Kentaro Katahira

University of Tsukuba — Japan

Neuroscience · Life Sciences

25h-index2.0kcitations199works1.72yr avg
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Research Topics

Neural and Behavioral Psychology Studies(33), Mental Health Research Topics(26), Behavioral Health and Interventions(24), Neural Networks and Applications(22), Decision-Making and Behavioral Economics(21)

Publications199 total

How social learning enhances—or undermines—efficiency and flexibility in collective decision-making under uncertainty
Proceedings of the National Academy of Sciences·2025Open Access
Recurrent neural network dynamics may not purely reflect cognitive strategies: A commentary on Ji-An et al. (Nature, 2025)
2025Open Access
Mobile-Based Ecological Momentary Intervention for Improving Physical Activity in Adults Without Regular Physical Activity: Pilot Randomized Controlled Trial
JMIR Formative Research·2025Open Access
Activation of orexin neurons changes reward-based decision-making strategies
PNAS Nexus·2025Open Access
Psychological, behavioural, and computational characteristics of irritable bowel syndrome: What discriminates patients from healthy controls?
Journal of Psychosomatic Research·2025
Excessive Flexibility? Recurrent Neural Networks Can Accommodate Individual Differences in Reinforcement Learning Through In-Context Adaptation
Computational Brain & Behavior·2025· 2 citedOpen Access
Factor structure of self-reported health literacy scales: a large-scale cross-sectional study among Japanese-speaking adults
Health Promotion International·2025· 2 cited
Mobile-Based Ecological Momentary Intervention for Improving Physical Activity in Adults Without Regular Physical Activity: A Pilot Randomized Controlled Trial (Preprint)
2025
Relationship Between Model-Based Decision-Making and the Comprehension Performance of Source Code With Confusing Patterns
IEEE Transactions on Software Engineering·2025Open Access
Excessive flexibility? Recurrent neural networks can accommodate individual differences in reinforcement learning through in-context adaptation
2025Open Access
Excessive flexibility? Recurrent neural networks can accommodate individual differences in reinforcement learning through in-context adaptation
2025Open Access
The preference for surprise in reinforcement learning underlies the differences in developmental changes in risk preference between autistic and neurotypical youth
Molecular Autism·2025· 1 citedOpen Access
Examining the Factor Structure of Objective Health Literacy and Numeracy Scales
2025Open Access
Applying Reinforcement Learning to the Psychopathology of Obsessive–Compulsive and Gambling Disorders: Practices and Pitfalls in Computational Model Fitting
Studies in neuroscience, psychology and behavioral economics·2025
When to stop social learning from a predecessor in an information-foraging task
Evolutionary Human Sciences·2025Open Access
Evaluating the performance of personality-based profiling in predicting physical activity
BMC Psychology·2024· 1 citedOpen Access
Excessive flexibility? Recurrent neural networks can accommodate individual differences in reinforcement learning through in-context adaptation
2024Open Access
Excessive flexibility? Recurrent neural networks can accommodate individual differences in reinforcement learning by capturing higher-order history dependencies
2024· 1 citedOpen Access
Functions of Smartphone Apps and Wearable Devices Promoting Physical Activity: Six-Month Longitudinal Study on Japanese-Speaking Adults
JMIR mhealth and uhealth·2024· 4 citedOpen Access
The preference for surprise in reinforcement learning underlies the differences in developmental changes in risk preference between autistic and neurotypical youth
2024Open Access
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Frequent Co-authors

Kazuo Okanoya(20), Masato Okada(10), Hideki Ohira(8), Tomomi Fujimura(7), Asako Toyama(5), Yuichi Yamashita(5), Yoshitaka Matsuda(4), Dilshat Abla(3), Masato Okada(3), Takeyuki Oba(3), Kenta Kimura(3), Yoshihiko Kunisato(3), Ai Kawakami(2), Kiyoshi Furukawa(2), Kenta Suzuki(2), Keiko Kamiyama(2), Hiroshi Saitō(2), Kenichi Ueno(2), Kang Cheng(2), Takashi Nakao(2)