The Choice-Wide Behavioral Association Study: Data-Driven Identification of Interpretable Behavioral Components

被引:0
|
作者
Kastner, David [1 ]
Williams, Greer [1 ]
Holobetz, Cristopher [1 ]
Romano, Joseph [1 ]
Dayan, Peter [1 ]
机构
[1] Univ Calif San Francisco, San Francisco, CA 94143 USA
关键词
Behavior; autism Spectrum Disorders; model-free and model-based learning; statistical methods; Compulsive behavior;
D O I
暂无
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
P78
引用
收藏
页码:108 / 108
页数:1
相关论文
共 50 条
  • [31] Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach
    Banerjee, Sarasij
    Kha, Rachael T.
    Rivera, Daniel E.
    Hekler, Eric
    JOURNAL OF PROCESS CONTROL, 2024, 139
  • [32] A Genome-Wide Association Study (GWAS) of behavioral disinhibition
    McGue, Matt
    Miller, Michael
    Basu, Saonli
    Eskin, Eleazar
    Hicks, Brian
    Irons, Daniel
    Keyes, Margaret
    Legrand, Lisa
    Li, Xiang
    Malone, Steve
    Oetting, William
    Samek, Diana
    Schork, Nicholas
    Sul, Jae Hoon
    Vrieze, Scott
    Iacono, William
    BEHAVIOR GENETICS, 2011, 41 (06) : 923 - 924
  • [33] Data-driven identification of interpretable reduced-order models using sparse regression
    Narasingam, Abhinav
    Sang-Il Kwon, Joseph
    COMPUTERS & CHEMICAL ENGINEERING, 2018, 119 : 101 - 111
  • [34] DATA-DRIVEN CLUSTERING OF PSYCHIATRIC AND BEHAVIORAL SYMPTOMS USING A WEBBASED SYMPTOM CHECKER
    Kadkhodaie, Zahra
    Nikolaidis, Aki
    Alexander, Lindsay
    Clement, Barbara
    Grover, Bruce
    Leventhal, Bennett L.
    Milham, Michael P.
    JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2016, 55 (10): : S191 - S192
  • [35] Concurrency-enhancing transformations for asynchronous behavioral specifications: A data-driven approach
    Hansen, John
    Singh, Montek
    ASYNC 2008: 14TH IEEE INTERNATIONAL SYMPOSIUM ON ASYNCHRONOUS CIRCUITS AND SYSTEMS, 2008, : 15 - +
  • [36] A Formal Methodology for Behavioral Modelling and Synthesis of Data-driven Rich Internet Applications
    Powell, Courtney
    Akama, Kiyoshi
    Nakamura, Keisuke
    Koike, Hidekatsu
    PROCEEDING OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES, 2009, : 121 - 130
  • [37] Behavioral data-driven analysis with Bayesian method for risk management of financial services
    Lin, Edward M. H.
    Sun, Edward W.
    Yu, Min-Teh
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2020, 228
  • [38] Knowledge-based and data-driven behavioral modeling techniques in engagement simulation
    Zhu, Zhi
    Wang, Tao
    Sarjoughian, Hessam
    Wang, Weiping
    Zhao, Yuehua
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2023, 99 (10): : 1069 - 1089
  • [39] Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
    Rikke Linnemann Nielsen
    Thomas Monfeuga
    Robert R. Kitchen
    Line Egerod
    Luis G. Leal
    August Thomas Hjortshøj Schreyer
    Frederik Steensgaard Gade
    Carol Sun
    Marianne Helenius
    Lotte Simonsen
    Marianne Willert
    Abd A. Tahrani
    Zahra McVey
    Ramneek Gupta
    Nature Communications, 15
  • [40] Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
    Nielsen, Rikke Linnemann
    Monfeuga, Thomas
    Kitchen, Robert R.
    Egerod, Line
    Leal, Luis G.
    Schreyer, August Thomas Hjortshoj
    Gade, Frederik Steensgaard
    Sun, Carol
    Helenius, Marianne
    Simonsen, Lotte
    Willert, Marianne
    Tahrani, Abd A.
    McVey, Zahra
    Gupta, Ramneek
    NATURE COMMUNICATIONS, 2024, 15 (01)