Perceptual consequences of feature-based attentional enhancement and suppression

被引:21
|
作者
Ho, Tiffany C. [1 ]
Brown, Scott [2 ]
Abuyo, Newton A. [1 ]
Ku, Eun-Hae J. [1 ]
Serences, John T. [1 ,3 ]
机构
[1] Univ Calif San Diego, Dept Psychol, La Jolla, CA 92093 USA
[2] Univ Newcastle, Sch Psychol, Callaghan, NSW 2308, Australia
[3] Univ Calif San Diego, Grad Program Neurosci, San Diego, CA 92103 USA
来源
JOURNAL OF VISION | 2012年 / 12卷 / 08期
关键词
visual attention; top-down attention; feature-based attention; suppression; enhancement; RESPONSE-TIME; SPATIAL ATTENTION; VISUAL-ATTENTION; SET-SIZE; AREA MT; DIRECTION; MODEL; MODULATION; SELECTIVITY; MECHANISMS;
D O I
10.1167/12.8.15
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Feature-based attention has been shown to enhance the responses of neurons tuned to an attended feature while simultaneously suppressing responses of neurons tuned to unattended features. However, the influence of these suppressive neuronal-level modulations on perception is not well understood. Here, we investigated the perceptual consequences of feature-based attention by having subjects judge which of four random dot patterns (RDPs) contained a motion signal (Experiment 1) or which of four RDPs contained the most salient nonrandom motion signal (Experiment 2). Subjects viewed pre-cues which validly, invalidly, or neutrally cued the direction of the target RDP. Behavioral data were fit using the linear ballistic accumulator (LBA) model; the model design that best described the data revealed that the rate of sensory evidence accumulation (drift rate) was highest on valid trials and systematically decreased until the cued direction and the target direction were orthogonal. These results demonstrate behavioral correlates of both feature-based attentional enhancement and suppression.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Strategic deployment of feature-based attentional gain in primate visual cortex
    Kozyrev, Vladislav
    Daliri, Mohammad Reza
    Schwedhelm, Philipp
    Treue, Stefan
    PLOS BIOLOGY, 2019, 17 (08)
  • [32] The Speed of Feature-Based Attention: Attentional Advantage Is Slow, but Selection Is Fast
    Huang, Liqiang
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2010, 36 (06) : 1382 - 1390
  • [33] A FEATURE-BASED APPROACH FOR LIGHT FIELD VIDEO ENHANCEMENT
    Brizzi, Michele
    Battisti, Federica
    Neri, Alessandro
    2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2019, : 1204 - 1209
  • [34] Effective Connectivity During Feature-Based Attentional Capture: Evidence Against the Attentional Reorienting Hypothesis of TPJ
    DiQuattro, Nicholas E.
    Sawaki, Risa
    Geng, Joy J.
    CEREBRAL CORTEX, 2014, 24 (12) : 3131 - 3141
  • [35] The Attentional Suppressive Surround: Eccentricity, Location-Based and Feature-Based Effects and Interactions
    Yoo, Sang-Ah
    Tsotsos, John K.
    Fallah, Mazyar
    FRONTIERS IN NEUROSCIENCE, 2018, 12
  • [36] Perceptual and neural mechanisms of visual attentional suppression
    Gal, V.
    Kozak, L. R.
    Kobor, I.
    Banko, E.
    Serences, J.
    Vidnyanszky, Z.
    PERCEPTION, 2007, 36 : 115 - 115
  • [37] The effects of attentional suppression on sequential perceptual decisions
    Houborg, Christian
    Pascucci, David
    Kristjansson, Arni
    PERCEPTION, 2022, 51 : 64 - 64
  • [38] Attentional modulation of perceptual comparison for feature binding
    Kuo, Bo-Cheng
    Rotshtein, Pia
    Yeh, Yei-Yu
    BRAIN AND COGNITION, 2011, 77 (03) : 335 - 344
  • [39] Feature-Based Attentional Weighting and Re-weighting in the Absence of Visual Awareness
    Gueldener, Lasse
    Juellig, Antonia
    Soto, David
    Pollmann, Stefan
    FRONTIERS IN HUMAN NEUROSCIENCE, 2021, 15
  • [40] Continuous and discrete representations of feature-based attentional priority in human frontoparietal network
    Gong, Mengyuan
    Liu, Taosheng
    COGNITIVE NEUROSCIENCE, 2020, 11 (1-2) : 47 - 59