拓扑神经科学:连接电路与功能。

IF 12.1 1区 医学 Q1 NEUROSCIENCES
Carina Curto, Nicole Sanderson
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引用次数: 0

摘要

我们回顾了拓扑学在神经科学中应用的最新进展。从网格细胞和头向细胞到嗅觉空间的几何,持续同源等现代应用拓扑方法越来越多地用于研究神经回路和感知。除了概述总体情况和回顾拓扑数据分析(TDA)在神经科学中的各种应用之外,我们还深入研究了基本的同源计算,以使神经科学家更容易理解底层数学。还包括对实际注意事项的讨论和对TDA软件的指点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topological Neuroscience: Linking Circuits to Function.

We review recent developments of the use of topology in neuroscience. From grid cells and head direction cells to the geometry of olfactory space, modern applied topology methods such as persistent homology are increasingly being used to study neural circuits and perception. In addition to outlining the big picture and reviewing various applications of topological data analysis (TDA) to neuroscience, we take a deep dive into the basic homology computation to make the underlying mathematics more accessible to neuroscientists. A discussion of practical considerations and pointers to TDA software are also included.

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来源期刊
Annual review of neuroscience
Annual review of neuroscience 医学-神经科学
CiteScore
25.30
自引率
0.70%
发文量
29
期刊介绍: The Annual Review of Neuroscience is a well-established and comprehensive journal in the field of neuroscience, with a rich history and a commitment to open access and scholarly communication. The journal has been in publication since 1978, providing a long-standing source of authoritative reviews in neuroscience. The Annual Review of Neuroscience encompasses a wide range of topics within neuroscience, including but not limited to: Molecular and cellular neuroscience, Neurogenetics, Developmental neuroscience, Neural plasticity and repair, Systems neuroscience, Cognitive neuroscience, Behavioral neuroscience, Neurobiology of disease. Occasionally, the journal also features reviews on the history of neuroscience and ethical considerations within the field.
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