Dichoptic vision in the absence of attention: neither fusion nor rivalry

被引:0
|
作者
Cheng Stella Qian
Sam Ling
Jan W. Brascamp
机构
[1] Michigan State University,Department of Psychology
[2] Boston University,Department of Psychological and Brain Sciences
[3] Boston University,Center for Systems Neuroscience
[4] Michigan State University,Neuroscience Program
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
When the two eyes’ processing streams meet in visual cortex, two things can happen: sufficiently similar monocular inputs are combined into a fused representation, whereas markedly different inputs engage in rivalry. Interestingly, the emergence of rivalry appears to require attention. Withdrawing attention causes the alternating monocular dominance that characterizes rivalry to cease, apparently allowing both monocular signals to be processed simultaneously. What happens to these signals in this case, however, remains something of a mystery; are they fused into an integrated representation? In a set of experiments, we show this not to be the case: visual aftereffects are consistent with the simultaneous yet separate presence of two segregated monocular representations, rather than a joint representation. These results provide evidence that dichoptic vision without attention prompts a third and previously unknown mode, where both eyes’ inputs receive equal processing, but escape interocular fusion.
引用
收藏
相关论文
共 50 条
  • [41] Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
    Lee, Sanghyeok
    Choi, Joonmyung
    Kim, Hyunwoo J.
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 15741 - 15750
  • [42] Single Image Dehazing via Fusion of Multilevel Attention Network for Vision-Based Measurement Applications
    Sahu, Geet
    Seal, Ayan
    Jaworek-Korjakowska, Joanna
    Krejcar, Ondrej
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [43] Deep Camera-Radar Fusion with an Attention Framework for Autonomous Vehicle Vision in Foggy Weather Conditions
    Ogunrinde, Isaac
    Bernadin, Shonda
    SENSORS, 2023, 23 (14)
  • [44] Multi-scale feature fusion attention of stereo vision depth recovery network based on Swin Transformer
    Zou, Changjun
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2025, 19 (01): : 149 - 166
  • [45] Residual attention guided vision transformer with acoustic-vibration signal feature fusion for cross-domain fault diagnosis
    Lian, Yan
    Wang, Jinrui
    Li, Zhuoli
    Liu, Wen
    Huang, Limei
    Jiang, Xingxing
    ADVANCED ENGINEERING INFORMATICS, 2025, 64
  • [46] Multi-view Stereo Vision Reconstruction Network with Fusion Attention Mechanism and Multi-layer Dynamic Deformable Convolution
    Sun, Kai
    Zhang, Cheng
    Zhan, Tian
    Su, Di
    Binggong Xuebao/Acta Armamentarii, 2024, 45 (10): : 3631 - 3641
  • [47] SFPFusion: An Improved Vision Transformer Combining Super Feature Attention and Wavelet-Guided Pooling for Infrared and Visible Images Fusion
    Li, Hui
    Xiao, Yongbiao
    Cheng, Chunyang
    Song, Xiaoning
    SENSORS, 2023, 23 (18)
  • [48] Integrating Vision Transformer-Based Bilinear Pooling and Attention Network Fusion of RGB and Skeleton Features for Human Action Recognition
    Sun, Yaohui
    Xu, Weiyao
    Yu, Xiaoyi
    Gao, Ju
    Xia, Ting
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2023, 16 (01)
  • [49] Integrating Vision Transformer-Based Bilinear Pooling and Attention Network Fusion of RGB and Skeleton Features for Human Action Recognition
    Yaohui Sun
    Weiyao Xu
    Xiaoyi Yu
    Ju Gao
    Ting Xia
    International Journal of Computational Intelligence Systems, 16
  • [50] RFTNet: Region-Attention Fusion Network Combined with Dual-Branch Vision Transformer for Multimodal Brain Tumor Image Segmentation
    Jiao, Chunxia
    Yang, Tiejun
    Yan, Yanghui
    Yang, Aolin
    ELECTRONICS, 2024, 13 (01)