Resilience of temporal processing to early and extended visual deprivation

2021 ◽  
Vol 186 ◽  
pp. 80-86
Author(s):  
Jie Ye ◽  
Priti Gupta ◽  
Pragya Shah ◽  
Kashish Tiwari ◽  
Tapan Gandhi ◽  
...  
2019 ◽  
Vol 28 (2) ◽  
pp. 322-332 ◽  
Author(s):  
Aurora J. Weaver ◽  
Jeffrey J. DiGiovanni ◽  
Dennis T. Ries
Keyword(s):  

2021 ◽  
pp. 113292
Author(s):  
Andrea K. Shields ◽  
Mauricio Suarez ◽  
Ken T. Wakabayashi ◽  
Caroline E. Bass

2015 ◽  
Vol 35 (36) ◽  
pp. 12412-12424 ◽  
Author(s):  
A. Stigliani ◽  
K. S. Weiner ◽  
K. Grill-Spector

Vision ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 18
Author(s):  
Olga Lukashova-Sanz ◽  
Siegfried Wahl ◽  
Thomas S. A. Wallis ◽  
Katharina Rifai

With rapidly developing technology, visual cues became a powerful tool for deliberate guiding of attention and affecting human performance. Using cues to manipulate attention introduces a trade-off between increased performance in cued, and decreased in not cued, locations. For higher efficacy of visual cues designed to purposely direct user’s attention, it is important to know how manipulation of cue properties affects attention. In this verification study, we addressed how varying cue complexity impacts the allocation of spatial endogenous covert attention in space and time. To gradually vary cue complexity, the discriminability of the cue was systematically modulated using a shape-based design. Performance was compared in attended and unattended locations in an orientation-discrimination task. We evaluated additional temporal costs due to processing of a more complex cue by comparing performance at two different inter-stimulus intervals. From preliminary data, attention scaled with cue discriminability, even for supra-threshold cue discriminability. Furthermore, individual cue processing times partly impacted performance for the most complex, but not simpler cues. We conclude that, first, cue complexity expressed by discriminability modulates endogenous covert attention at supra-threshold cue discriminability levels, with increasing benefits and decreasing costs; second, it is important to consider the temporal processing costs of complex visual cues.


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