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模拟单神经元动力学与计算:细节与抽象的平衡

Modeling single-neuron dynamics and computations: a balance of detail and abstraction.

作者信息

Herz Andreas V M, Gollisch Tim, Machens Christian K, Jaeger Dieter

机构信息

Bernstein Center for Computational Neuroscience Berlin and Humboldt-Universität zu Berlin, Berlin 10099, Germany.

出版信息

Science. 2006 Oct 6;314(5796):80-5. doi: 10.1126/science.1127240.

Abstract

The fundamental building block of every nervous system is the single neuron. Understanding how these exquisitely structured elements operate is an integral part of the quest to solve the mysteries of the brain. Quantitative mathematical models have proved to be an indispensable tool in pursuing this goal. We review recent advances and examine how single-cell models on five levels of complexity, from black-box approaches to detailed compartmental simulations, address key questions about neural dynamics and signal processing.

摘要

每个神经系统的基本构建单元都是单个神经元。理解这些结构精妙的元件如何运作,是解开大脑奥秘探索过程中不可或缺的一部分。事实证明,定量数学模型是实现这一目标的必备工具。我们回顾了近期的进展,并研究了从黑箱方法到详细的房室模拟等五个复杂程度层次的单细胞模型,是如何解决有关神经动力学和信号处理的关键问题的。

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