Updated on 2023/10/02

写真a

 
MOCHIZUKI, Yasuhiro
 
Affiliation
Affiliated organization, Center for Data Science
Job title
Assistant Professor(tenure-track)

Research Experience

  • 2022.04
    -
    Now

    Waseda University   Center for Data Science

  • 2016.04
    -
    2022.03

    RIKEN

Education Background

  • 2012.04
    -
    2016.03

    Kyoto University   Graduate School of Science  

  • 2006.09
    -
    2010.06

    University of Cambridge   Natural Sciences Tripos (学部・修士一貫課程)  

Professional Memberships

  • 2021.04
    -
    Now

    日本心理学会

  • 2016.07
    -
    Now

    Society for Neuroscience

  • 2016.04
    -
    Now

    日本神経科学会

  • 2013.11
    -
    Now

    日本神経回路学会

  • 2013.01
    -
    2016.03

    日本物理学会

Research Areas

  • Neuroscience-general / Cognitive science

Research Interests

  • 行動経済学

  • 認知科学

  • 機械学習

  • 強化学習

  • 計算論的精神医学

  • 神経科学

  • データ科学

  • 意思決定

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Media Coverage

 

Papers

  • Toward a computational understanding of how reminiscing about positive autobiographical memories influences decision-making under risk

    Mino Watarai, Kosuke Hagiwara, Yasuhiro Mochizuki, Chong Chen, Tomohiro Mizumoto, Chihiro Kawashima, Takaya Koga, Emi Okabe, Shin Nakagawa

    Cognitive, Affective, & Behavioral Neuroscience    2023.06

    DOI

    Scopus

    1
    Citation
    (Scopus)
  • Computational markers of experience- but not description-based decision-making are associated with future depressive symptoms in young adults

    Chong Chen, Yasuhiro Mochizuki, Kosuke Hagiwara, Masako Hirotsu, Toshio Matsubara, Shin Nakagawa

    Journal of Psychiatric Research   154   307 - 314  2022.10  [Refereed]

    DOI

    Scopus

    2
    Citation
    (Scopus)
  • The effect of positive autobiographical memory retrieval on decision-making under risk: A computational model-based analysis

    Natsumi Shimizu, Yasuhiro Mochizuki, Chong Chen, Kosuke Hagiwara, Karin Matsumoto, Yusuke Oda, Masako Hirotsu, Emi Okabe, Toshio Matsubara, Shin Nakagawa

    Frontiers in Psychiatry   13   930466 - 930466  2022.09  [Refereed]  [International journal]

     View Summary

    Psychiatric disorders such as depressive and anxiety disorders are associated with altered decision-making under risk. Recent advances in neuroeconomics and computational psychiatry have further discomposed risk-based decision-making into distinct cognitive computational constructs and showed that there may be disorder-specific alterations in these constructs. As a result, it has been suggested these cognitive computational constructs may serve as useful behavioral biomarkers for these disorders. However, to date, little is known about what psychological or behavioral interventions can help to reverse and manage the altered cognitive computational constructs underlying risk-based decision-making. In the present study, we set out to investigate whether recalling positive autobiographical memories may affect risk-based decision-making in healthy volunteers using a description-based task. Specifically, based on theories of behavioral economics, we dissected risk preference into two cognitive computational constructs, utility sensitivity and probability weighting. We found that compared to recalling neutral memories, retrieving positive autobiographical memories increased utility sensitivity (Cohen's d = 0.447), indicating reduced risk aversion. Meanwhile, we also tested the influence of memory retrieval on probability weighting, the effect, however, was unreliable and requires further in-depth investigation. Of clinical relevance, the change in risk aversion after recalling positive memories was in the opposite direction compared to those reported in psychiatric disorders. These results argue for the potential therapeutic effect of positive autobiographical memory retrieval for the amendment of altered risk-based decision-making in psychiatric disorders.

