PUBLICATIONS
Category
Year

International Journal Paper

  1. 1. Makino Y, Polygalov D, Bolaños F, Benucci A, *McHugh T.J., Physiological Signature of Memory Age in the Prefrontal-Hippocampal Circuit, Cell Rep., 2019, 29, 12, 3835-3846.e5, reviewed BibTeX
  2. 2. Kikuta S, Iguchi Y, Kakizaki T, Kobayashi K, Yanagawa Y, Takada M, Osanai M., Store-operated calcium channels are involved in spontaneous slow calcium oscillations in striatal neurons, Frontiers in Cellular Neuroscience-Cellular Neurophysiology, 2019, 13, 547, 9-Jan, reviewed BibTeX
  3. 3. Li G, Hashimoto T, Konno T, Okuda J, Samejima K, Fujiwara M, Morita J, The Mirroring of Symbols: An EEG Study on the Role of Mirroring in the Formation of Symbolic Communication Systems, Letters on Evolutionary Behavioral Science, 2019, 10, 2, 7-10, reviewed& BibTeX
  4. 4. Ohnishi S, *Uchibe E, Yamaguchi Y, Nakanishi K, Yasui Y, Ishii S, Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning, Frontiers in Neurorobotics, 2019, 13, 103, reviewed BibTeX
  5. 5. *Yuma Kajihara, Takashi Ikegami and Kenji Doya, Model-based empowerment computation for dynamical agents, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019, 1, 255-261, reviewed BibTeX
  6. 6. *Atsushi Masumori, Lana Sinapayen, Takashi Ikegami, Predictive Coding as Stimulus Avoidance in Spiking Neural Networks, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2019, 1, 271-277, reviewed BibTeX
  7. 7. *Matsuka Toshihiko, Kawabata Yoshiko, Xu Kuangzhe, Effect of incomplete memorization in a computational model of human cognition, Neural Information Processing, Communication in Computer and Information Science, 2019, 1142, 548-556, reviewed BibTeX
  8. 8. *Ninomiya T, Inoue K, Hoshi E, Takada M, Layer specificity of inputs from supplementary motor area and dorsal premotor cortex to primary motor cortex in macaque monkeys., Sci Rep, 2019, 9, 18230, reviewed BibTeX
  9. 9. *Ninomiya T, Inoue K, Hoshi E, Takada M, Layer specificity of inputs from supplementary motor area and dorsal premotor cortex to primary motor cortex in macaque monkeys., Sci Rep, 2019, 9, 18230, reviewed BibTeX
  10. 10. *Fujino J, Tei S, Itahashi T, Aoki YY, Ohta H, Kubota M, Hashimoto RI, Takahashi H, Kato N, Nakamura M., Role of the right temporoparietal junction in intergroup bias in trust decisions., Hum Brain Mapp, 2019, 41, 1677-1688, reviewed& BibTeX
  11. 11. Nonomura S, Samejima K, Neuronal representation of object choice in the striatum of the monkey, Frontiers in Neuroscience, 2019, 13, 1283, reviewed& BibTeX
  12. 12. Tsurumi K, Aso T, Kawada R, Murai T, *Takahashi H., A positive shift in resting-state functional connectivity between the insula and default mode network regions reflects the duration of illness in gambling disorder patients without lifetime substance abuse, Psychiatry Res Neuroimaging., 2019, 295, 111018, reviewed& BibTeX
  13. 13. *Doya K, Taniguchi T, Toward evolutionary and developmental intelligence, Current Opinion in Behavioral Sciences, 2019, 29, 91-96, reviewed BibTeX
  14. 14. *Parmas P, Sugiyama M, A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme., arXiv., 2019, n/a, 1910.06419 BibTeX
  15. 15. *Koji Ishihara, Takeshi D. Itoh, Jun Morimoto, Full-body optimal control toward versatile and agile behaviors in a humanoid robot, IEEE Robotics and Automation Letters, 2019, 5, 1, 119-126, reviewed& BibTeX
  16. 16. Ishikawa T+, Matsumoto H+, *Miura K, Identification of midbrain dopamine neurons using features from spontaneous spike activity patterns., IEEE Engineering in Medicine and Biology Society, 2019, 2019, 2990-2993, reviewed BibTeX
