Shape selectivity for camouflage-breaking dynamic stimuli in dorsal V4 neurons

被引:24
|
作者
Mysore, Santosh G. [1 ]
Vogels, Rufin [1 ]
Raiguel, Steven E. [1 ]
Orban, Guy A. [1 ]
机构
[1] Catholic Univ Louvain, Neuro & Psychofysiol Lab, Sch Med, B-3000 Louvain, Belgium
关键词
camouflage; cue invariance; kinetic boundary; single cell; temporal frequency; ventral stream;
D O I
10.1093/cercor/bhm176
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Motion is a potent cue for breaking camouflage in the natural world. To understand the neural basis of this phenomenon, one must utilize moving shapes defined by coherent motion of random texture elements against a similar, but stationary texture. To investigate how well neurons in area V4 process this novel, ecologically relevant stimulus and to compare shape selectivity for these shapes with static and other moving shapes, we tested V4 neurons with 5 static or moving shapes defined either by luminance or kinetic cues. The kinetic cues included a temporal frequency cue due to the difference in temporal frequencies of the moving dots inside the shape boundary and stationary dots outside the boundary. Therefore, static opponent motion-defined shapes without this cue were tested as an additional control. Approximately 44% (95/216) of V4 neurons showed shape selectivity. Analyses of these selective neurons both at single-neuron and population levels revealed that the shape-selective V4 neurons responded selectively to the moving kinetic shapes and that these neurons demonstrated robust invariance for shape preference across different shape conditions. Cue-invariant shape selectivity was more pronounced when kinetic shapes included the temporal frequency cue. This invariance may be rooted in nonlinearities occurring early in the visual pathway.
引用
收藏
页码:1429 / 1443
页数:15
相关论文
共 50 条
  • [21] Attention increases sensitivity of V4 neurons
    Reynolds, JH
    Pasternak, T
    Desimone, R
    NEURON, 2000, 26 (03) : 703 - 714
  • [22] A Deep Dive to Illuminate V4 Neurons
    Batista, Aaron P.
    Kording, Konrad P.
    TRENDS IN NEUROSCIENCES, 2019, 42 (09) : 563 - 564
  • [23] Population coding of shape in area V4
    Pasupathy, A
    Connor, CE
    NATURE NEUROSCIENCE, 2002, 5 (12) : 1332 - 1338
  • [24] Sparse representation in the construction of curvature selectivity in V4
    Hatori, Y.
    Mashita, T.
    Sakai, K.
    PERCEPTION, 2013, 42 : 149 - 149
  • [25] Population coding of shape in area V4
    Anitha Pasupathy
    Charles E. Connor
    Nature Neuroscience, 2002, 5 : 1332 - 1338
  • [26] Effects of Luminance Contrast on the Color Selectivity of Neurons in the Macaque Area V4 and Inferior Temporal Cortex
    Namima, Tomoyuki
    Yasuda, Masaharu
    Banno, Taku
    Okazawa, Gouki
    Komatsu, Hidehiko
    JOURNAL OF NEUROSCIENCE, 2014, 34 (45): : 14934 - 14947
  • [27] Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion
    Choi, Hannah
    Pasupathy, Anitha
    Shea-Brown, Eric
    NEURAL COMPUTATION, 2018, 30 (05) : 1209 - 1257
  • [28] A Model of V4 Neurons Based on Sparse Coding
    Wei, Hui
    Dong, Zheng
    Li, Qiang
    NEURAL INFORMATION PROCESSING (ICONIP 2014), PT I, 2014, 8834 : 239 - 246
  • [29] A class of neurons in macaque V4 with homogenous inputs
    Pollen, DA
    Przybyszewski, AW
    Foote, W
    Rubin, MA
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 1999, 40 (04) : S776 - S776
  • [30] Joint coding of shape and blur in area V4
    Oleskiw, Timothy D.
    Nowack, Amy
    Pasupathy, Anitha
    NATURE COMMUNICATIONS, 2018, 9