眼内运动条纹的早期视觉特征和益处。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2025-09-29 eCollection Date: 2025-09-01 DOI:10.1371/journal.pcbi.1013544
Richard Schweitzer, Thomas Seel, Jörg Raisch, Martin Rolfs
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引用次数: 0

摘要

当眼球运动在视网膜上高速移动视觉投影时,通常会引起运动条纹。为了研究跳眼内运动条纹的视觉后果,我们在扫视过程中同时记录眼球追踪和脑电图,同时在四个方向上呈现连续的“条纹”或明显的步状运动。我们发现,当运动条纹可用时,二次扫视潜伏期显著减少,并且改进了对脑电图信号的扫视后目标位置的解码。这些信号早在扫视偏移后50 ms出现,枕部地形清晰。利用生理上合理的视觉处理模型,我们提供了证据,证明目标的运动轨迹是在定向选择通道中编码的,并且凝视纠正的速度与由扫眼运动和目标运动结合产生的视觉动力学有关,这为扫眼内运动条纹的行为益处提供了一个简洁的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early visual signatures and benefits of intra-saccadic motion streaks.

Eye movements routinely induce motion streaks as they shift visual projections across the retina at high speeds. To investigate the visual consequences of intra-saccadic motion streaks, we co-registered eye tracking and EEG while gaze-contingently shifting target objects during saccades, presenting either continuous, 'streaky' or apparent, step-like motion in four directions. We found significant reductions of secondary saccade latency, as well as improved decoding of the post-saccadic target location from the EEG signal when motion streaks were available. These signals arose as early as 50 ms after saccade offset and had a clear occipital topography. Using a physiologically plausible visual processing model, we provide evidence that the target's motion trajectory is coded in orientation-selective channels and that speed of gaze correction was linked to the visual dynamics arising from the combination of saccadic and target motion, providing a parsimonious explanation of the behavioral benefits of intra-saccadic motion streaks.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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