Coding Principles in Adaptation.

IF 5 2区 医学 Q1 NEUROSCIENCES
Alison I Weber, Kamesh Krishnamurthy, Adrienne L Fairhall
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引用次数: 53

Abstract

Adaptation is a common principle that recurs throughout the nervous system at all stages of processing. This principle manifests in a variety of phenomena, from spike frequency adaptation, to apparent changes in receptive fields with changes in stimulus statistics, to enhanced responses to unexpected stimuli. The ubiquity of adaptation leads naturally to the question: What purpose do these different types of adaptation serve? A diverse set of theories, often highly overlapping, has been proposed to explain the functional role of adaptive phenomena. In this review, we discuss several of these theoretical frameworks, highlighting relationships among them and clarifying distinctions. We summarize observations of the varied manifestations of adaptation, particularly as they relate to these theoretical frameworks, focusing throughout on the visual system and making connections to other sensory systems.

适应中的编码原则。
适应是一个共同的原则,在整个神经系统的所有处理阶段反复出现。这一原理体现在各种现象中,从尖峰频率的适应,到随着刺激统计数据的变化而出现的感受野的明显变化,再到对意外刺激的反应增强。适应的普遍性自然引出了一个问题:这些不同类型的适应有什么目的?为了解释适应性现象的功能作用,人们提出了一系列不同的理论,往往高度重叠。在这篇综述中,我们讨论了这些理论框架中的几个,强调了它们之间的关系,并澄清了它们之间的区别。我们总结了各种适应表现的观察结果,特别是当它们与这些理论框架相关时,重点关注视觉系统并与其他感觉系统建立联系。
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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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