.png){kind=icon}
返回
Learning efficient internal representations from natural image collections
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2004.01.146.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Learning in sensory systems takes place after a repeated exposure to the incoming signals and many ideas based on information theoretical principles have been proposed to explain the synaptic adaptation which improves the coding capabilities of sensory areas. In this paper we want to emphasize that a simple, natural learning rule can be derived from a careful treatment of image redundancies. The learning rule is used to split images into independent components which connect different resolution levels, in a nonlinear way. The result shows the biological plausibility of this coding strategy not only in the visual pathway but also in other sensory modalities. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
sensory coding
learning
feature detectors
natural images
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
暂无机构信息
引用论文
分享收藏Physics of cellular self-assembly– a microscopic model and mathematical framework for faster maturation of bioprinted tissues.png)
Bioprinting
BioprintingIF0
PREAI
分享收藏The reconstruction of the “Fontana di Sala Grande”: And some hypothesis about its original layout“Fontana di Sala Grande”的重建：及其原始布局的一些假设
PREAI
分享收藏Development of Novel Rifampicin-Derived P-Glycoprotein Activators/Inducers. Synthesis, In Silico Analysis and Application in the RBE4 Cell Model, Using Paraquat as SubstratePLoS ONE
OAAI
PLoS ONEIF0
OAAI分享收藏Should double cord blood transplants be the preferred choice when a sibling donor is unavailable?OAAI
OAAI分享收藏
查看更多内容