フォロー
Ayaka Kato
タイトル
引用先
引用先
Forgetting in reinforcement learning links sustained dopamine signals to motivation
A Kato, K Morita
PLoS computational biology 12 (10), e1005145, 2016
622016
Striatal dopamine ramping may indicate flexible reinforcement learning with forgetting in the cortico-basal ganglia circuits
K Morita, A Kato
Frontiers in neural circuits 8, 36, 2014
582014
Digital therapeutics for essential hypertension using a smartphone application: A randomized, open‐label, multicenter pilot study
K Kario, A Nomura, A Kato, N Harada, T Tanigawa, R So, S Suzuki, ...
The Journal of Clinical Hypertension 23 (5), 923-934, 2021
352021
Efficacy of the ascure smoking cessation program: Retrospective study
A Kato, T Tanigawa, K Satake, A Nomura
JMIR mHealth and uHealth 8 (5), e17270, 2020
182020
Computational Psychiatry Research Map (CPSYMAP): a new database for visualizing research papers
A Kato, Y Kunisato, K Katahira, T Okimura, Y Yamashita
Frontiers in Psychiatry 11, 578706, 2020
172020
Computational models of behavioral addictions: State of the art and future directions
A Kato, K Shimomura, D Ognibene, MA Parvaz, LA Berner, K Morita, ...
Addictive behaviors 140, 107595, 2023
152023
Rigid reduced successor representation as a potential mechanism for addiction
K Shimomura, A Kato, K Morita
European Journal of Neuroscience 53 (11), 3768-3790, 2021
102021
A neural circuit mechanism for the involvements of dopamine in effort-related choices: decay of learned values, secondary effects of depletion, and calculation of temporal …
K Morita, A Kato
eneuro 5 (1), 2018
102018
Dopaminergic neurons dynamically update sensory values during olfactory maneuver
A Kato, K Ohta, K Okanoya, H Kazama
Cell reports 42 (10), 2023
82023
Dopaminergic neurons dynamically update sensory values during navigation
A Kato, K Ohta, K Okanoya, H Kazama
Biorxiv, 2022.08. 17.504092, 2022
42022
Dopamine ramps for accurate value learning under uncertainty
K Morita, A Kato
Trends in Neurosciences 45 (4), 254-256, 2022
22022
" Rigid reduced successor representation as a potential mechanism for addiction": Erratum.
K Shimomura, A Kato, K Morita
Wiley-Blackwell Publishing Ltd., 2022
12022
Dynamical systems approach: An elementary introduction and application to research on dopamine and reinforcement learning
A Kato, K Morita
Brain and Nerve= Shinkei Kenkyu no Shinpo 72 (11), 1275-1282, 2020
12020
Revisiting the role of computational neuroimaging in the era of integrative neuroscience
AM Loosen, A Kato, X Gu
Neuropsychopharmacology, 1-11, 2024
2024
Learning of state representation in recurrent network: the power of random feedback and biological constraints
T Tsurumi, A Kato, A Kumar, K Morita
bioRxiv, 2024.08. 22.609100, 2024
2024
Successor representation and its goal-based reduced variant: Computational approximations of inflexible behavior in harmful drinking?
MPM Musial, S Hall-McMaster, C Ebrahimi, A Kato, K Shimomura, ...
OSF, 2024
2024
Human Substantia Nigra Neurons Encode Reward Expectations
Z Imtiaz, A Kato, BH Kopell, SE Qasim, AN Davis, LN Martinez, M Heflin, ...
bioRxiv, 2024
2024
強化学習を用いた依存症の計算論的精神医学研究
加藤郁佳, 下村寛治, 森田賢治
日本神経回路学会誌 29 (2), 52-64, 2022
2022
Rigid reduced successor representation as a potential mechanism for addiction (vol 53, pg 3768, 2021)
K Shimomura, A Kato, K Morita
EUROPEAN JOURNAL OF NEUROSCIENCE 55 (1), 337-337, 2022
2022
オンライン診療・医療 AI を介したニコチン依存症治療 (特集 オンライン診療・医療 AI 最前線)--(オンライン診療・医療 AI と疾患管理)
佐竹晃太, 加藤郁佳
診断と治療= Diagnosis and treatment 109 (9), 1273-1276, 2021
2021
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