TOYAMA ASAKO 遠山朝子

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Toyama Asako 遠山朝子

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Researcher Number	10816549
Other IDs
Affiliation (Current)	2023: 一橋大学, 大学院ソーシャル・データサイエンス研究科, 特任助教
Affiliation (based on the past Project Information) *help	2020 – 2023: 専修大学, 文学研究科, 特別研究員 2018 – 2020: 名古屋大学, 情報学研究科, 研究員
Review Section/Research Field	Principal Investigator Basic Section 10040:Experimental psychology-related Except Principal Investigator Medium-sized Section 10:Psychology and related fields
Keywords	Principal Investigator 固執 / モデルベース学習 / モデルフリー学習 / 意思決定 / パラメータ推定のバイアス / シミュレーション / 精神疾患 / 固執性 / 忘却過程 / 強化学習モデル / 計算論モデル … More Except Principal Investigator … More 予測 / 意思決定 / 生理 / 感情 / 内受容感覚 / 心身医学 / 計算論 / 過敏性腸症候群 / 計算論的心身医学 Less

Generation mechanisms of affect and decision-making based on predictive processing of interoception
- Principal Investigator
  
  大平英樹
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 10:Psychology and related fields
- Research Institution
  Nagoya University
Computational somatic medicine based on predictive coding: A basic study on Irritable Bowel Syndrome
- Principal Investigator
  
  大平英樹
- Project Period (FY)
  2019 – 2023
- Research Category
  
  Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
- Review Section
  
  Medium-sized Section 10:Psychology and related fields
- Research Institution
  Nagoya University
A computational approach that evaluates the value calculation process and the choice process in decision makingPrincipal Investigator
- Principal Investigator
  
  Toyama Asako
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 10040:Experimental psychology-related
- Research Institution
  Senshu University
  Nagoya University

All 2021 2020 2019

All Journal Article Presentation

[Journal Article] Revisiting the importance of model fitting for model-based fMRI: It does matter in computational psychiatry2021
- Author(s)
  Katahira Kentaro, Toyama Asako
- Journal Title
  
  PLOS Computational Biology
  
  Volume: 17 Issue: 2 Pages: e1008738-e1008738
- DOI
  10.1371/journal.pcbi.1008738
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18KT0021, KAKENHI-PROJECT-18K03173, KAKENHI-PROJECT-18K13366, KAKENHI-PUBLICLY-19H04902
[Journal Article] Biases in estimating the balance between model-free and model-based learning systems due to model misspecification2019
- Author(s)
  Toyama Asako, Katahira Kentaro, Ohira Hideki
- Journal Title
  
  Journal of Mathematical Psychology
  
  Volume: 91 Pages: 88-102
- DOI
  10.1016/j.jmp.2019.03.007
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18KT0021, KAKENHI-PROJECT-18K03173, KAKENHI-PROJECT-18K13366, KAKENHI-PUBLICLY-17H05946, KAKENHI-PROJECT-19KK0062, KAKENHI-PROJECT-17H02649
[Journal Article] Reinforcement learning with parsimonious computation and a forgetting process2019
- Author(s)
  Toyama Asako, Katahira Kentaro, Ohira Hideki
- Journal Title
  
  Frontiers in Human Neuroscience
  
  Volume: 13 Pages: 153-153
- DOI
  10.3389/fnhum.2019.00153
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18KT0021, KAKENHI-PROJECT-18K03173, KAKENHI-PUBLICLY-17H05946, KAKENHI-PROJECT-18K13366, KAKENHI-PROJECT-19KK0062, KAKENHI-PROJECT-17H02649
[Presentation] ATTENTION BIAS TO AFFECTIVE OUTCOMES2020
- Author(s)
  Asako Toyama, Kentaro Katahira Hideki Ohira
- Organizer
  The 2020 SAS Annual Conference
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13366
[Presentation] 忘却過程を含む強化学習モデルを用いたモデルフリー・モデルベースシステム比重の推定2019
- Author(s)
  遠山朝子
- Organizer
  第22回計算論的精神医学コロキウム
- Data Source
  KAKENHI-PROJECT-18K13366
[Presentation] 忘却過程のある強化学習モデルの提案2019
- Author(s)
  遠山朝子
- Organizer
  第18回東海若手実験心理学研究会
- Data Source
  KAKENHI-PROJECT-18K13366
[Presentation] モデルベース意思決定を特徴づける計算論モデルの提案　モデルパラメータを用いた個人差の検討2019
- Author(s)
  遠山朝子
- Organizer
  日本心理学会第81回大会
- Data Source
  KAKENHI-PROJECT-18K13366
[Presentation] Forgetting Process in Model-Free and Model-Based Reinforcement Learning.2019
- Author(s)
  Toyama, A., Katahira, K., & Ohira, H.
- Organizer
  The 4th Multi-disciplinary Conference on Reinforcement Learning and Decision Making
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13366

1. 大平英樹 (90221837)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
2. 片平健太郎 (60569218)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
3. 木村健太 (40589272)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
4. 齋藤菜月 (60844834)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
5. 上野大介 (00760589)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 田邊宏樹 (20414021)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 長井隆行 (40303010)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

TOYAMA ASAKO 遠山 朝子

Toyama Asako 遠山 朝子

Research Projects

Research Products

Co-Researchers

Generation mechanisms of affect and decision-making based on predictive processing of interoception

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Computational somatic medicine based on predictive coding: A basic study on Irritable Bowel Syndrome

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A computational approach that evaluates the value calculation process and the choice process in decision makingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Revisiting the importance of model fitting for model-based fMRI: It does matter in computational psychiatry2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Biases in estimating the balance between model-free and model-based learning systems due to model misspecification2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Reinforcement learning with parsimonious computation and a forgetting process2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] ATTENTION BIAS TO AFFECTIVE OUTCOMES2020

Author(s)

Organizer

Data Source

[Presentation] 忘却過程を含む強化学習モデルを用いたモデルフリー・モデルベースシステム比重の推定2019

Author(s)

Organizer

Data Source

[Presentation] 忘却過程のある強化学習モデルの提案2019

Author(s)

Organizer

Data Source

[Presentation] モデルベース意思決定を特徴づける計算論モデルの 提案 モデルパラメータを用いた個人差の検討2019

Author(s)

Organizer

Data Source

[Presentation] Forgetting Process in Model-Free and Model-Based Reinforcement Learning.2019

Author(s)

Organizer

Data Source

TOYAMA ASAKO 遠山朝子

Toyama Asako 遠山朝子

[Presentation] モデルベース意思決定を特徴づける計算論モデルの提案　モデルパラメータを用いた個人差の検討2019