  17. 17. *Matthew Ishige, Takuya Umedachi, Tadahiro Taniguchi, and Yoshihiro Kawahara, Exploring Behaviors of Caterpillar-Like Soft Robots with a Central Pattern Generator-Based Controller and Reinforcement Learning, Soft Robotics, 2019, 6, 5, reviewed BibTeX
  18. 18. Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond & Shigeru Shinomoto, Reconstructing neuronal circuitry from parallel spike trains, Nature Communications, 2019, 10, 4468, reviewed# & BibTeX
  19. 19. Ryo Nakashima, Ryo Ozaki, *Tadahiro Taniguchi, Unsupervised phoneme and word discovery from multiple speakers using double articulation analyzer and neural network with parametric bias, Frontiers in Robotics and AI, 2019, 6, 92, reviewed BibTeX
  20. 20. Fujino J, Tei S, Itahashi T, Aoki YY, Ohta H, Kubota M, Hashimoto RI, Nakamura M, Kato N, Takahashi H., Impact of past experiences on decision-making in autism spectrum disorder, Eur Arch Psychiatry Clin Neurosc, 2019, 270, 1063-1071, reviewed BibTeX
  21. 21. Shinya Takamuku, Hiroaki Gomi, Better grip force control by attending to the controlled object: Evidence for direct force estimation from visual motion, Scientific Reports , 2019, 9, 13114, open access: https://doi.org/10.1038/s41598-019-49359-8 BibTeX
  22. 22. Raman Rajani, *Hosoya Haruo, Does CNN explain tuning properties of macaque face-processing system?, proc of Conference on Cognitive Computational Neuroscience, 2019, reviewed& BibTeX
  23. 23. *Haruo HOSOYA, A deep generative model explaining tuning properties of monkey face processing patches, proc of Conference on Cognitive Computational Neuroscience, 2019, reviewed& BibTeX
  24. 24. Jang, M.S., Toyoshima, Y., Tomioka, M., Kunitomo, H., and *Iino, Y., Multiple sensory neurons mediate starvation-dependent aversive navigation in Caenorhabditis elegans., Proc Natl Acad Sci U S A, 2019, 116, 37, 18673-18683, reviewed BibTeX
  25. 25. Ueda H, Abekawa N, Ito S, Gomi H, Distinct temporal developments of visual motion and position representations for multi-stream visuomotor coordination, Scientific Reports , 2019, 9, 12104, open access: https://doi.org/10.1038/s41598-019-48535-0 BibTeX
  26. 26. *Tatsuya Haga and *Tomoki Fukai, Extended temporal association memory by modulations of inhibitory circuits., Physical Review Letters, 2019, 123, 78101, reviewed BibTeX
  27. 27. Haga T, Fukai T, Extended temporal association memory by modulations of inhibitory circuits, Phys Rev Lett, 2019, 123, 078101, reviewed# BibTeX
  28. 28. Shingo Tanaka, John P. O’Doherty & Masamichi Sakagami, The cost of obtaining rewards enhances the reward prediction error signal of midbrain dopamine neurons, Nature Communications, 2019, 10, 3674, reviewed&# BibTeX
  29. 29. *Haruo HOSOYA, Group-based learning of disentangled representations with generalizability for novel contents, Proc of 28th International Joint Conference on Artificial Intelligence, 2019, reviewed& BibTeX
  30. 30. *Yohei Oseki, Yasutada Sudo, Hiromu Sakai, Alec Marantz, Inverting and modeling morphological inflection, Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology (SIGMORPHON), 2019, Long Paper, 170-177, reviewed& BibTeX
  31. 31. Nagashima, T., Iino, Y., and *Tomioka, M., DAF-16/FOXO promotes taste avoidance learning independently of axonal insulin-like signaling., PLoS Genet, 2019, 15, 7, e1008297, reviewed BibTeX
  32. 32. *Takagi Y, Hirayama J, Tanaka S, State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits, NeuroImage, 2019, 201, 116036, reviewed& BibTeX
