Rearrangement of the Activity of Neural Networks in the Human Brain on Reaching the Recognition Threshold for Fragmented Images

Shelepin, K. Yu.; Shelepin, Yu. E.

doi:10.1007/s11055-021-01061-x

Cited by 3 publications

(2 citation statements)

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“…Recognition of an object in the test improves gradually as the contour becomes larger to form an image of randomly appearing fragments. This advantage provides the basis for the successful use of the test in fMRI studies [49]. As known well, magnetic resonance imaging has a high spatial but relatively low temporal resolution.…”

Section: Clinical Application Of Gollin Testmentioning

confidence: 95%

“…In performing the Golin test using synchronized neuroimaging methods (fMRI), the heuristic type of solving sensory-cognitive problems is provided by the restructuring of large-scale neural networks covering various zones of the occipital, temporal parietal, and frontal areas [49]. Their activation is characterized by the opposition at the moment of making a decision.…”

Section: Neurophysiological Mechanisms Of Gollin Test Image Recognitionmentioning

confidence: 99%

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Physiology and Technology of Clinical Gollin Test

Morozov,

Pronin,

Kniazeva

et al. 2022

IJCMB

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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.

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Section: Clinical Application Of Gollin Testmentioning

confidence: 95%

Section: Neurophysiological Mechanisms Of Gollin Test Image Recognitionmentioning

confidence: 99%