    DOI PubMed

    Scopus

    1
    Citation
    (Scopus)
  • Recalling Positive Autobiographical Memories Affects Decision-Making Under Risk: Potential Therapeutic Effects for Anxiety and Obsessive-Compulsive Disorders

    Chong Chen, Natsumi Shimizu, Yasuhiro Mochizuki, Kosuke Hagiwara, Karin Matsumoto, Yusuke Oda, Masako Hirotsu, Emi Okabe, Toshio Matsubara, Shin Nakagawa

    Biological Psychiatry   91 ( 9 ) S133 - S133  2022.05  [Refereed]

    DOI

  • Nonlinear Probability Weighting in Depression and Anxiety: Insights From Healthy Young Adults

    Kosuke Hagiwara, Yasuhiro Mochizuki, Chong Chen, Huijie Lei, Masako Hirotsu, Toshio Matsubara, Shin Nakagawa

    Frontiers in Psychiatry   13   810867 - 810867  2022.03  [Refereed]  [International journal]

     View Summary

    Both depressive and anxiety disorders have been associated with excessive risk avoidant behaviors, which are considered an important contributor to the maintenance and recurrence of these disorders. However, given the high comorbidity between the two disorders, their independent association with risk preference remains unclear. Furthermore, due to the involvement of multiple cognitive computational factors in the decision-making tasks employed so far, the precise underlying mechanisms of risk preference are unknown. In the present study, we set out to investigate the common versus unique cognitive computational mechanisms of risk preference in depression and anxiety using a reward-based decision-making task and computational modeling based on economic theories. Specifically, in model-based analysis, we decomposed risk preference into utility sensitivity (a power function) and probability weighting (the one-parameter Prelec weighting function). Multiple linear regression incorporating depression (BDI-II) and anxiety (STAI state anxiety) simultaneously indicated that only depression was associated with one such risk preference parameter, probability weighting. As the symptoms of depression increased, subjects’ tendency to overweight small probabilities and underweight large probabilities decreased. Neither depression nor anxiety was associated with utility sensitivity. These associations remained even after controlling covariates or excluding anxiety-relevant items from the depression scale. To our knowledge, this is the first study to assess risk preference due to a concave utility function and nonlinear probability weighting separately for depression and anxiety using computational modeling. Our results provide a mechanistic account of risk avoidance and may improve our understanding of decision-making deficits in depression and anxiety.

    DOI PubMed

    Scopus

    6
    Citation
    (Scopus)
  • Sex difference in the weighting of expected uncertainty under chronic stress

    Huijie Lei, Yasuhiro Mochizuki, Chong Chen, Kosuke Hagiwara, Masako Hirotsu, Toshio Matsubara, Shin Nakagawa

    Scientific Reports   11 ( 1 ) 8700 - 8700  2021.12  [Refereed]  [International journal]

     View Summary

    <jats:title>Abstract</jats:title><jats:p>The neurobiological literature implicates chronic stress induced decision-making deficits as a major contributor to depression and anxiety. Given that females are twice as likely to suffer from these disorders, we hypothesized the existence of sex difference in the effects of chronic stress on decision-making. Here employing a decision-making paradigm that relies on reinforcement learning of probabilistic predictive relationships, we show female volunteers with a high level of perceived stress in the past month are more likely to make suboptimal choices than males. Computational characterizations of this sex difference suggest that while under high stress, females and males differ in their weighting but not learning of the expected uncertainty in the predictive relationships. These findings provide a mechanistic account of the sex difference in decision-making under chronic stress and may have important implications for the epidemiology of sex difference in depression and anxiety.</jats:p>

    DOI PubMed

    Scopus

    6
    Citation
    (Scopus)
  • Regular Vigorous-Intensity Physical Activity and Walking Are Associated with Divergent but not Convergent Thinking in Japanese Young Adults

    Chong Chen, Yasuhiro Mochizuki, Kosuke Hagiwara, Masako Hirotsu, Shin Nakagawa

    Brain Sciences   11 ( 8 ) 1046 - 1046  2021.08  [Refereed]

     View Summary

    <jats:p>The beneficial effects of regular physical activity (PA) on cognitive functions have received much attention. Recent research suggests that regular PA may also enhance creative thinking, an indispensable cognitive factor for invention and innovation. However, at what intensity regular PA brings the most benefits to creative thinking remains uninvestigated. Furthermore, whether the levels of regular PA affect the acute PA effects on creative thinking is also unclear. In the present study, using a previous dataset that investigated the effects of an acute bout of aerobic exercise on creative thinking in healthy Japanese young adults (22.98 ± 1.95 years old) in the year 2020, we tested the association between different intensities of regular PA (i.e., vigorous, moderate, and walking) and creative thinking with the cross-sectional baseline data using multiple linear regression. We also investigated whether regular PA levels were associated with the acute aerobic exercise intervention effects on creative thinking. The results showed that cross-sectionally, the regular PAs were differentially associated with divergent but not convergent thinking. Specifically, whereas the amount of vigorous-intensity PA was positively associated with fluency and flexibility, the amount of walking was positively associated with novelty on the alternate uses test (AUT) measuring divergent thinking. Importantly, the explained variances of fluency, flexibility, and novelty were 20.3% (p = 0.040), 18.8% (p = 0.055), and 20.1% (p = 0.043), respectively. None of the regular PAs predicted convergent thinking (i.e., an insight problem-solving task), nor were they associated with the acute aerobic exercise intervention effects on divergent and convergent thinking. These findings suggest that engaging in regular vigorous-intensity PA and walking may be useful strategies to enhance different aspects of divergent thinking in daily life.</jats:p>

