Multi-Timescale Perceptual History Resolves Visual Ambiguity

被引:81
|
作者
Brascamp, Jan W. [1 ]
Knapen, Tomas H. J. [2 ]
Kanai, Ryota [3 ]
Noest, Andre J. [1 ]
van Ee, Raymond [2 ]
van den Berg, Albert V. [1 ]
机构
[1] Univ Utrecht, Helmholtz Inst, Funct Neurobiol, Utrecht, Netherlands
[2] Univ Utrecht, Helmholtz Inst, Dept Phys, Utrecht, Netherlands
[3] CALTECH, Biol Div, Pasadena, CA USA
来源
PLOS ONE | 2008年 / 3卷 / 01期
关键词
D O I
10.1371/journal.pone.0001497
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
When visual input is inconclusive, does previous experience aid the visual system in attaining an accurate perceptual interpretation? Prolonged viewing of a visually ambiguous stimulus causes perception to alternate between conflicting interpretations. When viewed intermittently, however, ambiguous stimuli tend to evoke the same percept on many consecutive presentations. This perceptual stabilization has been suggested to reflect persistence of the most recent percept throughout the blank that separates two presentations. Here we show that the memory trace that causes stabilization reflects not just the latest percept, but perception during a much longer period. That is, the choice between competing percepts at stimulus reappearance is determined by an elaborate history of prior perception. Specifically, we demonstrate a seconds-long influence of the latest percept, as well as a more persistent influence based on the relative proportion of dominance during a preceding period of at least one minute. In case short-term perceptual history and long-term perceptual history are opposed (because perception has recently switched after prolonged stabilization), the long-term influence recovers after the effect of the latest percept has worn off, indicating independence between time scales. We accommodate these results by adding two positive adaptation terms, one with a short time constant and one with a long time constant, to a standard model of perceptual switching.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection
    Rodrigues, Royston
    Bhargava, Neha
    Velmurugan, Rajbabu
    Chaudhuri, Subhasis
    2020 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2020, : 2615 - 2623
  • [42] Multi-timescale analysis of midbrain dopamine neuronal firing activities
    Zhao, Na
    Song, Jian
    Liu, Shenquan
    JOURNAL OF THEORETICAL BIOLOGY, 2023, 556
  • [43] Advantages of GSMaP Data for Multi-Timescale Precipitation Estimation in Luzon
    Lee, Cheng-An
    Huang, Wan-Ru
    EARTH AND SPACE SCIENCE, 2023, 10 (07)
  • [44] Multi-timescale Modelling for the Loading Behaviours of Power Electronics Converter
    Ma, Ke
    Blaabjerg, Frede
    2015 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2015, : 5749 - 5756
  • [45] Experimental study of multi-timescale crack blunting in hydraulic fracture
    Dong, Jing-Nan
    Yuan, Guang-Jie
    Wang, Xiang-Yang
    Chen, Mian
    Jin, Yan
    Zeng, Chao
    Zaman, Musharraf
    PETROLEUM SCIENCE, 2021, 18 (01) : 234 - 244
  • [46] Extracting the multi-timescale activity patterns of online financial markets
    Teruyoshi Kobayashi
    Anna Sapienza
    Emilio Ferrara
    Scientific Reports, 8
  • [47] A workflow for the hybrid modelling and simulation of multi-timescale biological systems
    Herajy, Mostafa
    Liu, Fei
    Heiner, Monika
    BIOSYSTEMS, 2025, 247
  • [48] Mining Generalized Multi-timescale Inconsistency for Detecting Deepfake Videos
    Yu, Yang
    Ni, Rongrong
    Yang, Siyuan
    Ni, Yu
    Zhao, Yao
    Kot, Alex C.
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, : 1532 - 1548
  • [49] Multi-timescale observation of ultrashort pulse laser ablation of copper
    Ito, Yusuke
    Nagato, Keisuke
    Tendo, Haruto
    Hattori, Junya
    Matsuda, Kazuya
    Sugita, Naohiko
    Nakao, Masayuki
    OPTICS COMMUNICATIONS, 2023, 537
  • [50] Data-predictive Control of Multi-Timescale Nonlinear Processes
    Tang, Jun Wen
    Yan, Yitao
    Bao, Jie
    Huang, Biao
    IFAC PAPERSONLINE, 2024, 58 (14): : 109 - 114