Deep Learning and Computational Neuroscience

被引:0
|
作者
Erik De Schutter
机构
[1] Okinawa Institute of Science and Technology Graduate University,Computational Neuroscience Unit
来源
Neuroinformatics | 2018年 / 16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:1 / 2
页数:1
相关论文
共 50 条
  • [1] Deep Learning and Computational Neuroscience
    De Schutter, Erik
    NEUROINFORMATICS, 2018, 16 (01) : 1 - 2
  • [2] Editorial: Machine and deep-learning for computational neuroscience
    Dhiman, Gaurav
    Viriyasitavat, Wattana
    Nagar, Atulya K. K.
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2023, 17
  • [3] A deep learning framework for neuroscience
    Richards, Blake A.
    Lillicrap, Timothy P.
    Beaudoin, Philippe
    Bengio, Yoshua
    Bogacz, Rafal
    Christensen, Amelia
    Clopath, Claudia
    Costa, Rui Ponte
    de Berker, Archy
    Ganguli, Surya
    Gillon, Colleen J.
    Hafner, Danijar
    Kepecs, Adam
    Kriegeskorte, Nikolaus
    Latham, Peter
    Lindsay, Grace W.
    Miller, Kenneth D.
    Naud, Richard
    Pack, Christopher C.
    Poirazi, Panayiota
    Roelfsema, Pieter
    Sacramento, Joao
    Saxe, Andrew
    Scellier, Benjamin
    Schapiro, Anna C.
    Senn, Walter
    Wayne, Greg
    Yamins, Daniel
    Zenke, Friedemann
    Zylberberg, Joel
    Therien, Denis
    Kording, Konrad P.
    NATURE NEUROSCIENCE, 2019, 22 (11) : 1761 - 1770
  • [4] A deep learning framework for neuroscience
    Blake A. Richards
    Timothy P. Lillicrap
    Philippe Beaudoin
    Yoshua Bengio
    Rafal Bogacz
    Amelia Christensen
    Claudia Clopath
    Rui Ponte Costa
    Archy de Berker
    Surya Ganguli
    Colleen J. Gillon
    Danijar Hafner
    Adam Kepecs
    Nikolaus Kriegeskorte
    Peter Latham
    Grace W. Lindsay
    Kenneth D. Miller
    Richard Naud
    Christopher C. Pack
    Panayiota Poirazi
    Pieter Roelfsema
    João Sacramento
    Andrew Saxe
    Benjamin Scellier
    Anna C. Schapiro
    Walter Senn
    Greg Wayne
    Daniel Yamins
    Friedemann Zenke
    Joel Zylberberg
    Denis Therien
    Konrad P. Kording
    Nature Neuroscience, 2019, 22 : 1761 - 1770
  • [5] A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
    Matthew Shardlow
    Meizhi Ju
    Maolin Li
    Christian O’Reilly
    Elisabetta Iavarone
    John McNaught
    Sophia Ananiadou
    Neuroinformatics, 2019, 17 : 391 - 406
  • [6] A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
    Shardlow, Matthew
    Ju, Meizhi
    Li, Maolin
    O'Reilly, Christian
    Iavarone, Elisabetta
    McNaught, John
    Ananiadou, Sophia
    NEUROINFORMATICS, 2019, 17 (03) : 391 - 406
  • [7] Editorial: Deep Learning in Aging Neuroscience
    Ramirez, Javier
    Gorriz, Juan M.
    Ortiz, Andres
    Cole, James H.
    Dyrba, Martin
    FRONTIERS IN NEUROINFORMATICS, 2020, 14
  • [8] Toward an Integration of Deep Learning and Neuroscience
    Marblestone, Adam H.
    Wayne, Greg
    Kording, Konrad P.
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2016, 10
  • [9] Outlook on deep neural networks in computational cognitive neuroscience
    Turner, Brandon M.
    Miletic, Steven
    Forstmann, Birte U.
    NEUROIMAGE, 2018, 180 : 117 - 118
  • [10] Reinforcement Learning and Dimensionality Reduction: a model in Computational Neuroscience
    Shah, Nishal
    Alexandre, Frederic
    2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2011, : 836 - 842