    DOI

    Scopus

    4
    Citation
    (Scopus)
  • 「頭を良くしたければ体を鍛えなさい―脳がよろこぶ運動のすすめ」のご紹介

    望月泰博

    Voice of Somatics & Somatic Psychology   6   55 - 57  2020.03  [Invited]

  • GABAergic inhibition reduces the impact of synaptic excitation on somatic excitation

    Chiaki Kobayashi, Kazuki Okamoto, Yasuhiro Mochizuki, Hidetoshi Urakubo, Kenta Funayama, Tomoe Ishikawa, Tetsuhiko Kashima, Ayako Ouchi, Agnieszka F. Szymanska, Shin Ishii, Yuji Ikegaya

    Neuroscience Research   146   22 - 35  2019.09  [Refereed]

    DOI

    Scopus

    4
    Citation
    (Scopus)
  • Similarity in Neuronal Firing Regimes across Mammalian Species

    Yasuhiro Mochizuki

    Journal of Neuroscience   36 ( 21 ) 5736 - 5747  2016.05  [Refereed]

    Authorship:Lead author

    DOI

    Scopus

    50
    Citation
    (Scopus)
  • 神経コーディング様式の統計解析: Analog code対Digital code

    望月泰博

       2016.03

    Authorship:Lead author, Last author, Corresponding author

  • Analog and digital codes in the brain

    Yasuhiro Mochizuki

    Physical Review E - Statistical, Nonlinear, and Soft Matter Physics   89 ( 2 )  2013.10  [Refereed]

    Authorship:Lead author

    DOI

    Scopus

    16
    Citation
    (Scopus)
  • Difference in modes of firing rate modulation between cortical areas

    Yasuhiro Mochizuki, Shigeru Shinomoto

    BMC Neuroscience   14 ( S1 )  2013.07  [Refereed]

    Authorship:Lead author

    DOI

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Books and Other Publications

  • 頭を良くしたければ体を鍛えなさい : 脳がよろこぶ運動のすすめ

    陳, 冲, 望月, 泰博( Part: Joint author)

    中央公論新社  2020.01 ISBN: 9784120052606

  • 報酬予測

    望月泰博, 陳冲, 福田玄明, 中原裕之( Part: Joint author)

    日本神経科学学会 脳科学辞典  2018.03

Presentations

  • 正則化・交互作用のある場合の重回帰分析

    早稲田大学 データサイエンス実践講座 2023年度春期 第4回 

    Presentation date: 2023.05

  • 体質別のヨーガアーサナとマインドフルネス特性が気分状態に及ぼす影響

    小林 大介, 望月 泰博, 宮田 裕光

    日本マインドフルネス学会第9回大会 

    Presentation date: 2023.03

  • 瞑想の動機と予測符号化

     [Invited]

    トランスパーソナル心理学/精神医学会 第22回学術大会 

    Presentation date: 2023.02

  • 意思決定による抑うつ症状の予測:計算論的精神医学研究

    陳 冲, 望月 泰博, 萩原 康輔, 弘津 正子, 松原 敏郎, 中川 伸

    日本心理学会第86回大会 

    Presentation date: 2022.09

  • 意思決定の計算論的指標による抑うつ症状の早期予測

    Chong Chen, Yasuhiro Mochizuki, Kosuke Hagiwara, Masako Hirotsu, Toshio Matsubara, Shin Nakagawa

    Neuro2022(第45回日本神経科学大会) 

    Presentation date: 2022.07

  • ポジティブな記憶想起が不確実性下の意思決定に及ぼす影響:不安症における意思決定障害への潜在的改善効果

    陳冲, 清水夏海, 望月泰博, 萩原康輔, 弘津正子, 岡部英美, 中川伸

    第14回日本不安症学会学術大会 

    Presentation date: 2022.05

  • Pythonで学ぶデータサイエンス入門 第6回 正則化・交互作用のある場合の重回帰分析

     [Invited]

