Rchr
J-GLOBAL ID:201301085533584230   Update date: Sep. 21, 2024

Katahira Kentaro

Katahira Kentaro
Affiliation and department:
Job title: Senior researcher
Research keywords  (3): Computational Psychiatry ,  Reinforcement learning ,  Computational modeling of behaviour
Research theme for competitive and other funds  (16):
  • 2024 - 2029 高精度で簡便なBrain-Machine Interface適性データベース
  • 2023 - 2028 Optimizing a mobile healthcare system for promoting physical activity
  • 2023 - 2028 集合的意思決定のメカニズム:計算モデルによる集合知発生条件の解明
  • 2022 - 2025 正答のない意思決定を導く制約条件間の関連:認知と神経の数理モデルを併用した検討
  • 2021 - 2025 Generation mechanisms of affect and decision-making based on predictive processing of interoception
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Papers (72):
  • Hidezo Suganuma, Aoi Naito, Kentaro Katahira, Tatsuya Kameda. It’s time to stand on my own feet: When to stop social learning from a predecessor in a laboratory information-foraging task. 2024
  • Kentaro Katahira, Takeyuki Oba, Asako Toyama. Does the reliability of computational models truly improve with hierarchical modeling? Some recommendations and considerations for the assessment of model parameter reliability. Psychonomic Bulletin & Review. 2024
  • Takeyuki Oba, Keisuke Takano, Kentaro Katahira, Kenta Kimura. Revisiting the Transtheoretical Model for Physical Activity: A Large-Scale Cross-Sectional Study on Japanese-Speaking Adults. Annals of behavioral medicine : a publication of the Society of Behavioral Medicine. 2024. 58. 3. 167-178
  • Takeyuki Oba, Keisuke Takano, Kentaro Katahira, Kenta Kimura. Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey. JMIR mHealth and uHealth. 2023. 11. e49148
  • Asako Toyama, Kentaro Katahira, Yoshihiko Kunisato. Examinations of Biases by Model Misspecification and Parameter Reliability of Reinforcement Learning Models. Computational Brain & Behavior. 2023
more...
MISC (2):
  • 山下 祐一, 片平 健太郎. 研究領域基準(RDoC)は有効か? 計算モデルによる精神医学研究ストラテジー評価方法の提案. 精神神経学雑誌. 2017. 2017特別号. S604-S604
  • KATAHIRA Kentaro, NISHIKAWA Jun, OKANOYA Kazuo, OKADA Masato. Variational Bayesian Hidden Markov Models for extracting spatiotemporal spike pattern. IEICE technical report. 2007. 107. 263. 7-12
Books (2):
  • 計算論的精神医学-情報処理過程から読み解く精神障害-
    勁草書房 2019 ISBN:9784326251315
  • Computational modeling of behavioral data
    2018 ISBN:9784274222610
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