V1损伤能教会我们什么关于视觉感知和学习。

IF 5 2区 医学 Q1 NEUROSCIENCES
Matthew R Cavanaugh, Berkeley K Fahrenthold, Krystel R Huxlin
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引用次数: 0

摘要

在人类中,枕部中风总是会损害初级视觉皮层(V1),导致大面积视野的有意识视力丧失。这个不幸的自然实验影响了所有中风患者的很大一部分,但是临床上缺乏公认的视力恢复疗法,尽管对由此导致的视觉缺陷和在视野受影响部分矛盾地存活的感知能力进行了丰富的研究。在过去的二十年里,越来越多的证据表明,通过视觉再训练来检测或区分盲区中的刺激可以恢复感知能力,从而挑战了v1损伤的成人视觉系统无法恢复的临床教条。这篇综述总结了培训方法的主要发展,它们揭示的一些机械见解,以及已经出现的限制和机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What V1 Damage Can Teach Us About Visual Perception and Learning.

In humans, occipital strokes invariably damage the primary visual cortex (V1), causing a loss of conscious vision over large portions of the visual field. This unfortunate experiment of nature affects a significant proportion of all stroke victims, but there is a lack of accepted vision restoration therapies clinically, despite a rich history of studies into the resulting visual deficit and the perceptual abilities that paradoxically survive in affected portions of the visual field. Over the last two decades, the clinical dogma that V1-damaged adult visual systems cannot recover has been challenged by accumulating evidence that visual retraining to detect or discriminate stimuli in the blind field can restore perceptual abilities. This review summarizes key developments in training approaches, some of the mechanistic insights they have revealed, and limitations and opportunities that have emerged.

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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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