  33. 33. Koki Mimura, Tomofumi Oga, Tetsuya Sasaki, Keiko Nakagaki, Chika Sato, Kayo Sumida, Kohei Hoshino, Koichi Saito, Izuru Miyawaki, Tetsuya Suhara, Ichio Aoki, Takafumi Minamimoto*, Noritaka Ichinohe*, Abnormal axon guidance signals and reduced interhemispheric connection via anterior commissure in neonates of marmoset ASD model, Neuro Image, 2019, 195, 243-251, reviewed& BibTeX
  34. 34. Wataru Shimoda* and Keiji Yanai, Webly-Supervised Food Detection with Foodness Proposal, IEICE Transactions on Information and Systems, 2019, E103-D, 7, 1230-1239, reviewed BibTeX
  35. 35. Takumi Ege* and Keiji Yanai, Simultaneous Estimation of Dish Locations and Calories with Multi-task Learning, IEICE Transactions on Information and Systems, 2019, E102-D, 7, 1240-1246, reviewed BibTeX
  36. 36. Qing Wang, Pedro Antonio Valdés-Hernández, Deirel Paz-Linares, Jorge Bosch-Bayard, Naoya Oosugi, Misako Komatsu, Naotaka Fujii, Pedro Antonio Valdés-Sosa, EECoG-Comp: An Open Source Platform for Concurrent EEG/ECoG Comparisons—Applications to Connectivity Studies, Brain topography, 2019, 32, 4, 550-568, reviewed BibTeX
  37. 37. Fukuda H+, Ma N+, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Computing Social Value Conversion in the Human Brain, The Journal of Neuroscience, 2019, 39, 26, 5153-5172, reviewed BibTeX
  38. 38. *T. Taniguchi, D. Mochihashi, T. Nagai, S. Uchida, N. Inoue, I. Kobayashi, T. Nakamura, Y. Hagiwara, N. Iwahashi & T. Inamura, Survey on frontiers of language and robotics, Advanced Robotics, 2019, 33, 15-16, 700-730, reviewed BibTeX
  39. 39. *Kozuno T, Han D, Doya K, Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning., arXiv, 2019, n/a, 1906.07586. BibTeX
  40. 40. *Yohei Oseki, Charles Yang, Alec Marantz, Modeling hierarchical syntactic structures in morphological processing, Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL), 2019, Long Paper, 43-52, reviewed& BibTeX
  41. 41. *Masashi Hamaya, Takamitsu Matsubara, Tatsuya Teremae, Tomoyuki Noda, Jun Morimoto, Design of physical user-robot interactions for model identification of soft actuators on exoskeleton robots, International Journal of Robotics Research, 2019, 1-14, reviewed BibTeX
  42. 42. Kawai T, Yamada H, Sato N, Takada M, *Matsumoto M, Preferential representation of past outcome information and future choice behavior by putative inhibitory interneurons rather than putative pyramidal neurons in the primate dorsal anterior cingulate cortex, Cerebral Cortex, 2019, 29, 2339-2352, reviewed BibTeX
  43. 43. *Keita Watanabe, Tatsuya Haga, Masami Tatsuno, David R Euston and *Tomoki Fukai, Unsupervised detection of cell-assembly sequences by similarity-based clustering., Frontiers in Neuroinformatics, 2019, 13, 39, reviewed BibTeX
  44. 44. *Watanabe K, Haga T, Tatsuno M, Euston D.R, *Fukai T, Unsupervised detection of cell-assembly sequences by similarity-based clustering, Front Neuroinform, 2019, 13, 1-19, reviewed# BibTeX
  45. 45. *Kenji Doya, Tadahiro Taniguchi, Toward evolutionary and developmental intelligence, Current Opinion in Behavioral Sciences, 2019, 29, 91-96, reviewed& BibTeX
  46. 46. *Tadej Petric, Luka Peternel, Jun Morimoto, Jan Babic, Assistive arm-exoskeleton control based on human muscular manipulability, Frontiers in Neurorobotics, 2019, 13, 30, reviewed BibTeX
  47. 47. *Yuki Katsumata, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, Semantic mapping based on spatial concepts for grounding words related to places in daily environments, Frontiers in Robotics and AI, 2019, 6, 31, 1-31, reviewed BibTeX
  48. 48. Tei S, Fujino J, Itahashi T, Aoki Y, Ohta H, Kubota M, Hashimoto RI, Nakamura M, Kato N, *Takahashi H., Egocentric biases and atypical generosity in autistic individuals., Autism Res, 2019, 12, 1598-1608, reviewed BibTeX
