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International Journal Paper

  1. 1. *Jun Izawa, Noriyuki Higo, Yumi Murata, Accounting for the valley of recovery during post-stroke rehabilitation training via a model-based analysis of macaque manual dexterity, Frontiers in rehabilitation sciences, 2022, 3, 1042912, reviewed BibTeX
  2. 2. Hamaguchi K, Aoki-Takahashi H, Watanabe D, Prospective and retrospective values integrated in frontal cortex drive predictive choice, Proceedings of the National Academy of Sciences, 2022, 119, e2206067119, reviewed# BibTeX
  3. 3. Cheng, D., Lee, J.S., Brown, M., Ebert, M.S., McGrath, P.T., Tomioka, M., Iino, Y., and *Bargmann, C.I., Insulin/IGF signaling regulates presynaptic glutamate release in aversive olfactory learning, Cell Rep, 2022, 41, 8, 111685, reviewed BibTeX
  4. 4. Tanaka H, Shou Q, Kiyonari T, Matsuda T, Sakagami M, Takagishi H*, Right dorsolateral prefrontal cortex regulates default prosociality preference, Cerebral Cortex, 2022, 33, 1, 5420-5425, reviewed BibTeX
  5. 5. Taisei Sugiyama, Keita Nakae, *Jun Izawa, Transcranial magnetic stimulation on the dorsal premotor cortex facilitates human visuomotor adaptation, NeuroReport, 2022, 33, 16, 723-727, reviewed BibTeX
  6. 6. *Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui, Context limitations make neural language models more human-like, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, Long Paper, 10421-10436, reviewed BibTeX
  7. 7. *Ryo Yoshida, Yohei Oseki, Composition, attention, or both?, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, Findings, 5822-5834, reviewed BibTeX
  8. 8. Mabardi, L., Sato, H., Toyoshima, Y., *Iino, Y., and *Kunitomo, H., Different modes of stimuli delivery elicit changes in glutamate driven, experience-dependent interneuron response in C. elegans, Neurosci Res, 2023, 186, 33-42, reviewed BibTeX
  9. 9. Yoshida R, Takamori M, Matsumoto H, *Miura K, Tropical support vector machines: Evaluations and extension to function spaces, Neural Networks, 2022, 157, 77-89, reviewed BibTeX
  10. 10. *Lalande F, Trani A, Predicting the stability of hierarchical triple systems with convolutional neural networks, The Astrophysical Journal, 2022, 938, 18, Research article BibTeX
  11. 11. *Ito S, Kimura T, Gomi H, Attribution of sensory prediction error to perception of muscle fatigue, Scientific Reports, 2022, 12, 1, 16708, https://www.nature.com/articles/s41598-022-20765-9 BibTeX
  12. 12. Fermin ASR*, Kiyonari T, Matsumoto Y, Takagishi H, Li Y, Kanai R, Sakagami M, Akaishi R, Ichikawa N, Takamura M, Yokoyama S, Machizawa MG, Chan HL, Matani A, Yamawaki S, Okada G, Okamoto Y, Yamagishi T, The neuroanatomy of social trust predicts depression vulnerability, Scientific Reports, 2022, 12, 1, reviewed BibTeX
  13. 13. Yihao Wu, Masahiko Morita, *Jun Izawa, Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning, Neural Networks, 2022, 154, 109-121, reviewed BibTeX
  14. 14. *De Havas J, Ito S, Bestmann S, Gomi H, Neural dynamics of illusory tactile pulling sensations, iScience, 2022, 25, 9, 105018, https://linkinghub.elsevier.com/retrieve/pii/S2589004222012901 BibTeX
  15. 15. Lucas Rebelo Dal’Bello, *Jun Izawa, Computational role of exploration noise in error-based de novo motor learning, Neural Networks, 2022, 153, 349-372, reviewed BibTeX
  16. 16. *Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo., World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator, Advanced Robotics, 2022, 36, 17－18, 850-869, reviewed BibTeX
  17. 17. *Doya K (Guest Editors), Friston K, Sugiyama M,Tenenbaum J, Neural Networks special issue on Artificial Intelligence and Brain Science, Neural Networks, 2022, 155, 328-329, Editorial BibTeX
  18. 18. *Hongjie Bi and Tomoki Fukai, Amplitude-mediated chimera states in nonlocally coupled Stuart-Landau oscillators., Chaos, 2022, 32, 83125, reviewed BibTeX
  19. 19. *Bi H, Fukai T, Amplitude-mediated chimera states in nonlocally coupled Stuart-Landau oscillators., Chaos, 2022, 32, 83125, reviewed BibTeX
  20. 20. *Ozawa T+, Kaseda K+, Ichitani Y, Yamada K, Caffeine facilitates extinction of auditory fear conditioning in rats, Neuropsychopharmacology Reports, 2022, 42, 4, 521-525, reviewed BibTeX
  21. 21. Kei Oyama+, Yukiko Hori+, Koki Mimura+, Yuji Nagai, Mark AG Eldridge, Richard C Saunders, Naohisa Miyakawa, Toshiyuki Hirabayashi, Yuki Hori, Ken-ichi Inoue, Tetsuya Suhara, Masahiko Takada, Makoto Higuchi, Barry J Richmond, Takafumi Minamimoto*, Chemogenetic disconnection between the orbitofrontal cortex and the rostromedial caudate nucleus disrupts motivational control of goal-directed action, Journal of Neuroscience, 2022, 42, 32, 6267-6275, reviewed BibTeX
  22. 22. *Hamasaki Y, Pionnié-Dax N, Dorard G, Tajan N, Hikida T, Preliminary study of the social withdrawal (hikikomori) spectrum in French adolescents: focusing on the differences in pathology and related factors compared with Japanese adolescents, BMC Psychiatry, 2022, 22, 1, 477, reviewed BibTeX
  23. 23. Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, *Hikida T, Importin α3 (KPNA3) deficiency augments effortful reward-seeking behavior in mice, Frontiers in Neuroscience, 2022, 16, 905991, reviewed BibTeX
  24. 24. *Macpherson T+, Kim JY+ and *Hikida T, Nucleus accumbens core dopamine D2 receptor-expressing neurons control reversal learning but not set-shifting in behavioral flexibility in male mice, Frontiers in Neuroscience, 2022, 16, 885380, reviewed BibTeX
  25. 25. *Suzuki S, Takeda S, Makishima N, Ando A, Shouno H, Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations, IEEE Access, 2022, 10, 68384-68396 BibTeX
  26. 26. *Toshitake Asabuki, Prajakta Kokate and Tomoki Fukai, Neural circuit mechanisms of hierarchical sequence learning tested on large-scale recording data., PLOS Computational Biology, 2022, 18, e1010214, reviewed BibTeX
  27. 27. *TAsabuki T, Kokate P, Fukai T, Neural circuit mechanisms of hierarchical sequence learning tested on large-scale recording data., PLOS Computational Biology, 2022, 18, e1010214, reviewed BibTeX
  28. 28. Hiroki, S., Yoshitane, H., Mitsui, H., Sato, H., Umatani, C., Kanda, S., Fukada, Y., and *Iino, Y., Molecular encoding and synaptic decoding of context during salt chemotaxis in C. elegans, Nat Commun, 2022, 13, 1, e2928, reviewed BibTeX
  29. 29. Oguchi M, Sakagami M*, Dissecting the Prefrontal Network With Pathway-Selective Manipulation in the Macaque Brain—A Review, Frontiers in Neuroscience, 2022, 16, reviewed BibTeX
  30. 30. *Doya K, Ema A, Kitano H, Sakagami M, Russell S, Social impact and governance of AI and neurotechnologies, Neural Networks, 2022, 152, 542-554, Perspective article BibTeX
  31. 31. *Abekawa N, Ito S, Gomi H, Gaze-specific motor memories for hand-reaching, Current Biology, 2022, S0960982222007011., open access: https://doi.org/10.1016/j.cub.2022.04.065 BibTeX
  32. 32. Doya, K*., Ema, A., Kitano, H., Sakagami, M. Russell, S., Social impact and governance of AI and neurotechnologies, Neural Networks, 2022, 152, 542-554, reviewed BibTeX
  33. 33. Mori, K., Koebis, M., Nakao, K., Kobayashi, S., Kiyama, Y., Watanabe, M., Manabe, T., Iino, Y., and *Aiba, A., Loss of calsyntenin paralogs disrupts interneuron stability and mouse behavior, Mol Brain, 2022, 15, 1, 23, reviewed BibTeX
  34. 34. Uchida Y, *Hikida T, *Yamashita Y, Computational mechanisms of osmoregulation: a reinforcement learning model for sodium appetite, Frontiers in Neuroscience, 2022, 16, 857009, reviewed&# BibTeX
  35. 35. *Giorgia Dellaferrera, Toshitake Asabuki and Tomoki Fukai, Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons., Frontiers in Neuroscience, 2022, 16, 855753, reviewed BibTeX
  36. 36. *Dellaferrera G, Asabuki T, Fukai T, Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons., Frontiers in Neuroscience, 2022, 16, 855753, reviewed BibTeX
  37. 37. Matsuo Y, Lecun Y, Sahani M, Precup D, Silver D, Sugiyama M, Uchibe E, *Morimoto, J, Deep learning, reinforcement learning, and world models, Neural Networks, 2022, 152, 267-275, reviewed BibTeX
  38. 38. *Ito J, Joana C, Yamane Y, Fujita I, Tamura H, Maldonado P, Grün S, Latency shortening with enhanced sparseness and responsiveness in V1 during active visual sensing, Scientific Reports, 2022, 12, 6021, Research BibTeX
  39. 39. Ike, Y., *Tomioka, M., and *Iino, Y., Involvement of HECT-type E3 ubiquitin ligase genes in salt chemotaxis learning in Caenorhabditis elegans, Genetics, 2022, 220, 4, iyac025, reviewed BibTeX
  40. 40. *Fehring DJ, Pascoe AJ, Haque ZZ, Samandra R, Yokoo S, Abe H, Rosa MGP, Tanaka K, Yamamori T, Mansouri FA., Dimension of visual information interacts with working memory in monkeys and humans, Scientific Report, 2022, 12, 1, 5335, reviewed BibTeX
  41. 41. Nishina K, Shou Q, Takahashi H, Sakagami M, Inoue-Murayama M, Takagishi H*, Association Between Polymorphism (5-HTTLPR) of the Serotonin Transporter Gene and Behavioral Response to Unfair Distribution, Frontiers in Behavioral Neuroscience, 2022, 16, reviewed BibTeX
  42. 42. *Benucci, A., Motor-related signals support localization invariance for stable visual perception, Plos Comp. Biol., 2022, 18, 3, e1009928, Accepted BibTeX
  43. 43. Hiroyuki Miyawaki, Kenji Mizuseki, De novo inter-regional coactivations of preconfigured local ensembles support memory, Nature Communications, 2022, 13, 1, 1272 BibTeX
  44. 44. *Taniguchi T, Yamakawa H, Nagai T, Doya K, Sakagami M, Suzuki M, Nakamura T, Taniguchi A, A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots, Neural Networks, 2022, 150, 293-312, Review BibTeX
  45. 45. *Masahiro Suzuki, Yutaka Matsuo, A survey of multimodal deep generative models, Advanced Robotics, 2022, 36, 261–278, reviewed BibTeX
  46. 46. Umeda R, Teranishi H, Hada K, Shimizu N, Shiraishi H, Shaohong L, Shide M, Higa R, Shikano K, Shin T, Mimata H, Hikida T, Hanada T, *Hanada R., Vrk2 deficiency elicits aggressive behavior in female zebrafish, Genes to Cells, 2022, 27, 4, 254-265, reviewed BibTeX
  47. 47. Jaaro-Peled H, Kumar S, Hughes D, Sumitomo A, Kim S-H, Zoubovsky S, Hirota-Tsuyada Y, Zala D, Bruyere J, Katz B, Huang B, Flores R, Narayan S, Hou Z, Economides A, Hikida T, Wetsel W, Deisseroth K, Mori S, Brandon N, Tanaka M, Ishizuka K, Houslay M, Saudou F, *Dzirasa K, *Sawa A, *Tomoda T, Regulation of sensorimotor gating via Disc1/Huntingtin-mediated Bdnf transport in the cortico-striatal circuit, Molecular Psychiatry, 2022, 27, 3, 1805-1815, reviewed BibTeX
  48. 48. *Ryo Yoshida, Yohei Oseki, Learning argument structures with recurrent neural network grammars, Proceedings of the Society for Computation in Linguistics (SCiL), 2022, Long Paper, 101-111, reviewed BibTeX
  49. 49. Hiroki, S., and Iino, Y., The redundancy and diversity between two novel PKC isotypes that regulate learning in Caenorhabditis elegans, Proc Natl Acad Sci U S A, 2022, 119, 3, e2106974119, reviewed BibTeX
  50. 50. *Matsumoto M, Abe H, Tanaka K, Matsumoto K, Different types of uncertainty distinguished by monkey prefrontal neurons, Cerebral Cortex Communications, 2022, 3, 1-17, reviewed BibTeX
  51. 51. *Tomioka, M., Jang, M.S., and Iino, Y., DAF-2c signaling promotes taste avoidance after starvation in Caenorhabditis elegans by controlling distinct phospholipase C isozymes, Commun Biol, 2022, 5, 1, 30, reviewed BibTeX
  52. 52. *Mansouri FA, Buckley MJ, Tanaka K, The neural substrate and underlying mechanisms of executive control fluctuations in primates, Progress in Neurobiology, 2022, 209, 102216, reviewed BibTeX
  53. 53. Ide, S., Kunitomo, H., Iino, Y., and Ikeda, K., Caenorhabditis Elegans Exhibits Morphine Addiction-like Behavior via the Opioid-like Receptor NPR-17, Front Pharmacol, 2022, 12, 802701, reviewed BibTeX
  54. 54. *Onitsuka T, Hirano Y, Nemoto K, Hashimoto N, Kushima I, Koshiyama D, Koeda M, Takahashi T, Noda Y, Matsumoto J, Miura K, Nakazawa T, Hikida T, Kasai K, Ozaki N, *Hashimoto R, Trends in big data analyses by multicenter collaborative translational research in psychiatry, Psychiatry and Clinical Neurosciences, 2022, 76, 1, 1-14, reviewed BibTeX
  55. 55. *Shingo Shimoda, Lorenzo Jamone, Dimitri Ognibene, Takayuki Nagai, Alessandra Sciutti, Alvaro Costa-Garcia, Yohei Oseki, Tadahiro Taniguchi, What is the role of the next generation of cognitive robotics?, Advanced Robotics, 2022, 36, 3-16, reviewed BibTeX

Domestic Journal Paper

  1. 1. 齊藤奈英，板倉誠，田井中一貴，Macpherson T，疋田貴俊，山口瞬，佐藤朝子，大久保直，知見聡美，南部篤，*笹岡俊邦., D1およびD2ドーパミン受容体を介する神経伝達による運動制御と学習記憶の仕組みの理解, 日本生物学的精神医学会誌, 2022, 33, 3, 100-105, invited BibTeX
  2. 2. *山下陽一郎, 原田宥都, 大関洋平, 早押しクイズにおける予測処理：機械の言語処理と人間の言語処理と, NLP若手の会（YANS）第17回シンポジウム, 2022 BibTeX
  3. 3. *染谷大河+, 吉田遼+, 中石海+, 濱西祐之介+, 大関洋平, チョムスキー階層とニューラル言語モデル, NLP若手の会（YANS）第17回シンポジウム, 2022 BibTeX
  4. 4. *中村梓甫, 染谷大河, 原田宥都, 持橋大地, 大関洋平, BERTによる日本文学作品の著者分類とその分類根拠の分析, 情報処理学会 第252回自然言語処理研究会, 2022, 2022-NL-252, 1-6 BibTeX
  5. 5. *小林由弥, 鈴木雅大, 松尾豊, Transformerと自己教師あり学習を用いたシーン解釈手法の提案, 人工知能学会論文誌, 2022, 37, 2, I-L75_1-17, reviewed BibTeX
  6. 6. 能地宏+, *大関洋平+, どれほどの統語的教示が必要十分なのか？, 言語処理学会第28回年次大会発表論文集, 2022, 976-980 BibTeX
  7. 7. *吉田遼, 大関洋平, トランスフォーマー文法, 言語処理学会第28回年次大会発表論文集, 2022, 448-452 BibTeX
  8. 8. *染谷大河, 大関洋平, 日本語版CoLAの構築, 言語処理学会第28回年次大会発表論文集, 2022, 1872-1877 BibTeX
  9. 9. *染谷大河, 大関洋平, 日本語版CoLAの構築の舞台裏, 言語処理学会 ワークショップ「日本語における評価用データセットの構築と利用性の向上」, 2022 BibTeX
  10. 10. *染谷大河, 進藤裕之, 大関洋平, 情報抽出技術を用いたJCoLAの拡張に向けて, 言語処理学会第28回年次大会発表論文集, 2022, 290-295 BibTeX
  11. 11. *栗林樹生, 大関洋平, Ana Brassard, 乾健太郎, ニューラル言語モデルの過剰な作業記憶, 言語処理学会第28回年次大会発表論文集, 2022, 1530-1535 BibTeX
  12. 12. *石月由紀子, 栗林樹生, 松林優一郎, 大関洋平, 情報量に基づく日本語項省略の分析, 言語処理学会第28回年次大会発表論文集, 2022, 442-447 BibTeX
  13. 13. 庄野 逸, ディープラーニングにおけるビルディングブロックの発展と展望, 電子情報通信学会誌, 2022, 10, 5, 136-142, invited BibTeX

International Conference

  1. 1. *Hikida T, Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, Motivational increase and brain network variation based on functional connectivity in Importin α3 (KPNA3) deficient mice, 61st Annual Meeting of Neuropsychopharmacology, 2022, online, poster BibTeX
  2. 2. Doya K, What is takes to create a humanoid, Humanoids2022, 2022, 沖縄県、日本, Invited Speaker BibTeX
  3. 3. *Macpherson T, Striatal mechanisms of discrimination learning and their dysfunction in schizophrenia model mice, Neuroscience 2022, 2022, San Diego, USA, invited BibTeX
  4. 4. *Sakurai K, Kasahara E, Ozawa T, Macpherson T, Miyamoto Y, Yoneda Y, Sekiyama A, Oka M, Hikida T, Effects of Importin α1(KPNA1) depletion and adolescent social stress on psychiatric disorder-associated behaviors in mice, Neuroscience 2022, 2022, San Diego, USA, poster BibTeX
  5. 5. *Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, Hikida T, Motivational increase and brain network variation based on functional connectivity in Importin α3 (KPNA3) deficient mice, Neuroscience 2022, 2022, San Diego, USA, poster BibTeX
  6. 6. *Desforges M, Flotho P, Kuhn B, Doya K, Simultaneous recording of neuromodulator and calcium spatiotemporal activity reveals, Societyn for Neuroscience Annual Meeting, 2022, San Diego, poster BibTeX
  7. 7. *Macpherson T, Hikida T, Cell type-specific control of reward learning in the brain, Effects of Importin α1(KPNA1) depletion and adolescent social stress on psychiatric disorder-associated behaviors in mice.E13, 2022, Kanazawa, Japan, oral BibTeX
  8. 8. *Lalande F, Doya K, Numerical data imputation: choose kNN over deep learning, SISAP 2022, 2022, Bologna, Italy, Oral Presentation + poster BibTeX
  9. 9. *Hikida T, Nishioka T, Macpherson T, Hamaguchi K, Neural mechanisms for the strategy to avoid a choice that leads to negative outcome in visual discrimination learning, 4th International Touchscreen Symposium, 2022, online, invited BibTeX
  10. 10. *Macpherson T, Attachaipanich S, Nishioka T, Hikida T, Nucleus accumbens subpopulations cooperatively signal reward and aversion, 4th Japan-UK Neuroscience Symposium 2022, 2022, Karuizawa, Japan, poster BibTeX
  11. 11. Doya K, Data-Driven and Theory-Driven Approaches in Neuroscience, 2nd Taiwan Society for Neuroscience Meeting, 2022, online, Invited Speaker BibTeX
  12. 12. *Ayaka Matsumoto, Chenqi Zhang, Akihiro Isozaki, Keisuke Goda, Yu Toyoshima, Yuichi Iino, Investigating how worms integrate sensory and motor information in salt klinotaxis, CeNeuro2022 (C. elegans Topic Meeting: Neuronal Development, Synaptic Function and Behavior), 2022, Vienna, Austria BibTeX
  13. 13. Shingo Hiroki, Hirofumi Sato, Yu Toyoshima, Llian Mabardi, Hikari Yoshitane, Hinako Mitsui, Manami Kanamori, Chie Umatani, Shinji Kanda, Mashiro Tomoioka, Koichi Hashimoto, Hirofumi Kunitomo, Yoshitaka Fukada, Takeshi Ishihara & *Yuichi Iino, Molecules and neural network underlying salt preference, CeNeuro2022 (C. elegans Topic Meeting: Neuronal Development, Synaptic Function and Behavior), 2022, Vienna, Austria BibTeX
  14. 14. *Macpherson T, Neural circuit mechanisms in behavioral flexibility, International Symposium on Artificial Intelligence and Brain Science 2022, 2022, Okinawa, Japan, invited BibTeX
  15. 15. *Li Y, Doya K, Dual Bayesian PCA for Factor Analysis on Calcium imaging data., The 45th Annual Meeting of the Japan Neuroscience Society (Neuron 2022), 2022, 沖縄県、日本, poster BibTeX
  16. 16. Doya K, Serotonin and model-based decision making, the Reward and Decision-Making meeting, 2022, Lake Arrowhead, USA, Invited Speaker BibTeX
  17. 17. *Han D, Kozuno T, Luo X, Chen Z, Doya K, Yang Y, Li D, Variational oracle guiding for reinforcement learning, International Conference on Learning Representations (ICLR2022), 2022, online, poster BibTeX
  18. 18. *Hiroki Furuta, Yutaka Matsuo, and Shixiang Shane Gu, Generalized Decision Transformer for Offline Hindsight Information Matching, International Conference on Learning Representations 2021, 2022, Rwanda, reviewed BibTeX
  19. 19. Yohei Oseki, Building machines that process natural language like humans, Rutgers University Colloquium, 2022, Zoom, Online, invited BibTeX
  20. 20. Doya K, Embodied agents for survival, reproduction, and prediction, International Conference on Embodied Intelligence, 2022, online BibTeX
  21. 21. Doya K, Canonical Cortical Circuits and the Duality of Inference and Control, 43rd Annual Meeting, National Institute of Neuroscience, 2022, online, Invited lecture BibTeX
  22. 22. Doya K, Context-dependent interaction of dopamine and serotonin, COSYNE2022 Neuromodulation Workshop, 2022, online, Invited lecture BibTeX
  23. 23. Taira M, Serotonergic Control of Model-based Decision Making, COSYNE2022, 2022, online, Poster presentation BibTeX
  24. 24. *Hamaguchi K, From retrospective to prospective: integrated value representation in frontal cortex for predictive choice behavior, International Symposium on Development and Plasticity of Neural Systems, 2022, Online, poster BibTeX
  25. 25. Doya K, Neural Circuits for Mental Simulation, 8th Annual Conference of Cognitive Science, 2022, online, Invited lecture BibTeX
  26. 26. *Matsumoto H, Pathway-specific signals of midbrain dopamine neurons in reward-based decisions, The NIPS Research Meeting, 2022, invited BibTeX
  27. 27. Yohei Oseki, Human language processing in comparative computational psycholinguistics, Dongguk University Colloquium, 2022, Zoom, Online, invited BibTeX

Domestic Conference

  1. 1. *疋田貴俊, 側坐核のドーパミン動態の解析, 第19回COCORO会議、第19回脳表現型の分子メカニズム研究会, 2022 BibTeX
  2. 2. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, 核輸送因子Importinα3/KPNA３欠損による報酬に対する動機づけの上昇とその脳内ネットワーク変化, 第45回日本分子生物学会年会, 2022 BibTeX
  3. 3. *櫻井 航輝, 宮本 洋一, 森田 真規子, マクファーソン トム, 小澤 貴明, 岡 正啓, 疋田 貴俊, 核輸送因子importinα4/KPNA4ノックアウトマウスにおける疾患様行動異常の要員探索, 第45回日本分子生物学会年会, 2022 BibTeX
  4. 4. *Li S, 櫻井 航輝, PAN YUE, Wang Q, 高尾 敏文, 疋田 貴俊, LC-MS/MSによる多発硬化症モデルマウスの網羅的解析, 第45回日本分子生物学会年会, 2022 BibTeX
  5. 5. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, インポーチンα3（KPNA３）欠損による報酬に対する動機づけの上昇とその脳内ネットワーク変化, 第114回近畿生理学談話会, 2022 BibTeX
  6. 6. 柴田 智弘, *小澤 貴明, 松本 悠真, Macpherson T, 疋田 貴俊, マウスの報酬予測行動における脳内ドーパミン放出動態の解析, 第114回近畿生理学談話会, 2022 BibTeX
  7. 7. Doya K, 人工知能と脳の作動原理, 第５２回日本臨床神経生理学会, 2022 BibTeX
  8. 8. 山川宏, 松尾豊, 人間のように多様なEntificationを行うAI., 第22回 汎用人工知能研究会, 2022 BibTeX
  9. 9. *疋田貴俊, 柔軟な認知行動のための神経回路機構, BPCNPNPPP4学会合同年会, 2022 BibTeX
  10. 10. *志茂 優斗, 小澤 貴明, Macpherson Tom, 疋田 貴俊, ニコチン投与によるマウスの視覚弁別学習と逆転学習への影響とその神経メカニズムの解明, BPCNPNPPP4学会合同年会, 2022 BibTeX
  11. 11. *内田 裕輝, 疋田 貴俊, 本田 学, 山下 祐一, ホメオスタシス空間の歪みとしての精神疾患：うつにおける食行動変化の強化学習モデリング, BPCNPNPPP4学会合同年会, 2022 BibTeX
  12. 12. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, 複数の精神疾患関連遺伝子インポーチンα3欠損による動機づけの上昇とその脳内ネットワーク, BPCNPNPPP4学会合同年会, 2022 BibTeX
  13. 13. *米丸 ひなの, 小澤 貴明, 疋田 貴俊, 新生仔期MK-801投与と発達期社会的孤立がマウスの成体期における衝動性を亢進する, BPCNPNPPP4学会合同年会, 2022 BibTeX
  14. 14. *櫻井 航輝, 宮本 洋一, 森田 真規子, マクファーソン トム, 小澤 貴明, 岡 正啓, 疋田 貴俊, 核輸送因子importinα4/KPNA4ノックアウトマウスにおける疾患様行動異常と炎症, BPCNPNPPP4学会合同年会, 2022 BibTeX
  15. 15. *小口峰樹*, *李楊, *松本良恵, 清成透子, 山本和彦, 杉浦繁貴, 社会的価値志向性とモデルフリー・モデルベース学習：マルコフ型状態遷移課題を用いた検討，, 第25回実験社会科学カンファレンス, 2022 BibTeX
  16. 16. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, インポーチンα3（Kpna3）欠損マウスのスクロース報酬に対する動機づけ上昇とその脳内ネットワーク, 食欲・食嗜好を形成する感覚・内分泌・神経基盤研究会2022, 2022 BibTeX
  17. 17. 三村 喬生*, 自然非言語処理：数理モデルによる霊長類の行動記述, 生理研研究集会「心的状態の理解に向けた行動・生理指標の計測と解析」, 2022 BibTeX
  18. 18. *小口峰樹*, *李楊, *松本良恵, 清成透子, 山本和彦, 杉浦繁貴, 社会的価値志向性とモデルフリー・モデルベース学習：マルコフ型状態遷移課題を用いた検討，, 日本社会心理学会第63回大会, 2022 BibTeX
  19. 19. 谷辺哲史, 渡辺匠, *小口峰樹, 飯島和樹*, 太田紘史, 脳のヒト-動物キメラ化は倫理的懸念を強めるか―生命倫理学的課題に対する判断の実証的検討―, 日本社会心理学会第63回大会, 2022 BibTeX
  20. 20. *Macpherson T, Neural Mechanisms of Reward and Aversion Signaling, 生理学研究所研究会2022『情動の本質を捉える最先端アプローチ』, 2022 BibTeX
  21. 21. 柴田 智弘, *小澤 貴明, 松本 悠真, Macpherson T, 疋田 貴俊, マウスの報酬予測行動における脳内ドーパミン放出動態の解析, 第24回活性アミンに関するワークショップ, 2022 BibTeX
  22. 22. *松本 悠真, 小澤 貴明, 尾山 賀信, 岩本 涼太郎, 柴田 智弘, Macpherson Tom, 疋田 貴俊, 報酬予測中のマウス前頭前皮質におけるドーパミン放出 ダイナミクスの解析, 第24回活性アミンに関するワークショップ, 2022 BibTeX
  23. 23. *小澤 貴明, Neural circuit of salt and umami seeking behavior, 2022年度 日本味と匂学会 第56回大会, 2022 BibTeX
  24. 24. Doya K, 人工知能は脳から何を学べば良いのか, 応用脳科学コンソーシアム, 2022 BibTeX
  25. 25. *Attachaipanich S, Macpherson T, Hikida T, Nucleus accumbens core D1-MSNs microcircuits drive locomotor and reward-related behaviors, Neuro2022, 2022 BibTeX
  26. 26. *青峰良淳, 櫻井航輝, マクファーソン トム, 小澤貴明, 宮本洋一, 米田悦啓, 岡正啓, 疋田貴俊, インポーチンα3欠損マウスの動機づけ異常とその脳内ネットワーク, Neuro2022, 2022 BibTeX
  27. 27. *松本 悠真、小澤 貴明、柴田 智弘、中村 萌、岩本 涼太郎、尾山 賀信、Macpherson Tom、疋田 貴俊, 時間に基づいた報酬予測を制御する脳内ドーパミン放出の解析, Neuro2022, 2022 BibTeX
  28. 28. *小澤 貴明, 中村 萌, 松本 悠真, 柴田 智弘, 岩本 涼太郎, 尾山 賀信, Macpherson T, 疋田 貴俊, 恐怖条件づけ中のマウス脳内ドーパミン動態の解析, Neuro2022, 2022 BibTeX
  29. 29. *柴田 智弘, 小澤 貴明, 松本 悠真, 中村 萌, 岩本 涼太郎, 尾山 義信, Macpherson T, 疋田 貴俊, マウスの報酬予測行動における脳内ドーパミン放出動態の解析, Neuro2022, 2022 BibTeX
  30. 30. *笹岡 俊邦, 齊藤 奈英, 田井中 一貴, マクファーソン トム, 疋田 貴俊, 山口 瞬, 回避記憶の形成と大脳皮質のArcの活性化にはドーパミンD1受容体を介した神経伝達が必要である, Neuro2022, 2022 BibTeX
  31. 31. *疋田貴俊, マクファーソン トム, 行動柔軟性における側坐核の並列神経回路機構, Neuro2022, 2022 BibTeX
  32. 32. *内部英治, モデルベースとモデルフリー強化学習システムの間の非同期競合と協調, Neuro2022, 2022 BibTeX
  33. 33. *Macpherson T, Hikida T, Neural mechanisms of reward and aversive signaling, Neuro2022, 2022 BibTeX
  34. 34. *西岡 忠昭, トム マクファーソン, 濱口 航介, 疋田 貴俊, ネガティブな選択を回避する意思決定の神経機構, Neuro2022, 2022 BibTeX
  35. 35. *櫻井 航輝, 宮本 洋一, 森田 真規子, マクファーソン トム, 小澤 貴明, 岡 正啓, 疋田 貴俊, Importin α4/KPNA4 ノックアウトマウスの行動異常の背景にある分子基盤の探索, Neuro2022, 2022 BibTeX
  36. 36. *Ukyo T. Tazawa, Koyo Kuze, Ayaka Matsumoto, Yu Toyoshima, Suzu Oe, Takayuki Teramoto, Takeshi Ishihara, Yuichi Iino, Analysis of neural activity underlying turning movement by tracking-imaging of freely moving C. elegans., NEURO2022, 2022 BibTeX
  37. 37. *Miyazaki K, Miyazaki KW, Doya K, セロトニンによる報酬待機行動の制御機構, 日本科学振興協会 第1回総会・キックオフミーティング, 2022 BibTeX
  38. 38. *山根広暉, 野口裕貴, 青山裕良, 松嶋達也, 岡田領, Pavel Savkin, 佐野元紀, 松尾豊, 段階的な教示による陳列動作の模倣学習, 人工知能学会全国大会2022, 2022 BibTeX
  39. 39. *佐藤誠人, 海野良介, 古田拓毅, 松嶋達也, 岡田領, Pavel Savkin, 佐野元紀, 松尾豊, 画像のMid-Levelな表現による物体操作の模倣学習手法の検討, 人工知能学会全国大会2022, 2022 BibTeX
  40. 40. *松嶋達也, 有馬純平, 鈴木海渡, 岩澤有祐, 松尾豊, 制御方策の学習アルゴリズムにおける時間の離散化の影響と連続時間への拡張に向けた考察, 人工知能学会全国大会2022, 2022 BibTeX
  41. 41. *山川宏, 布川絢子, 松尾豊, 意識のEntification仮説, 人工知能学会全国大会2022, 2022 BibTeX
  42. 42. Doya K, 人工知能と脳科学, OIST 10th anniversary, 2022 BibTeX
  43. 43. Doya K, 「人工知能美学芸術展：美意識のハードプロブレム」に出展作品についての小講演, 第40回AI美芸研「人工知能美学芸術展：美意識のハードプロブレム」全体報告, 2022 BibTeX
  44. 44. *疋田貴俊, マクファーソン トム, Diverse activity patterns of medium spiny neurons in the nucleus accumbens in reward and aversion, 第95回日本薬理学会年会, 2022 BibTeX
  45. 45. *疋田貴俊, Homeostatic regulation of neural circuit mechanisms in flexible cognitive behavior and psychiatric disorders, 第95回日本薬理学会年会, 2022 BibTeX
  46. 46. 大関洋平, 認知・脳科学から見たNLPの再現性, 言語処理学会 ワークショップ「NLPにおける再現性」, 2022 BibTeX
  47. 47. 三村喬生*, 松本惇平, 持橋大地, 中村友昭, 平林敏行, 樋口真人, 南本敬史, ノンパラメトリックベイズモデルを用いたマーモセットの自由運動における時系列構造解析, 第11回 日本マーモセット研究会大会, 2022 BibTeX
  48. 48. 三村 喬生*, マーモセットの摂餌行動における時系列構造の計算論的解析, 生理研研究集会「行動の多様性を支える神経基盤とその動作様式の解明」, 2022 BibTeX

Book

  1. 1. *叶尤奇, 根橋玲子, 中原裕之, 文化神経科学の視座から見た文化と個人の関係, 「縁側」知の生成にむけて, 明石書店, 2022 BibTeX
  2. 2. 坂上雅道, 脳と心の関係, Newton 脳 大図鑑, Newton PRESS, 2022 BibTeX
  3. 3. 坂上雅道, 世界最先端の研究が教える すごい脳科学, 総合法令出版, 2022 BibTeX

Prize

  1. 1. 青峰 良淳（疋田Lab), インポーチンα3（KPNA３）欠損による報酬に対する動機づけの上昇とその脳内ネットワーク変化, 第114回近畿生理学談話会若手優秀発表賞, 2022 BibTeX
  2. 2. 松本 悠真（疋田Lab), 報酬予測中のマウス前頭前皮質におけるドーパミン放出 ダイナミクスの解析, 第24回活性アミンに関するワークショップ学生最優秀発表賞, 2022 BibTeX
  3. 3. 杉浦伊織（琉球大学修士課程学生）, 伊禮司（琉球大学博士課程学生）,銅谷賢治教授, 倉田耕治（琉球大学教授）、宮田龍太（琉球大学助教）, 2022年度日本神経回路学会最優秀研究賞, 2022 BibTeX
  4. 4. 梶原侑馬(Doya Unit), 2022年度笹川科学研究助成, 2022 BibTeX
  5. 5. 山下陽一郎（大関研究室）, 早押しクイズにおける予測処理：機械の言語処理と人間の言語処理と, 奨励賞, NLP若手の会（YANS）第17回シンポジウム, 2022 BibTeX
  6. 6. 能地宏, 大関洋平, どれほどの統語的教示が必要十分なのか？, 委員特別賞, 言語処理学会 第28回年次大会, 2022 BibTeX

Press Release

  1. 1. Yuichi Iino (Univ Tokyo), 線虫の記憶の全貌：濃さの記憶を担うタンパク質とその情報を読みだす新たな仕組みの発見, 2022, https://www.s.u-tokyo.ac.jp/ja/press/2022/7893/ BibTeX
  2. 2. Hiroaki Gomi (NTT), 世界初、腕運動学習と視線の関わりを解明～視線の向け方を考慮した効率的なスキル獲得への道筋～, exciteニュース, 2022 BibTeX
  3. 3. Hiroaki Gomi (NTT), 世界初、腕運動学習と視線の関わりを解明～視線の向け方を考慮した効率的なスキル獲得への道筋～, 朝日新聞デジタルマガジン, 2022 BibTeX
  4. 4. Hiroaki Gomi (NTT), 腕運動学習と視線の関わりを解明, 日本経済新聞, 2022 BibTeX

Other

  1. 1. Doya,K, Neuromodulation of Inference and Control in the Cortical Circuits, Sydney Neuroimaging Analysis Centre, 2022, online BibTeX
  2. 2. Doya,K, 進化ロボットは行動の目標を見つけられるか：強化学習のその先へ, OIST–経済同友会共催セミナー, 2022, online BibTeX
  3. 3. 坂上雅道, 2つの意思決定回路と報酬の予測, I-URICフロンティアコロキウムとROIS/I-URIC若手研究者クロストークとの合同シンポジウム, 2022, オンライン, 講演 BibTeX
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