How AI could lead to a better understanding of the brain

被引:1
作者
Jain, Viren [1 ,2 ]
机构
[1] Google Res, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 USA
[2] Google Team, Connect, Mountain View, CA 94043 USA
关键词
Brain; Machine learning; Neuroscience;
D O I
10.1038/d41586-023-03426-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Early machine-learning systems were inspired by neural networks — now AI might allow neuroscientists to get to grips with the brain’s unique complexities.
引用
收藏
页码:247 / 250
页数:4
相关论文
共 21 条
  • [21] Connectomes across development reveal principles of brain maturation
    Witvliet, Daniel
    Mulcahy, Ben
    Mitchell, James K.
    Meirovitch, Yaron
    Berger, Daniel R.
    Wu, Yuelong
    Liu, Yufang
    Koh, Wan Xian
    Parvathala, Rajeev
    Holmyard, Douglas
    Schalek, Richard L.
    Shavit, Nir
    Chisholm, Andrew D.
    Lichtman, Jeff W.
    Samuel, Aravinthan D. T.
    Zhen, Mei
    [J]. NATURE, 2021, 596 (7871) : 257 - +