Feature-based attention warps the perception of visual features

被引:7
|
作者
Chapman, Angus F. [1 ,4 ]
Chunharas, Chaipat [2 ]
Stormer, Viola S. [3 ]
机构
[1] Univ Calif San Diego, Dept Psychol, La Jolla, CA 92092 USA
[2] Chulalongkorn Univ, KCMH Chula Neurosci Ctr, Dept Internal Med, Cognit Clin & Computat Neurosci Lab,Thai Red Cross, Bangkok 10330, Thailand
[3] Dartmouth Coll, Dept Brain & Psychol Sci, Hanover, NH USA
[4] Boston Univ, Dept Psychol & Brain Sci, 64 Cummington Mall, Boston, MA 02215 USA
来源
SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期
基金
美国国家科学基金会;
关键词
SPATIAL ATTENTION; SELECTIVE ATTENTION; NEURAL MECHANISMS; COLOR; AREA; CONTRAST; RESPONSES; STIMULUS; NEURONS; V4;
D O I
10.1038/s41598-023-33488-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Selective attention improves sensory processing of relevant information but can also impact the quality of perception. For example, attention increases visual discrimination performance and at the same time boosts apparent stimulus contrast of attended relative to unattended stimuli. Can attention also lead to perceptual distortions of visual representations? Optimal tuning accounts of attention suggest that processing is biased towards "off-tuned" features to maximize the signal-to-noise ratio in favor of the target, especially when targets and distractors are confusable. Here, we tested whether such tuning gives rise to phenomenological changes of visual features. We instructed participants to select a color among other colors in a visual search display and subsequently asked them to judge the appearance of the target color in a 2-alternative forced choice task. Participants consistently judged the target color to appear more dissimilar from the distractor color in feature space. Critically, the magnitude of these perceptual biases varied systematically with the similarity between target and distractor colors during search, indicating that attentional tuning quickly adapts to current task demands. In control experiments we rule out possible non-attentional explanations such as color contrast or memory effects. Overall, our results demonstrate that selective attention warps the representational geometry of color space, resulting in profound perceptual changes across large swaths of feature space. Broadly, these results indicate that efficient attentional selection can come at a perceptual cost by distorting our sensory experience.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Feature-based attention warps the perception of visual features
    Angus F. Chapman
    Chaipat Chunharas
    Viola S. Störmer
    [J]. Scientific Reports, 13 (1)
  • [2] Combined effects of feature-based working memory and feature-based attention on the perception of visual motion direction
    Mendoza, Diego
    Schneiderman, Megan
    Kaul, Christian
    Martinez-Trujillo, Julio
    [J]. JOURNAL OF VISION, 2011, 11 (01):
  • [3] Feature-based attention in visual cortex
    Maunsell, John H. R.
    Treue, Stefan
    [J]. TRENDS IN NEUROSCIENCES, 2006, 29 (06) : 317 - 322
  • [4] Feature-based visual attention: the probabilistic account
    Vincent, B. T.
    [J]. PERCEPTION, 2008, 37 : 3 - 3
  • [5] Feature-based attention modulates the perception of object contours
    Stojanoski, Boge
    Niemeier, Matthias
    [J]. JOURNAL OF VISION, 2007, 7 (14):
  • [6] Feature-based attention influences later temporal perception
    Fuminori Ono
    Kyoko Yamada
    Kazumitsu Chujo
    Jun-ichiro Kawahara
    [J]. Perception & Psychophysics, 2007, 69 : 544 - 549
  • [7] Feature-based attention influences later temporal perception
    Ono, Fuminori
    Yamada, Kyoko
    Chujo, Kazumitsu
    Kawahara, Jun-Ichiro
    [J]. PERCEPTION & PSYCHOPHYSICS, 2007, 69 (04): : 544 - 549
  • [8] ROBUST VISUAL TRACKING USING FEATURE-BASED VISUAL ATTENTION
    Zhang, Shengping
    Yao, Hongxun
    Liu, Shaohui
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 1150 - 1153
  • [9] Feature-Based Attention and Feature-Based Expectation
    Summerfield, Christopher
    Egner, Tobias
    [J]. TRENDS IN COGNITIVE SCIENCES, 2016, 20 (06) : 401 - 404
  • [10] Feature-based attention modulates feedforward visual processing
    Zhang, Weiwei
    Luck, Steven J.
    [J]. NATURE NEUROSCIENCE, 2009, 12 (01) : 24 - 25