Information-based Analysis of the Coupling between Dynamic Visual Stimuli, Eye Movements, and Brain Signals
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Information-based Analysis of the Coupling between Dynamic Visual Stimuli, Eye Movements, and Brain Signals
Popis výsledku v původním jazyce
Our eyes are always in search of exploring our surrounding environment. The brain controls our eyes' 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.
Název v anglickém jazyce
Information-based Analysis of the Coupling between Dynamic Visual Stimuli, Eye Movements, and Brain Signals
Popis výsledku anglicky
Our eyes are always in search of exploring our surrounding environment. The brain controls our eyes' 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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10103 - Statistics and probability
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Fluctuation and Noise Letters
ISSN
0219-4775
e-ISSN
—
Svazek periodika
20
Číslo periodika v rámci svazku
06
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
10
Strana od-do
"Article number: 2150048"
Kód UT WoS článku
000720397700008
EID výsledku v databázi Scopus
2-s2.0-85103548208