PUBLICATIONS
Category
Year

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. *Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi, Automatic Selection of Coordinate Systems for Learning Relative and Absolute Spatial Concepts, Frontiers in Robotics and AI, 2022, 9 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. *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
  23. 23. *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
  24. 24. *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
  25. 25. 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
  26. 26. 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
  27. 27. *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
  28. 28. *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
  29. 29. 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
  30. 30. 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
  31. 31. *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
  32. 32. *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
  33. 33. 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
  34. 34. *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
  35. 35. *Akira Taniguchi, Ayako Fukawa, Hiroshi Yamakawa, Hippocampal formation-inspired probabilistic generative model, Neural Networks, 2022, 151, 317-335, https://doi.org/10.1080/01691864.2022.2029762 BibTeX
  36. 36. 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
  37. 37. *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
  38. 38. *Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura, Akira Taniguchi, A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots, Neural Networks, 2022, 150, 293-312, https://doi.org/10.1016/j.neunet.2022.02.026 BibTeX
  39. 39. 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
  40. 40. *Benucci, A., Motor-related signals support localization invariance for stable visual perception, Plos Comp. Biol., 2022, 18, 3, e1009928, Accepted BibTeX
  41. 41. Hiroyuki Miyawaki, Kenji Mizuseki, De novo inter-regional coactivations of preconfigured local ensembles support memory, Nature Communications, 2022, 13, 1, 1272 BibTeX
  42. 42. *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
  43. 43. *Masahiro Suzuki, Yutaka Matsuo, A survey of multimodal deep generative models, Advanced Robotics, 2022, 36, 261–278, reviewed BibTeX
  44. 44. *Yuki Katsumata, Akinori Kanechika, Akira Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, Map completion from partial observation using the global structure of multiple environmental maps, Advanced Robotics, 2022, 36, 279-290, DOI: 10.1080/01691864.2022.2029762 BibTeX
  45. 45. *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
  46. 46. 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
  47. 47. *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
  48. 48. *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
  49. 49. *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
  50. 50. 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
  51. 51. Rikunari Sagara, *Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi,Koosuke Hattori, Masahiro Hoguro, Taizo Umezaki, Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances, Advanced Robotics, 2022, 36, 1-2, 54-70, reviewed BibTeX
  52. 52. Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda, Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities, Neural Networks, 2022, 145, 356-373, reviewed BibTeX
  53. 53. *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. 田口 亮, 相良 陸成, 曖昧な教示音声を利用した相対的な位置概念の学習, システム制御情報学会誌, 2022, 66, 4, 127-132 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. *田口 亮,相良 陸成, 解説:曖昧な教示音声を利用した相対的な位置概念の学習, システム制御情報学会学会誌「システム/制御/情報」, 2022, 第66巻, 第4号, 127-132 BibTeX
  6. 6. 谷口 彰,エル ハフィ ロトフィ,萩原 良信,谷口 忠大, 記号創発ロボティクスにおける場所概念の形成と応用, システム制御情報学会誌, 2022, 66, 4, 133ー138, 解説記事,「移動ロボットにおける空間認知と空間的意味理解」特集号 BibTeX
  7. 7. *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
  8. 8. 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
  9. 9. *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
  10. 10. *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
  11. 11. *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
  12. 12. *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
  13. 13. *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
  14. 14. *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
  15. 15. 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. Doya K, What is takes to create a humanoid, Humanoids2022, 2022, 沖縄県、日本, Invited Speaker BibTeX
  2. 2. *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
  3. 3. *Lalande F, Doya K, Numerical data imputation: choose kNN over deep learning, SISAP 2022, 2022, Bologna, Italy, Oral Presentation + poster BibTeX
  4. 4. Tadahiro Taniguchi, Metropolis-Hasting naming game for symbol emergence, 3rd SMILES WORKSHOP, satellite ICDL 2022,, 2022, London, UK, oral BibTeX
  5. 5. *Akira Taniguchi, Maoko Muro, Hiroshi Yamakawa, Tadahiro Taniguchi, Brain-inspired probabilistic generative model for double articulation analysis of spoken language, IEEE International Conference on Development and Learning (ICDL 2022), 2022, London, UK BibTeX
  6. 6. Doya K, Data-Driven and Theory-Driven Approaches in Neuroscience, 2nd Taiwan Society for Neuroscience Meeting, 2022, online, Invited Speaker BibTeX
  7. 7. *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
  8. 8. 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
  9. 9. Tadahiro Taniguchi, Consciousness and Symbol Emergence Systems, International Symposium on Artificial Intelligence and Brain Science 2022, 2022, Okinawa, Japan, invited BibTeX
  10. 10. *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
  11. 11. Doya K, Serotonin and model-based decision making, the Reward and Decision-Making meeting, 2022, Lake Arrowhead, USA, Invited Speaker BibTeX
  12. 12. *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
  13. 13. *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
  14. 14. Yohei Oseki, Building machines that process natural language like humans, Rutgers University Colloquium, 2022, Zoom, Online, invited BibTeX
  15. 15. Doya K, Embodied agents for survival, reproduction, and prediction, International Conference on Embodied Intelligence, 2022, online BibTeX
  16. 16. Doya K, Canonical Cortical Circuits and the Duality of Inference and Control, 43rd Annual Meeting, National Institute of Neuroscience, 2022, online, Invited lecture BibTeX
  17. 17. Doya K, Context-dependent interaction of dopamine and serotonin, COSYNE2022 Neuromodulation Workshop, 2022, online, Invited lecture BibTeX
  18. 18. Taira M, Serotonergic Control of Model-based Decision Making, COSYNE2022, 2022, online, Poster presentation BibTeX
  19. 19. *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
  20. 20. Doya K, Neural Circuits for Mental Simulation, 8th Annual Conference of Cognitive Science, 2022, online, Invited lecture BibTeX
  21. 21. *Jing Wang, Lotfi El Hafi, Akira Taniguchi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, Extending HoloGAN by Embedding Image Content into Latent Vectors for Novel View Synthesis, IEEE/SICE International Symposium on System Integration (SII 2022), 2022, Narvik, Norway (Virtual) BibTeX
  22. 22. *Matsumoto H, Pathway-specific signals of midbrain dopamine neurons in reward-based decisions, The NIPS Research Meeting, 2022, invited BibTeX
  23. 23. Yohei Oseki, Human language processing in comparative computational psycholinguistics, Dongguk University Colloquium, 2022, Zoom, Online, invited BibTeX

