scholarly journals The effect of perceptual load on gaze and EEG signals in multi-target visual search with free eye-movements

2019 ◽  
Vol 19 (10) ◽  
pp. 273
Author(s):  
Anthony M Harris ◽  
Joshua O Eayrs ◽  
Nilli Lavie
2019 ◽  
Vol 19 (10) ◽  
pp. 26b
Author(s):  
Ilmari Kurki ◽  
Miguel P Eckstein

2011 ◽  
Vol 11 (11) ◽  
pp. 1323-1323
Author(s):  
C. Williams ◽  
A. Pollatsek ◽  
E. Reichle

2019 ◽  
Author(s):  
Michelle Ramey ◽  
Andrew P. Yonelinas ◽  
John M. Henderson

A hotly debated question is whether memory influences attention through conscious or unconscious processes. To address this controversy, we measured eye movements while participants searched repeated real-world scenes for embedded targets, and we assessed memory for each scene using confidence-based methods to isolate different states of subjective memory awareness. We found that memory-informed eye movements during visual search were predicted both by conscious recollection, which led to a highly precise first eye movement toward the remembered location, and by unconscious memory, which increased search efficiency by gradually directing the eyes toward the target throughout the search trial. In contrast, these eye movement measures were not influenced by familiarity-based memory (i.e., changes in subjective reports of memory strength). The results indicate that conscious recollection and unconscious memory can each play distinct and complementary roles in guiding attention to facilitate efficient extraction of visual information.


2010 ◽  
Vol 9 (8) ◽  
pp. 1210-1210
Author(s):  
L. McIlreavy ◽  
J. Fiser ◽  
P. Bex

2021 ◽  
pp. 2150048
Author(s):  
Hamidreza Namazi ◽  
Avinash Menon ◽  
Ondrej Krejcar

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 ([Formula: see text]), 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.


2012 ◽  
Vol 3 ◽  
Author(s):  
Emily Wiecek ◽  
Louis R. Pasquale ◽  
Jozsef Fiser ◽  
Steven Dakin ◽  
Peter J. Bex

2018 ◽  
Vol 18 (13) ◽  
pp. 11 ◽  
Author(s):  
Sage E. P. Boettcher ◽  
Dejan Draschkow ◽  
Eric Dienhart ◽  
Melissa L.-H. Võ
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