果蝇的基本运动检测:算法和机制。

IF 5 2区 医学 Q1 NEUROSCIENCES
Helen H Yang, Thomas R Clandinin
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引用次数: 40

摘要

视觉世界中的运动为指导有视力的动物的行为提供了重要的信息。此外,由于视觉运动估计需要跨输入和随时间的信号比较,因此它代表了一种范例和可推广的神经计算。关注果蝇的视觉系统,技术进步的爆炸式增长最近加速了实验的进展,我们回顾了我们对如何,算法和机械,运动信号首先计算的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Elementary Motion Detection in Drosophila: Algorithms and Mechanisms.

Elementary Motion Detection in Drosophila: Algorithms and Mechanisms.

Elementary Motion Detection in Drosophila: Algorithms and Mechanisms.

Elementary Motion Detection in Drosophila: Algorithms and Mechanisms.

Motion in the visual world provides critical information to guide the behavior of sighted animals. Furthermore, as visual motion estimation requires comparisons of signals across inputs and over time, it represents a paradigmatic and generalizable neural computation. Focusing on the Drosophila visual system, where an explosion of technological advances has recently accelerated experimental progress, we review our understanding of how, algorithmically and mechanistically, motion signals are first computed.

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来源期刊
Annual Review of Vision Science
Annual Review of Vision Science Medicine-Ophthalmology
CiteScore
11.10
自引率
1.70%
发文量
19
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.
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