What can topology tell us about the neural code

C. Curto
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引用次数: 101

Abstract

Neuroscience is undergoing a period of rapid experimental progress and expansion. New mathematical tools, previously unknown in the neuroscience community, are now being used to tackle fundamental questions and analyze emerging data sets. Consistent with this trend, the last decade has seen an uptick in the use of topological ideas and methods in neuroscience. In this talk I will survey recent applications of topology in neuroscience, and explain why topology is an especially natural tool for understanding neural codes. Note: This is a write-up of my talk for the Current Events Bulletin, held at the 2016 Joint Math Meetings in Seattle, WA.
拓扑学能告诉我们关于神经编码的什么
神经科学正在经历一个快速实验进展和扩展的时期。新的数学工具,以前在神经科学界未知,现在被用来解决基本问题和分析新出现的数据集。与这一趋势相一致的是,在过去十年中,拓扑学思想和方法在神经科学中的应用有所增加。在这次演讲中,我将概述拓扑学在神经科学中的最新应用,并解释为什么拓扑学是理解神经编码的一个特别自然的工具。注:这是我为2016年在华盛顿州西雅图举行的联合数学会议上发表的《时事公报》发表的演讲。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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