Information-based Analysis of the Coupling between Dynamic Visual Stimuli, Eye Movements, and Brain Signals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50017990" target="_blank" >RIV/62690094:18450/21:50017990 - isvavai.cz</a>

Result on the web

<a href="https://www.worldscientific.com/doi/abs/10.1142/S0219477521500486" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0219477521500486</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0219477521500486" target="_blank" >10.1142/S0219477521500486</a>

Result language

angličtina

Original language name

Information-based Analysis of the Coupling between Dynamic Visual Stimuli, Eye Movements, and Brain Signals

Original language description

Our eyes are always in search of exploring our surrounding environment. The brain controls our eyes&apos; activities through the nervous system. Hence, analyzing the correlation between the activities of the eyes and brain is an important area of research in vision science. This paper evaluates the coupling between the reactions of the eyes and the brain in response to different moving visual stimuli. Since both eye movements and EEG signals (as the indicator of brain activity) contain information, we employed Shannon entropy to decode the coupling between them. Ten subjects looked at four moving objects (dynamic visual stimuli) with different information contents while we recorded their EEG signals and eye movements. The results demonstrated that the changes in the information contents of eye movements and EEG signals are strongly correlated (r=0.7084), which indicates a strong correlation between brain and eye activities. This analysis could be extended to evaluate the correlation between the activities of other organs versus the brain. © 2021 World Scientific Publishing Company.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10103 - Statistics and probability

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Fluctuation and Noise Letters

ISSN

0219-4775

e-ISSN

—

Volume of the periodical

20

Issue of the periodical within the volume

06

Country of publishing house

SG - SINGAPORE

Number of pages

10

Pages from-to

"Article number: 2150048"

UT code for WoS article

000720397700008

EID of the result in the Scopus database

2-s2.0-85103548208