A Top-Down and Bottom-Up Component of Visual Attention

被引:5
|
作者
Wasserman, Gerald S. [1 ]
Bolbecker, Amanda R. [2 ]
Li, Jia [3 ]
Lim-Kessler, Corrinne C. M. [4 ]
机构
[1] Purdue Univ, Dept Psychol Sci, Sensory Coding Lab, W Lafayette, IN 47907 USA
[2] Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN USA
[3] Harvard Univ, Sch Med, Dept Neurol, Boston, MA 02115 USA
[4] Monmouth Coll, Dept Psychol, Monmouth, IL USA
基金
美国国家航空航天局;
关键词
Efference; Photoreceptor; Receptor potential; Latency; Neuromodulator; Neurocomputation; Octopamine; Substance P; Multifocal electroretinogram; Attention deficit hyperactivity disorder; Psychoses; BRIGHTNESS ENHANCEMENT; LIGHT ADAPTATION; GANGLION-CELLS; LATERAL EYE; SUBSTANCE-P; LIMULUS; OCTOPAMINE; EFFERENCE; SYSTEM; BRAIN;
D O I
10.1007/s12559-010-9058-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new constituent of visual attention theory is proposed based on research in an animal model system. That showed that the neuromodulators released by efference from that animal's brain can accelerate or retard the potentials produced by visual stimulation of that animal's photoreceptors. Such a possibility has never been considered in human behavioral research even though it has been clearly demonstrated that attention can alter the temporal window of visual perception. We therefore propose that attention theory should include new top-down and bottom-up components (TBC) with a top-down component that involves efferents that go from the brain to the photoreceptors and a bottom-up component that involves consequent neuromodulatory alterations of the timing of the afferent photoreceptor potentials evoked by light stimuli. Not long ago, it would have been infeasible to test the validity of TBC in humans. However, newly developed multifocal electroretinogram (mfERG) technology makes it possible to obtain comfortable and objective measures of the timing of human retinal potentials while obtaining quantitative behavioral measures of both the observer's state of attention and of visual performance. If the present prediction is confirmed by such measures, it would allow the mfERG technique to be used for both the objective diagnosis of and the quantitative evaluation of treatments for a variety of attention disorders. These would include attention deficit hyperactivity disorders as well as several psychoses that involve attentional difficulties. The costs of testing TBC are modest; the potential benefits of applying this neurocomputational technology to assist sufferers could be substantial.
引用
收藏
页码:294 / 302
页数:9
相关论文
共 50 条
  • [1] Visual attention: Bottom-up versus top-down
    Connor, CE
    Egeth, HE
    Yantis, S
    [J]. CURRENT BIOLOGY, 2004, 14 (19) : R850 - R852
  • [2] Computational modeling of bottom-up and top-down visual attention
    Itti, Laurent
    [J]. I-PERCEPTION, 2014, 5 (04): : 415 - 415
  • [3] Bottom-up and top-down attention are independent
    Pinto, Yair
    van der Leij, Andries R.
    Sligte, Ilja G.
    Lamme, Victor A. F.
    Scholte, H. Steven
    [J]. JOURNAL OF VISION, 2013, 13 (03): : 16
  • [4] TOP-DOWN AND BOTTOM-UP CONTROL OF ATTENTION
    JOHNSTON, WA
    MALLOY, TE
    FOSS, CL
    [J]. BULLETIN OF THE PSYCHONOMIC SOCIETY, 1979, 14 (04) : 240 - 240
  • [5] The interaction of top-down and bottom-up attention in visual working memory
    Zheng, Weixi
    Sun, Yanchao
    Wu, Hehong
    Sun, Hongwei
    Zhang, Dexiang
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01):
  • [6] Modeling the Interactions of Bottom-Up and Top-Down Guidance in Visual Attention
    Henderickx, David
    Maetens, Kathleen
    Geerinck, Thomas
    Soetens, Eric
    [J]. ATTENTION IN COGNITIVE SYSTEMS, 2009, 5395 : 197 - +
  • [7] On the time course of top-down and bottom-up control of visual attention
    Theeuwes, J
    Atchley, P
    Kramer, AF
    [J]. CONTROL OF COGNITIVE PROCESSES: ATTENTION AND PERFORMANCE XVIII, 2000, : 105 - 124
  • [8] Visual search: Bottom-up or top-down?
    Patel, GA
    Sathian, K
    [J]. FRONTIERS IN BIOSCIENCE, 2000, 5 : D169 - D193
  • [9] Relative Influence of Bottom-Up and Top-Down Attention
    Mancas, Matei
    [J]. ATTENTION IN COGNITIVE SYSTEMS, 2009, 5395 : 212 - 226
  • [10] Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
    Anderson, Peter
    He, Xiaodong
    Buehler, Chris
    Teney, Damien
    Johnson, Mark
    Gould, Stephen
    Zhang, Lei
    [J]. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 6077 - 6086