USING DEEP NEURAL NETWORKS TO PREDICT COGNITIVE PERFORMANCE

被引:0
|
作者
Koorathota, Sharath C. [1 ]
Liu, Grace P. [2 ]
Lachman, Margie [3 ]
Sloan, Richard P. [2 ]
机构
[1] Columbia Univ, Med Ctr, Psychiat, Comp Sci, New York, NY USA
[2] Columbia Univ, Med Ctr, Psychiat, New York, NY USA
[3] Brandeis Univ, Psychol, Waltham, MA USA
来源
PSYCHOSOMATIC MEDICINE | 2020年 / 82卷 / 06期
关键词
D O I
暂无
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
1354
引用
收藏
页码:A116 / A116
页数:1
相关论文
共 50 条
  • [21] The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles
    Malek, Arkadiusz
    Marciniak, Andrzej
    OPEN ENGINEERING, 2021, 11 (01): : 377 - 389
  • [22] Outlook on deep neural networks in computational cognitive neuroscience
    Turner, Brandon M.
    Miletic, Steven
    Forstmann, Birte U.
    NEUROIMAGE, 2018, 180 : 117 - 118
  • [23] Resource Allocation Based on Deep Neural Networks for Cognitive Radio Networks
    Zhou, Fuhui
    Zhang, Xiongjian
    Hu, Rose Qingyang
    Papathanassiou, Apostolos
    Meng, Weixiao
    2018 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2018, : 40 - 45
  • [24] Detecting the Intensity of Cognitive and Physical Load Using AdaBoost and Deep Rectifier Neural Networks
    Gosztolya, Gabor
    Grosz, Tamas
    Busa-Fekete, Robert
    Toth, Laszlo
    15TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2014), VOLS 1-4, 2014, : 452 - 456
  • [25] Using neural networks to predict aircraft trajectories
    Le Fablec, Y
    Alliot, JM
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL I AND II, 1999, : 524 - 528
  • [26] Using Neural Networks to Predict Cardiac Arrhythmias
    Adams, E. Roland
    Choi, Anthony
    PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2012, : 402 - 407
  • [27] Using neural networks to predict slope movements
    Mayoraz, F
    Cornu, T
    Vulliet, L
    LANDSLIDES-BK, 1996, : 295 - 300
  • [28] Using neural networks to predict patient satisfaction
    Marshall, J
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1998, : 1040 - 1040
  • [29] A Hybrid Deep Learning Framework to Predict Alzheimer’s Disease Progression Using Generative Adversarial Networks and Deep Convolutional Neural Networks
    Rajarshi SinhaRoy
    Anupam Sen
    Arabian Journal for Science and Engineering, 2024, 49 : 3267 - 3284
  • [30] A Hybrid Deep Learning Framework to Predict Alzheimer's Disease Progression Using Generative Adversarial Networks and Deep Convolutional Neural Networks
    SinhaRoy, Rajarshi
    Sen, Anupam
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2024, 49 (03) : 3267 - 3284