拓扑(电路)
神经科学
计算机科学
同源(生物学)
计算神经科学
持久同源性
生物
数学
算法
生物化学
组合数学
基因
作者
Carina Curto,Nicole Sanderson
标识
DOI:10.1146/annurev-neuro-112723-034315
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI