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Department of Neural Computation for Decsion-making NCD 数理知能研究所

About

About us

Department of Neural Computation for Decision-Making (NCD) researches and develops experimental and analytical methods based on computational model of neural circuits to elucidate the mechanisms of human learning and decision making.

We also aim to apply our findings to to solve social, economic, and health problems.

Research theme

1Neural mechanisms of decision-making in human

We are conducting the researches aiming to reveal the neural mechanisms of decision-making in human. We have revealed how algorithms of reinforcement learning, which is a candidate computational model of learning of animals, are implemented in human brain, using fMRI experiments. We have published findings on neural mechanisms of delay discount (paper 1-3). Recently, we have revealed mechanism of obsessive-compulsive disorder in terms of problematic behaviors as a result of dysfucntion of time-scale of learning (paper 4) and researches aiming to reveal neural mechanisms potentially causing problematic or healthy behaviors in adolescence and older age.

References

  1. Tanaka SC Doya K Okada G Ueda K Okamoto Y Yamawaki S. Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops.Nature Neuroscience 7(8). 887-893 2004. doi:10.1038/nn1279
  2. Tanaka SC Schweighofer N Asahi S Shishida K Okamoto Y Yamawaki S Doya K. Serotonin Differentially Regulates Short- and Long-Term Prediction of Rewards in the Ventral and Dorsal Striatum.PLoS ONE 2(12), e1333 2007. doi:10.1371/journal.pone.0001333
  3. Tanaka SC Shishida K Schweighofer N Okamoto Y Yamawaki S Doya K. Serotonin affects association of aversive outcomes to past actions.The Journal of Neuroscience 29(50), 15669-74 2009. doi:10.1523/JNEUROSCI.2799-09.2009
  4. Sakai Y Sakai Y Abe Y Narumoto J & Tanaka SC. Memory trace imbalance in reinforcement and punishment systems can reinforce implicit choices leading to obsessive-compulsive behavior.Cell reports 40(9), 111275 2022. https://doi.org/10.1016/j.celrep.2022.111275

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2Investigations of attention using electroencephalogram in human

We are developing a task assessing attentional state of human and conducting studies using subconscious information, including brain activation data measured through EEG and fMRI and other physiological data such as heart rate. We are developing training methods of metacognition on attentional state, based on subconscious information stated above and technologies to find mind-wandering using EEG.

References

  1. Kawashima I Kumano H. Prediction of Mind-Wandering with Electroencephalogram and Non-linear Regression Modeling. Front Hum Neurosci. 11 365 2017. doi:10.3389/fnhum.2017.00365
  2. Kawashima I Nagahama T Kumano H Momose K Tanaka S C. Pavlovian-based neurofeedback enhances meta-awareness of mind-wandering. Neural Networks. 158 239-248 2023.

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3Multivariate analysis on large human brain imaging database

We have analyzed large database including various measures of individual differences of human, including neuroimaging data, physiological data, and data of clinical rating scale, questionnaires, and cognitive tasks. We aim to reveal phenomenon occurring in life periods accompanying significant behavioral changes, such as adolescence and older age, through multi-modal data including neuroimaging data. We intend that these investigations will solve problems specific to these life periods in the future. We have published a paper applying machine learning to large database including data of adolescents and their parents. Our laboratory has multiple large neuroimaging and behavioral database of healthy participants, patients, and older people.

References

  1. Takagi Y Okada Y Ando S Yahata N Morita K Koshiyama D Kawakami S Sawada K Koike S Endo K Yamasaki S Nishida A Kasai K Tanaka SC. Intergenerational transmission of the patterns of functional and structural brain networks.iScience 24(7), 102708 2021. https://doi.org/10.1016/j.isci.2021.102708
  2. Takagi Y Hirayama JI Tanaka SC. State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits.Neuroimage 201, 116036 2019. doi:10.1016/j.neuroimage.2019.116036
  3. Tanaka SC Yamashita A Yahata N et al. A multi-site multi-disorder resting-state magnetic resonance image database.Scientific Data 8(1), 227 2021. doi:10.1038/s41597-021-01004-8

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News

Publications

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Member

Department Head

Saori C. TANAKA
Saori C. TANAKA
Department Head
Department of Neural Computation for Decision-making (NCD)
ATR Brain Information Communication Research Lab. Group
Contact
e-mail: xsaori ＠ ATR.jp
Link
ResearchmapGoogle Scholar
see detailed career history
Biography
Department Head, 2015.9 –
Department of Neural Computation for Decision-making (NCD), ATR Brain Information Communication Research Lab. Group
Senior Researcher, 2015.4 – 2015.9
Researcher, 2014.1 – 2015.3
Department of Cognitive Neuroscience (DCN), ATR Brain Information Communication Research Lab. Group, Japan
Associate Professor, 2012 – 2013
Associate Professor (specially-appointed), 2009 – 2012
Institute of Social and Economic Research, Osaka University, Japan
Researcher, 2007 – 2008
Department of Computational Biology, ATR Brain Information Communication Research Lab. Group
Posdoc fellow, 2006 – 2007
Human Reward Learning Laboratory (John O’Doherty lab)
Division of Humanities and Social Sciences
California Institute of Technology
Ph. D. Candidate, 2003 – 2006
Graduate School of Information Science, Nara Institute of Science and Technology, Japan
Master of Science, 2001 – 2003
Graduate School of Information Science, Nara Institute of Science and Technology, Japan
Bachelor of Science, 1997 – 2001
Department of Physics, Faculty of Science, Osaka University, Japan
Publication
2019
Journal papers

  1. Takagi Y, Hirayama JI, Tanaka SC.
    State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits.
    NeuroImage 201, 116036.

  2. Yamashita A, Yahata N, Itahashi T, Lisi G, Yamada T, Ichikawa N, Takamura M, Yoshihara Y, Kunimatsu A, Okada N, Yamagata H, Matsuo K, Hashimoto R, Okada G, Sakai Y, Morimoto J, Narumoto J, Shimada Y, Kasai K, Kato N, Takahashi H, Okamoto Y, Tanaka SC, Kawato M, Yamashita O, Imamizu H.
    Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias.
    PLoS biology 17(4), e3000042.

2018
Journal papers

  1. Tanaka SC, Yahata N, Todokoro A, Kawakubo Y, Kano Y, Nishimura Y, Ishii-Takahashi A, Ohtake F & Kasai K.
    Preliminary evidence of altered neural response during intertemporal choice of losses in adult attention-deficit hyperactivity disorder
    Scientific Reports 8, 6703.

  2. Takagi Y, Sakai Y, Abe Y, Nishida S, Harrison BJ, Martínez-Zalacaín I, Soriano-Mas C, Narumoto J, Tanaka SC.
    A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity
    NeuroImage 172, pp. 506–516.

2017
Journal papers

  1. Takagi Y, Sakai Y, Lisi G, Yahata N, Abe Y, Nishida S, Nakamae T, Morimoto J, Kawato M, Narumoto J, Tanaka SC.
    A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity.
    Scientific Reports 7, 7538.

Books

  1. Ogaki M and Tanaka SC
    Behavioral Economics: Toward a New Economics by Integration with Traditional Economics,
    Springer, 2017

Review articles, Technical

  1. Tanaka SC, Yamada K, Kitada R, Tanaka S, Sugawara SK, Ohtake F, Sadato N.
    Overstatement in happiness reporting with ordinal, bounded scale.
    Scientific Reports 6, 21321.

  2. Fermin AS, Yoshida T, Yoshimoto J, Ito M, Tanaka SC, Doya K.
    Model-based action planning involves cortico-cerebellar and basal ganglia networks.
    Scientific Reports 6, 31378.

2015
Review articles, Technical

  1. 田中沙織. 【神経経済学】経済行動の意思決定メカニズムを解明する新分野. 経済セミナー. 2015年増刊号, 日本評論社.

  2. 田中沙織, 酒井雄希, 成本迅.「衝動性と強迫性 ～計算論的アプローチによる疾患研究」分子精神医学, 15,15-22

2014
Journal papers

  1. Tanaka SC, Yamada K, Yoneda H, Ohtake F.
    Neural Mechanisms of Gain–Loss Asymmetry in Temporal Discounting.
    The Journal of Neuroscience 34(16), pp. 5595-5602.

2013
Review articles, Technical

  1. Tanaka SC, Computational model of dopamine and serotonin in decision making. 日本生物学的精神医学会誌. 24(2),pp.80-88

2012
Journal papers

  1. Demoto Y, Okada G, Okamoto Y, Kunisato Y, Aoyama S, Onoda K, Munakata A, Nomura M, Tanaka SC, Schweighofer N, Doya K, Yamawaki S.
    Neural and Personality Correlates of Individual Differences Related to the Effects of Acute Tryptophan Depletion on Future Reward Evaluation.
    Neuropsychobiology 65(2), pp. 55-64.

Books

  1. 大竹文雄, 田中沙織, 佐倉統.
    「脳の中の経済学」
    ディスカヴァー・トゥエンティワン, 2012年12月

2011
Journal papers

  1. Onoda K, Okamoto Y, Kunisato Y, Aoyama S, Shishida K, Okada G, Tanaka SC, Schweighofer N, Yamaguchi S, Doya K, Yamawaki S.
    Inter-individual discount factor differences in reward prediction are topographically associated with caudate activation.
    Experimental Brain Research 212(4), pp. 593-601.

Review articles, Technical

  1. 田中沙織, 酒井雄希, 成本迅, 銅谷賢治.
    「衝動性に関するセロトニンの計算論とイメージング」, 臨床精神医学,     40(4),pp.479–489

2010
Review articles, Technical

  1. 岡本泰昌, 山脇成人, 田中沙織, 銅谷賢治.
    「計算論的神経科学研究の精神医学への応用」, 実験医学,     28(14),pp.2211–2217

  2. 田中沙織
    「社会行動とセロトニン」, 分子精神医学,     10(3),pp.192-197

2009
Journal papers

  1. Tanaka SC, Shishida K, Schweighofer N, Okamoto Y, Yamawaki S, Doya K,
    Serotonin affects association of aversive outcomes to past actions.
    The Journal of Neuroscience 29(50), pp. 15669-74

Review articles, Technical

  1. 田中沙織.
    「急がば廻れ：報酬予測のメカニズム」, 神経心理学,     25(1),pp.43-50

  2. 春野雅彦, 田中沙織, 川人光男.
    政治的, 経済的決定における報酬系の役割, レヴァイアサン,     44,pp.7-21

  3. 田中沙織.
    「『脳機能イメージングの拡がり』特集号」
    遅延を伴う報酬予測の脳機構の解明−強化学習モデルに基づくfMRI データの解析―. システム/制御/情報，     53(4),pp.1–6

2008
Journal papers

  1. Tanaka SC, Balleine BW, O’Doherty JP,
    Calculating Consequences: Brain Systems That Encode the Causal Effects of Actions.
    The Journal of Neuroscience 28(26), pp. 6750-6755

  2. Schweighofer N, Bertin M, Shishida K, Okamoto Y, Tanaka SC, Yamawaki S, Doya K,
    Low-serotonin levels increase delayed reward discounting in humans.
    The Journal of Neuroscience 28(17), pp. 4528-32

Review articles, Technical

  1. 田中沙織.
    強化学習理論から行動学習・意思決定の脳機構を解明する.
    脳21,     10(4),pp382-388

  2. 田中沙織. 衝動と脳−近似報酬と未来報酬. 社会活動と脳 行動の原点を探る 脳とソシアル. 2008, 医学書院

  3. 田中沙織. 現在の得か？将来の得か？理性と衝動性の脳内メカニズム. ブレイン・デコーディング　脳情報を読む. 「脳を生かす」研究会, pp.142-153, 2008, オーム社

2007
Journal papers

  1. Tanaka SC, Schweighofer N, Asahi S, Shishida K, Okamoto Y, Yamawaki　S, Doya K.
    Serotonin Differentially Regulates Short- and Long-Term Prediction of Rewards in the Ventral and Dorsal Striatum.
    PLoS ONE 2(12),pp.e1333

  2. Schweighofer N, Tanaka SC, Doya K.
    Serotonin and the Evaluation of Future Rewards: Theory, Experiments, and Possible Neural Mechanisms.
    Annals of the New York Academy of Science 1104, pp.289-300

Review articles, Technical

  1. 西條辰義, 田中沙織, 春野雅彦.
    実験からみえる“人間モデル”,
    経済セミナー増刊「ゲーム理論プラス」, pp.28-36, 日本評論社

2006
Journal papers

  1. Tanaka SC, Samejima K., Okada G, Ueda K, Okamoto Y, Yamawaki S & Doya K.
    Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics.
    Neural Networks 9(8), pp. 1233-1242

  2. Schweighofer N, Shishida K, Han CE, Okamoto Y, Tanaka SC, Yamawaki S, Doya K.
    Humans can adopt optimal discounting strategy under real-time constraints.
    PLoS Computational Biology 2(11), pp. e152

2004
Journal papers

  1. Tanaka SC, Doya K, Okada G, Ueda K, Okamoto Y, Yamawaki S,
    Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops.
    Nature Neuroscience 7(8), pp. 887-893

  2. Tanaka SC, Doya K, Okada G, Ueda K, Okamoto Y, Yamawaki S.
    Different cortico-basal ganglia loops specialize in reward prediction on different time scales.
    Advances in neural information processing systems 16, pp. 701-708, MIT Press

2003
Review articles, Technical

  1. 田中沙織, 銅谷 賢治, 岡田 剛, 上田 一貴, 岡本 泰昌, 山脇 成人
    「空間的情報を含むマルコフ決定課題を用いた長期と短期の報酬予測に伴う脳活動のfMRI測定」
    電気情報通信学会技術研究報告書, 2003,     Vol.103, No.92, pp.1-6

2002
Review articles, Technical

  1. 田中沙織, 銅谷 賢治, 岡田 剛, 上田 一貴, 岡本 泰昌, 山脇 成人
    「長期と短期の報酬予測に伴う脳活動のfMRI測定」
    電気情報通信学会技術研究報告書, 2002,     Vol.102, No.157, pp.37-42

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Principal Researcher

Yuki Sakai
Yuki Sakai
Ph.D. in Medicine, M.D.
Principal Researcher, Department of Neural Computation for Decision-making (NCD), ATR Brain Information Communication Research Lab. Group
Visiting Lecturer, Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine
Link
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Senior Researcher

Issaku Kawashima
Issaku Kawashima
Ph.D. in Human Sciences, Clinical Psychologist, Certified Public Psychologist
Senior Researcher, Department of Neural Computation for Decision-making (NCD), ATR Brain Information Communication Research Lab. Group
Link
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Researcher

Yuuki Uchida
Yuuki Uchida
Ph.D. in Medicine, M.A. in Science
Researcher, Department of Neural Computation for Decision-making (NCD), ATR Brain Information Communication Research Lab. Group
Link
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Research Engineers

Kana Inoue
Kana Inoue
Clinical Psychologist, Certified Public Psychologist
Research Engineer, Department of Neural Computation for Decision-making (NCD), ATR Brain Information Communication Research Lab. Group
Kaori Tachi
Kaori Tachi
Clinical Psychologist, Certified Public Psychologist
Research Engineer, Department of Neural Computation for Decision-making (NCD), ATR Brain Information Communication Research Lab. Group
Tomoko Kawashima
Tomoko Kawashima
Clinical Psychologist, Certified Public Psychologist
Research Engineer, Department of Neural Computation for Decision-making (NCD), ATR Brain Information Communication Research Lab. Group
Link
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Secretary


Airi Sumida

Visiting Researcher

Tomosumi Haitani
Tomosumi Haitani
Ph.D. in Human Sciences, Clinical Psychologist, Certified Public Psychologist
Researcher, Clinical Development Department, XNef, Inc.
Visiting Researcher, Department of Neural Computation for Decision-making (NCD), ATR Brain Information Communication Research Lab. Group
Link
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Student Interns

Kaito Sano
Kaito Sano

Tatsuya Onishi

Takuma Shirakawa

Daisuke Narita

Engineer


Nobuyuki Izumihara

Contact

Department of Neural Computation for Decision-making(NCD)

Address
2-2-2 Hikaridai Seika-cho, Sorakugun, Kyoto
619-0288 Japan (Kansai Science City)
Contact
Email: ncd-info (@) ATR.jp
Access
Access Map （ATR site “Access and Map”）

Link

  • 国立研究開発法人 日本医療研究開発機構／Japan Agency for Medical Research and Development
  • 国立大学法人 奈良先端科学技術大学院大学／NARA,Institute of Science and Technology
  • ATR/NAIST 教育連携研究室　計算神経科学研究室