Domestic Conference

  1. 1. 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
  2. 2. 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
  3. 3. *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
  4. 4. 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
  5. 5. *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
  6. 6. 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
  7. 7. 谷口忠大, マルチモーダルな予測と推論に基づく実世界認知アーキテクチャ: 記号創発ロボティクスから全脳確率的生成モデルまで, 招待講演, OS「認知科学のモデル論―モデルからみる認知の多様性―」, 日本認知科学会第39回大会, 2022 BibTeX
  8. 8. 大橋秀也、岩淵汐音、*松香敏彦, カテゴリー学習における情報希求に関する研究, 日本認知科学会第39回大会, 2022 BibTeX
  9. 9. *徐貺哲, 松香敏彦, 簡易な眼球運動指標による観察者の性格特性の推定, 日本認知科学会第39回大会, 2022 BibTeX
  10. 10. Aikemujiangs Yafeila, *松香敏彦, 広告画像の記憶しやすさが購買意図に及ぼす効果, 日本認知科学会第39回大会, 2022 BibTeX
  11. 11. 谷口忠大, 記号創発ロボティクスとマルチモーダル感覚情報に基づく言語獲得 ~実世界人工知能に学ぶ言葉の意味の構成的理解~, 基調講演,LET 61st Annual Conference #LET61 – 外国語教育メディア学会, 2022 BibTeX
  12. 12. 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
  13. 13. *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
  14. 14. *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
  15. 15. *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
  16. 16. *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
  17. 17. *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
  18. 18. *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
  19. 19. *谷口 忠大,山川宏,長井隆行,銅谷賢治,坂上雅道,鈴木雅大,中村友昭,谷口彰, WB-PGM: 全脳確率的生成モデル: 発達するロボットのための認知アーキテクチャに向けて, 2022年度人工知能学会全国大会(JSAI2022), 2022 BibTeX
  20. 20. *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
  21. 21. Doya K, 人工知能と脳科学, OIST 10th anniversary, 2022 BibTeX
  22. 22. 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
  23. 23. *室茉央子,谷口彰,山川宏,谷口忠大, 音声言語の二重分節解析を担う脳参照アーキテクチャの設計, ニューロコンピューティング研究会 (NC), 2022 BibTeX
  24. 24. 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
  25. 25. 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
  26. 26. 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
  4. 4. *谷口忠大, 6章「記号創発ロボティクス」, 認知科学講座4 心をとらえるフレームワークの展開, 2022 BibTeX
  5. 5. *谷口忠大, 僕とアリスの夏物語 人工知能の,その先へ, 2022 BibTeX
  6. 6. *岩橋直人, 人工知能, 人間の許容・適応限界事典, 2022, 2022 BibTeX

Prize

  1. 1. 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
  2. 2. OIT-RITS, RoboCup Japan Open 2021 @Home DSPL Technical Challenge 準優勝, ロボカップ日本委員会, 2022 BibTeX
  3. 3. 梶原侑馬(Doya Unit), 2022年度笹川科学研究助成, 2022 BibTeX
  4. 4. 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
  5. 5. 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. Tadahiro Taniguchi, 結局、AIってなんなの?『地球外少年少女』磯光雄監督×AI研究者・谷口忠大教授対談, Business Insider Japan, 2022, https://www.dropbox.com/s/vmko75am2edes6d/20221129%E3%80%8E%E5%9C%B0%E7%90%83%E5%A4%96%E5%B0%91%E5%B9%B4%E5%B0%91%E5%A5%B3%E3%80%8F%E7%A3%AF%E5%85%89%E9%9B%84%E7%9B%A3%E7%9D%A3%C3%97AI%E7%A0%94%E7%A9%B6%E8%80%85%E3%83%BB%E8%B0%B7%E5%8F%A3%E5%BF%A0%E5%A4%A7%E6%95%99%E6%8E%88%E5%AF%BE%E8%AB%87%20_%20Business%20Insider%20Japan.pdf?dl=0 BibTeX
  2. 2. 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
  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~, exciteニュース, 2022 BibTeX
  4. 4. 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
  5. 5. 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. Tadahiro Taniguchi, Constructive Approach to the Interaction between Symbol Emergence and Qualia Structure, Qualia Structure, Grant Final Meeting, 2022, Invited Talk BibTeX
  2. 2. 谷口忠大, 記号創発ロボティクスから実世界言語理解知能への展望, 第60回AIセミナー「言語を用いて経験を共有可能なロボットの実現を目指して 」人工知能研究センター, 2022, 招待講演 BibTeX
  3. 3. 谷口忠大, コミュニケーション場のメカニズムデザイン ~自律分散的な主体の「目に見えない環境」を設計する~, コミュニケーション学会関西支部大会, 2022, 招待講演 BibTeX
  4. 4. 谷口忠大, マルチモーダルな予測に基づく発達的な統合認知システムに向けて ~世界モデルから記号創発システムまで~, シンギュラリティサロン, 2022, 招待講演 BibTeX
  5. 5. 谷口忠大, 全脳確率的生成モデル(WB-PGM):世界モデルと推論に基づく汎用人工知能に向けて, 第7回全脳アーキテクチャ・シンポジウム, 2022, 招待講演 BibTeX
  6. 6. 谷口彰, 確率的生成モデルに基づくロボットの場所概念形成と語彙獲得, 第8回 Language and Robotics研究会, 2022, Invited Talk BibTeX
  7. 7. 谷口忠大, 潜在構造発見の自律ロボットに向けた融合AI, AI・人工知能EXPO【春】アカデミック フォーラム, 2022, 一般向け講演会・セミナー BibTeX
  8. 8. 谷口忠大, 記号創発ロボティクスと心の哲学 ~人工知能と人間による意味理解を問い直す~, 「人と情報テクノロジーの共生のための人工知能の哲学2.0の構築」 総括シンポジウム @Online, 2022, Invited Talk BibTeX
  9. 9. Tadahiro Taniguchi, Symbol Emergence in Robotics and Collective Predictive Coding Hypothesis, 科研費学術変革領域研究(B)クオリア構造と情報構造の関係性理解, Qualia Structure Seminar, 2022, Invited Talk BibTeX
  10. 10. Doya,K, Neuromodulation of Inference and Control in the Cortical Circuits, Sydney Neuroimaging Analysis Centre, 2022, online BibTeX
  11. 11. 谷口彰, 海馬体に整合的な確率的生成モデルの構築, ニューロコンピューティング研究会, 2022, Invited Talk BibTeX
  12. 12. 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
  13. 13. 谷口忠大, 記号創発ロボティクスと統合的認知アーキテクチャ 人と環境との相互作用に基づく自律的な発達知能創成, 「現実空間を認識し、臨機応変に対応できるロボットの実現に向けて」 JST-CRDSワークショップ, 2022, Invited Talk BibTeX
  14. 14. 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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