Dissociable Neural Mechanisms Underlie the Effects of Attention on Visual Appearance and Response Bias.

Autor: Sirawaj Itthipuripat, Tanagrit Phangwiwat, Praewpiraya Wiwatphonthana, Prapasiri Sawetsuttipan, Kai-Yu Chang, Störmer, Viola S., Woodman, Geoffrey F., Serences, John T.
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Zdroj: Journal of Neuroscience; 9/27/2023, Vol. 43 Issue 39, p6628-6652, 25p
Abstrakt: A prominent theoretical framework spanning philosophy, psychology, and neuroscience holds that selective attention penetrates early stages of perceptual processing to alter the subjective visual experience of behaviorally relevant stimuli. For example, searching for a red apple at the grocery store might make the relevant color appear brighter and more saturated compared with seeing the exact same red apple while searching for a yellow banana. In contrast, recent proposals argue that data supporting attention-related changes in appearance reflect decision- and motor-level response biases without concurrent changes in perceptual experience. Here, we tested these accounts by evaluating attentional modulations of EEG responses recorded from male and female human subjects while they compared the perceived contrast of attended and unattended visual stimuli rendered at different levels of physical contrast. We found that attention enhanced the amplitude of the P1 component, an early evoked potential measured over visual cortex. A linking model based on signal detection theory suggests that response gain modulations of the P1 component track attention-induced changes in perceived contrast as measured with behavior. In contrast, attentional cues induced changes in the baseline amplitude of posterior alpha band oscillations (;9-12 Hz), an effect that best accounts for cue-induced response biases, particularly when no stimuli are presented or when competing stimuli are similar and decisional uncertainty is high. The observation of dissociable neural markers that are linked to changes in subjective appearance and response bias supports a more unified theoretical account and demonstrates an approach to isolate subjective aspects of selective information processing. [ABSTRACT FROM AUTHOR]
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