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An introductory review of information theory in the context of computational neuroscience

机译:计算神经科学背景下的信息论概论

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摘要

This article introduces several fundamental concepts in information theory from the perspective of their origins in engineering. Understanding such concepts is important in neuroscience for two reasons. Simply applying formulae from information theory without understanding the assumptions behind their definitions can lead to erroneous results and conclusions. Furthermore, this century will see a convergence of information theory and neuroscience; information theory will expand its foundations to incorporate more comprehensively biological processes thereby helping reveal how neuronal networks achieve their remarkable information processing abilities.
机译:本文从工程学的起源出发,介绍了信息论中的几个基本概念。理解这些概念在神经科学中很重要,原因有两个。简单地使用信息论中的公式而不理解其定义背后的假设可能会导致错误的结果和结论。此外,本世纪将看到信息论与神经科学的融合。信息论将扩大其基础,以纳入更全面的生物学过程,从而帮助揭示神经网络如何实现其卓越的信息处理能力。

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