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Asako Toyama
Asako Toyama
Univ
Verified email at senshu-u.jp - Homepage
Title
Cited by
Cited by
Year
Brain–immune interaction accompanying odor-evoked autobiographic memory
M Matsunaga, Y Bai, K Yamakawa, A Toyama, M Kashiwagi, K Fukuda, ...
PLoS One 8 (8), e72523, 2013
492013
A simple computational algorithm of model-based choice preference
A Toyama, K Katahira, H Ohira
Cognitive, Affective, & Behavioral Neuroscience 17, 764-783, 2017
282017
Maternal separation as a risk factor for aggravation of neuropathic pain in later life in mice
H Mizoguchi, K Fukumoto, G Sakamoto, S Jin, A Toyama, T Wang, ...
Behavioural brain research 359, 942-949, 2019
222019
Biases in estimating the balance between model-free and model-based learning systems due to model misspecification
A Toyama, K Katahira, H Ohira
Journal of Mathematical Psychology 91, 88-102, 2019
212019
Reinforcement learning with parsimonious computation and a forgetting process
A Toyama, K Katahira, H Ohira
Frontiers in human neuroscience 13, 153, 2019
202019
Revisiting the importance of model fitting for model-based fMRI: It does matter in computational psychiatry
K Katahira, A Toyama
PLoS computational biology 17 (2), e1008738, 2021
132021
Effects of emotional context during encoding: an advantage for negative context in immediate recognition and positive context in delayed recognition
A Toyama, M Katsuhara, Y Sakurai, H Ohira
Psychology 2014, 2014
62014
Cardiac cycle affects the asymmetric value updating in instrumental reward learning
K Kimura, N Kanayama, A Toyama, K Katahira
Frontiers in Neuroscience 16, 889440, 2022
32022
Examinations of Biases by Model Misspecification and Parameter Reliability of Reinforcement Learning Models
A Toyama, K Katahira, Y Kunisato
Computational Brain & Behavior 6 (4), 651-670, 2023
22023
Can reliability of computational models be truly improved by placing priors on parameters?
K Katahira, T Oba, A Toyama
PsyArXiv, 2022
12022
Does the reliability of computational models truly improve with hierarchical modeling? Some recommendations and considerations for the assessment of model parameter reliability …
K Katahira, T Oba, A Toyama
Psychonomic Bulletin & Review, 1-22, 2024
2024
Evaluating the General Psychopathological Factor (p-Factor) using the DSM-5 Level 1 Cross-Cutting Symptom Measure in the General Population
T Soda, A Toyama, M Takeda, Y Kunisato, Y Yamashita
Department of Psychology, Senshu University, 2024
2024
Does insomnia affect the degree of model-based control in reinforcement learning?
Y Kunisato, A Toyama
OSF, 2021
2021
A parsimonious learning model can explain choice behavior reflecting task structure
A Toyama, K Katahira, H Ohire
INTERNATIONAL JOURNAL OF PSYCHOLOGY 51, 832-833, 2016
2016
INFLUENCES OF SOCIOECONOMIC STATUS ON FUNCTIONAL BRAIN-BODY ASSOCIATION IN DECISION-MAKING
H Ohira, M Matsunaga, K Yamakawa, A Toyama
PSYCHOSOMATIC MEDICINE 76 (3), A32-A32, 2014
2014
FLEXIBLE ADJUSTMENT OF ANTICIPATORY AFFECT BY RELATIVE VALUE
A Toyama, H Ohira
PSYCHOPHYSIOLOGY 50, S29-S29, 2013
2013
ABSOLUTE VALUE AND RELATIVE VALUE IN INCENTIVE ANTICIPATION
A Toyama, H Ohira
PSYCHOPHYSIOLOGY 49, S90-S90, 2012
2012
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