    早稲田大学データ科学連続セミナーシリーズ 

    Presentation date: 2022.05

  • Recalling Positive Autobiographical Memories Affects Decision-Making Under Risk: Potential Therapeutic Effects for Anxiety and Obsessive-Compulsive

    Chong Chen, Natsumi Shimizu, Yasuhiro Mochizuki, Kosuke Hagiwara, Karin Matsumoto, Yusuke Oda, Masako Hirotsu, Emi Okabe, Toshio Matsubara, Shin Nakagawa

    2022 Society of Biological Psychiatry Annual meeting 

    Presentation date: 2022.04

  • ヒトのシーケンシャルなリスク選択

    望月泰博  [Invited]

    日本認知科学会 知覚と行動モデリング(P&P)研究会 

    Presentation date: 2022.03

  • 山のできごと、脳と教育

    望月泰博  [Invited]

    日本催眠医学心理学会第67回大会 

    Presentation date: 2022.02

  • 身体知の実践

    射手矢岬, 榎本澄雄, 望月泰博, 長谷川智  [Invited]

    日本ソマティック心理学協会第8回記念大会 

    Presentation date: 2021.10

  • Inter-species comparison of spike trains among cortical areas

    Yasuhiro Mochizuki  [Invited]

    Presentation date: 2016.01

  • 動物種間の神経発火パターンの共通性

    Presentation date: 2015.11

  • Analysis of spike train data: Difference in firing patterns among cortical areas

    Yasuhiro Mochizuki  [Invited]

    Presentation date: 2015.05

  • Differentiation of neuronal firing patterns among cortical areas

    Presentation date: 2015.03

  • Classifying neuronal spike trains as analog or digital coding

    Yasuhiro Mochizuki, Shigeru Shinomoto

    Presentation date: 2014.10

  • Classifying neuronal spike trains as analog or digital coding

    Yasuhiro Mochizuki, Shigeru Shinomoto

    Presentation date: 2014.10

  • Statistical analysis of the neural code: Analog and digital codes

    Yasuhiro Mochizuki, Shigeru Shinomoto

    Presentation date: 2014.08

  • Statistical analysis of neuronal code: Analog and digital code

    Yasuhiro Mochizuki, Shigeru Shinomoto

    Presentation date: 2014.05

  • 神経コーディング様式の統計解析:アナログコード対デジタルコード

    望月泰博, 篠本滋

    日本物理学会第69回年次大会 

    Presentation date: 2014.03

  • Similarity in Neuronal Firing Patterns between Animal Species

    Yasuhiro Mochizuki, Shigeru Shinomoto

    Workshop on cortical dynamics 

    Presentation date: 2014.02

  • 脳神経コーディング様式の統計解析

    望月泰博, 篠本滋

    第16回情報論的学習理論ワークショップ(IBIS2013) 

    Presentation date: 2013.11

  • Difference in mode of firing rate modulation between cortical areas

    Yasuhiro Mochizuki, Shigeru Shinomoto

    Presentation date: 2013.07

  • Alternative modes in neuronal code

    Yasuhiro Mochizuki, Shigeru Shinomoto

    Presentation date: 2013.06

  • 大脳皮質機能と発火不規則性の関係およびその関係の相同性

    望月泰博, 篠本滋

    日本物理学会第68回年次大会 

    Presentation date: 2013.03

  • Systematic correlation of the cortical function and firing irregularity

    Yasuhiro Mochizuki, Shigeru Shinomoto

    GCOE symposium 

    Presentation date: 2013.02

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Syllabus

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Social Activities

  • 脳と心と修行のはなし —予測符号化とマインドフルネス—

    カルチャースクールACT 

    2023.06
    -
     

  • マインドフルネス瞑想の理論と実践 [理論編]

    朝日カルチャーセンター 

    2022.11
    -
     

  • 脳と心と修行のはなし −あなたの善悪とそれを超えた意識−

    カルチャースクールACT 

    2022.10
    -
     

  • 脳と心と修行のはなし −瞑想の科学と実践−

    カルチャースクールACT 

    2022.01
    -
     

  • マインドフルネス瞑想の理論と実践 [理論編]

    朝日カルチャーセンター 

    2022.01
    -
     

  • 日本文化から学ぶマインドフルネス 第二回「修験道」

    合同会社和の杜 

    2021.04
    -
     

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Sub-affiliation

  • Affiliated organization   Global Education Center