functional field of view
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2021 ◽  
Vol 10 (14) ◽  
pp. 14
Author(s):  
Foroogh Shamsi ◽  
Victoria Chen ◽  
Rong Liu ◽  
Valentina Pergher ◽  
MiYoung Kwon

Author(s):  
Garry F Power ◽  
Elizabeth G Conlon ◽  
Andrew J Zele

Abstract Objectives As we age, the functional field of view (FFOV) declines and these declines predict falls and motor vehicle accidents in older adults (Owsley, C. (2013). Visual processing speed. Vision Research, 90, 52–56. doi:10.1016/j.visres.2012.11.014). To increase understanding of possible causes of this decline, the current study explored whether the FFOV in older adults is associated with the sensitivity of the magnocellular and parvocellular sub-cortical pathways. Method Forty-four younger (M = 27.18, SD = 5.40 years) and 44 older (M = 72.18, SD = 5.82 years) adults completed an FFOV test and the steady- and pulsed-pedestal paradigms of Pokorny and Smith (Pokorny, J., & Smith, V. C. (1997). Psychophysical signatures associated with magnocellular and parvocellular pathway contrast gain. Journal of the Optical Society of America. A, Optics, Image Science, and Vision, 14, 2477–2486. doi:10.1364/josaa.14.002477) as measures of magnocellular and parvocellular pathways, respectively. Results Older adults made more FFOV errors and had higher contrast discrimination thresholds in both the steady- and pulsed-pedestal paradigms, than younger adults. FFOV errors in the younger group were not related to contrast discrimination thresholds. In multiple regression, older group FFOV errors showed a strong unique association with contrast discrimination thresholds mediated via the magnocellular, but not the parvocellular pathway. Discussion We infer that reduced magnocellular pathway contrast sensitivity may contribute to reduced functional vision in older adults.


2020 ◽  
Vol 28 (1) ◽  
pp. 73-85
Author(s):  
Yuki Harada ◽  
Hiroyuki Mitsudo ◽  
Junji Ohyama

2017 ◽  
Vol 40 ◽  
Author(s):  
Laurent Itti

AbstractHulleman & Olivers (H&O) make a much-needed stride forward for a better understanding of visual search behavior by rejecting theories based on discrete stimulus items. I propose that the framework could be further enhanced by clearly delineating distinct mechanisms for attention guidance, selection, and enhancement during visual search, instead of conflating them into a single functional field of view.


Author(s):  
Johan Hulleman ◽  
Christian N. L. Olivers

AbstractThe way the cognitive system scans the visual environment for relevant information – visual search in short – has been a long-standing central topic in vision science. From its inception as a research topic, and despite a number of promising alternative perspectives, the study of visual search has been governed by the assumption that a search proceeds on the basis of individual items (whether processed in parallel or not). This has led to the additional assumptions that shallow search slopes (at most a few tens of milliseconds per item for target-present trials) are most informative about the underlying process, and that eye movements are an epiphenomenon that can be safely ignored. We argue that the evidence now overwhelmingly favours an approach that takes fixations, not individual items, as its central unit. Within fixations, items are processed in parallel, and the functional field of view determines how many fixations are needed. In this type of theoretical framework, there is a direct connection between target discrimination difficulty, fixations, and reaction time (RT) measures. It therefore promises a more fundamental understanding of visual search by offering a unified account of both eye movement and manual response behaviour across the entire range of observed search efficiency, and provides new directions for research. A high-level conceptual simulation with just one free and four fixed parameters shows the viability of this approach.


PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0133237 ◽  
Author(s):  
Yongning Song ◽  
Yuji Hakoda ◽  
Wakako Sanefuji ◽  
Chen Cheng

2015 ◽  
Vol 29 (4) ◽  
pp. 592-599 ◽  
Author(s):  
Yuki Harada ◽  
Yuji Hakoda ◽  
Daiichiro Kuroki ◽  
Hiroyuki Mitsudo

2010 ◽  
Vol 24 (5) ◽  
pp. 886-891 ◽  
Author(s):  
Tomoe Nobata ◽  
Yuji Hakoda ◽  
Yuri Ninose

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