 2022
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ABSTRACT

This review provides a detailed description of the Gollin test technique based on the recognition of fragmented images. Important stages in the development of this method are considered, too. The attention is paid to a review of our research conducted using the Gollin test to solve various problems in studying the mechanisms of signal extraction from noise, invariant perception, the insight phenomenon, and modeling the functioning of the nervous system. The neurophysiological mechanisms of incomplete image recognition are discussed. Suggestions are made for possible ways of the further development of the technique and its application in fundamental psychophysiology, systems of artificial intelligence, and medicine.
Keywords: Gollin test, Incomplete images, Visual perception, Signal extraction from noise

CITATION (APA)

Morozov, S., Pronin, S., Kniazeva, M., Pavlov, A., Solovyev, N., Reituzov, V., Chikhman, V., Ogorodnikova, E., Shelepin, K., & Shelepin, Y. (2022). Physiology and Technology of Clinical Gollin Test. International Journal of Clinical Medicine and Bioengineering, 2(3), 1-15. https://doi.org/10.35745/ijcmb2022v02.03.0001