Approaches to Information-Theoretic Analysis of Neural Activity

被引：57
作者：
Victor J.D. [1 ]
机构：
[1] Department of Neurology and Neuroscience, Weill Medical College of Cornell University, New York, NY
来源：
Biological Theory | 2006年 / 1卷 / 3期
关键词：
direct method; information theory; metric space method; neural coding; sensory; spike trains; systems;
D O I：
10.1162/biot.2006.1.3.302
中图分类号：
学科分类号：
摘要：
Understanding how neurons represent, process, and manipulate information is one of the main goals of neuroscience. These issues are fundamentally abstract, and information theory plays a key role in formalizing and addressing them. However, application of information theory to experimental data is fraught with many challenges. Meeting these challenges has led to a variety of innovative analytical techniques, with complementary domains of applicability, assumptions, and goals. © 2006, Konrad Lorenz Institute for Evolution and Cognition Research.
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页码：302 / 316
页数：14
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