Limits to growth: why neuroscience needs large-scale science

被引:0
|
作者
Thomas R Insel
Nora D Volkow
Story C Landis
Ting-Kai Li
James F Battey
Paul Sieving
机构
[1] Director,
[2] National Institute of Mental Health,undefined
[3] National Institutes of Health,undefined
[4] 6001 Executive Boulevard,undefined
[5] Director,undefined
[6] National Institute on Drug Abuse,undefined
[7] Director,undefined
[8] National Institute of Neurological Disorders and Stroke,undefined
[9] Director,undefined
[10] National Institute on Alcohol Abuse and Alcoholism,undefined
[11] Director,undefined
[12] National Institute on Deafness and Other Communication Disorders,undefined
[13] Director,undefined
[14] National Eye Institute,undefined
来源
Nature Neuroscience | 2004年 / 7卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:426 / 427
页数:1
相关论文
共 50 条
  • [41] CONTROLLED GROWTH INHIBITION IN LARGE-SCALE CRYSTAL GROWTH
    JAFFE, H
    KJELLGREN, BRF
    DISCUSSIONS OF THE FARADAY SOCIETY, 1949, (05): : 319 - 322
  • [42] Superprocesses with Coalescing Brownian Spatial Motion as Large-Scale Limits
    D. A. Dawson
    Z. Li
    X. Zhou
    Journal of Theoretical Probability, 2004, 17 : 673 - 692
  • [43] CMB limits on large-scale magnetic fields in an inhomogeneous universe
    Clarkson, CA
    Coley, AA
    Maartens, R
    Tsagas, CG
    CLASSICAL AND QUANTUM GRAVITY, 2003, 20 (08) : 1519 - 1528
  • [44] PERFORMANCE LIMITS OF SENSOR NETWORKS FOR LARGE-SCALE DETECTION APPLICATIONS
    Rachlin, Yaron
    Negi, Rohit
    Khosla, Pradeep
    INTERNATIONAL SEMINARS ON NUCLEAR WAR AND PLANETARY EMERGENCIES - 36TH SESSION, 2007, : 246 - 252
  • [45] Limits of Detecting Text Generated by Large-Scale Language Models
    Varshney, Lav R.
    Keskar, Nitish Shirish
    Socher, Richard
    2020 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA), 2020,
  • [46] Superprocesses with coalescing Brownian spatial motion as large-scale limits
    Dawson, DA
    Li, Z
    Zhou, X
    JOURNAL OF THEORETICAL PROBABILITY, 2004, 17 (03) : 673 - 692
  • [47] SciSciNet: A large-scale open data lake for the science of science research
    Lin, Zihang
    Yin, Yian
    Liu, Lu
    Wang, Dashun
    SCIENTIFIC DATA, 2023, 10 (01)
  • [48] SciSciNet: A large-scale open data lake for the science of science research
    Zihang Lin
    Yian Yin
    Lu Liu
    Dashun Wang
    Scientific Data, 10
  • [49] A Large-Scale Study of Daily Information Needs Captured In Situ
    Church, Karen
    Cherubini, Mauro
    Oliver, Nuria
    ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, 2014, 21 (02)
  • [50] Needs and Challenges for a Platform to Support Large-scale Requirements Engineering
    Fucci, Davide
    Palomares, Cristina
    Franch, Xavier
    Costal, Dolors
    Raatikainen, Mikko
    Stettinger, Martin
    Kurtanovic, Zijad
    Kojo, Tero
    Koenig, Lars
    Falkner, Andreas
    Schenner, Gottfried
    Brasca, Fabrizio
    Mannisto, Tomi
    Felfernig, Alexander
    Maalej, Walid
    PROCEEDINGS OF THE 12TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2018), 2018,