Retinal Encoding of Natural Scenes.

IF 5 2区医学 Q1 NEUROSCIENCES

Annual Review of Vision Science Pub Date : 2022-06-08 DOI:10.1146/annurev-vision-100820-114239

Dimokratis Karamanlis, H. Schreyer, T. Gollisch

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引用次数: 5

Abstract

An ultimate goal in retina science is to understand how the neural circuit of the retina processes natural visual scenes. Yet most studies in laboratories have long been performed with simple, artificial visual stimuli such as full-field illumination, spots of light, or gratings. The underlying assumption is that the features of the retina thus identified carry over to the more complex scenario of natural scenes. As the application of corresponding natural settings is becoming more commonplace in experimental investigations, this assumption is being put to the test and opportunities arise to discover processing features that are triggered by specific aspects of natural scenes. Here, we review how natural stimuli have been used to probe, refine, and complement knowledge accumulated under simplified stimuli, and we discuss challenges and opportunities along the way toward a comprehensive understanding of the encoding of natural scenes. Expected final online publication date for the Annual Review of Vision Science, Volume 8 is September 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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自然场景的视网膜编码。

视网膜科学的最终目标是了解视网膜的神经回路如何处理自然视觉场景。然而，长期以来，实验室里的大多数研究都是用简单的人工视觉刺激进行的，比如全场照明、光点或光栅。潜在的假设是，这样识别的视网膜特征可以延续到更复杂的自然场景中。随着相应的自然环境的应用在实验研究中变得越来越普遍，这一假设正在接受测试，并且有机会发现由自然场景的特定方面触发的处理特征。在这里，我们回顾了如何利用自然刺激来探索、完善和补充在简化刺激下积累的知识，并讨论了在全面理解自然场景编码的过程中所面临的挑战和机遇。《视觉科学年度评论》第8卷的最终在线出版日期预计为2022年9月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annual Review of Vision Science Medicine-Ophthalmology

CiteScore

11.10

自引率

1.70%

发文量

期刊介绍： The Annual Review of Vision Science reviews progress in the visual sciences, a cross-cutting set of disciplines which intersect psychology, neuroscience, computer science, cell biology and genetics, and clinical medicine. The journal covers a broad range of topics and techniques, including optics, retina, central visual processing, visual perception, eye movements, visual development, vision models, computer vision, and the mechanisms of visual disease, dysfunction, and sight restoration. The study of vision is central to progress in many areas of science, and this new journal will explore and expose the connections that link it to biology, behavior, computation, engineering, and medicine.