  49. 49. *Barkan Ugurlu, Paolo Forni, Corinne Doppmann, Emre Sariyiliz, Jun Morimoto, Stable control of force, position, and stiffness for robot joints powered via pneumatic muscles, IEEE Transactions on Industrial Informatics, 2019, 15, 12, 6270-6279, reviewed BibTeX
  50. 50. Fukazawa Y, Ito T, Okimura T, Yamashita Y, Maeda T,* Ota J, Predicting anxiety state using smartphone-based passive sensing, Journal of Biomedical Informatics, 2019, 93, 103151~103151, reviewed& BibTeX
  51. 51. Haruaki Fukuda, Ning Ma, Shinsuke Suzuki, Norihiro Harasawa, Kenichi Ueno, Justin L Gardner, Noritaka Ichinohe, Masahiko Haruno, Kang Cheng, *Hiroyuki Nakahara, Computing Social Value Conversion in the Human Brain, Journal of Neuroscience, 2019, 39, 5153-5172, reviewed BibTeX
  52. 52. *Kozuno T, Uchibe E, Doya K, Theoretical analysis of efficiency and robustness of softmax and gap-increasing operators in reinforcement learning, Proceedings of Machine Learning Research (PMLR), 2019, 89, 2995-3003, reviewed BibTeX
  53. 53. Lyamzin D, *Benucci A, The mouse posterior parietal cortex: Anatomy and functions, Neurosci. Res., 2019, 140, 14-22, reviewed BibTeX
  54. 54. Kiyohiko Nakamura, Misako Komatsu, Information seeking mechanism of neural populations in the lateral prefrontal cortex, Brain research, 2019, 1707, 79-89, reviewed BibTeX
  55. 55. Kahori Kita, Rieko Osu, Chihiro Hosoda, Manabu Honda, Takashi Hanakawa, *Jun Izawa, Frontiers in Behavioral Neuroscience, 2019, 13, 28, reviewed BibTeX
  56. 56. *Otto E Rossler, Lisa-Ruth Vial, Frank Kuske, August Nitschke, Takashi Ikegami, Andrei Ujica, Brain Equation and Personogenesis, Clinics in Pediatrics, 2019, 2, 1-11, reviewed BibTeX
  57. 57. *Misako Komatsu, Takaaki Kaneko, Hideyuki Okano, Noritaka Ichinohe, Chronic Implantation of Whole-cortical Electrocorticographic Array in the Common Marmoset., Journal of visualized experiments: JoVE, 2019, 144, reviewed BibTeX
  58. 58. *Andrea M. F. Reiter, Shinsuke Suzuki, John P. O’Doherty, Shu-Chen Li, Ben Eppinger, Risk contagion by peers affects learning and decision-making in adolescents, Journal of Experimental Psychology: General, 2019, 148, 1494-1504, reviewed& BibTeX
  59. 59. *Mansouri FA, Buckley MJ, Fehring DJ, Tanaka K, The role of primate prefrontal cortex in bias and shift between visual dimensions, Cerebral Cortex, 2019, 30, 1, 85-99, reviewed BibTeX
  60. 60. Nomura H, Mizuta H, Norimoto H, Masuda F, Miura Y, Kubo A, Kojima H, Ashizuka A, Matsukawa N, Baraki Z, Hitora-Imamura N, Nakayama D, Ishikawa T, Okada M, Orita K, Saito R, Yamauchi N, Sano Y, Kusuhara H, Minami M, *Takahashi H, Ikegaya Y., Central Histamine Boosts Perirhinal Cortex Activity and Restores Forgotten Object Memories, Biol Psychiatry, 2019, 86, 230-239, reviewed& BibTeX
  61. 61. Fung CCA, Fukai T, Discrete-attractor-like tracking in continuous attractor neural networks, Phys Rev Lett, 2019, 122, 18102, reviewed BibTeX
  62. 62. Decostanzo A.J , Fung CCA, Fukai T, Hippocampal neurogenesis reduces the dimensionality of sparsely coded representations to enhance memory encoding, Front Comput Neurosci , 2019, 12, 99, 1-21, reviewed BibTeX
  63. 63. *Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Oztop, Justus Piater, Florentin Wörgötter, Symbol emergence in cognitive developmental systems: a survey, IEEE Transactions on Cognitive and Developmental Systems, 2019, 11, 4, 494-516, reviewed BibTeX
  64. 64. Fujino J, Tei S, Itahashi T, Aoki Y, Ohta H, Kanai C, Kubota M, Hashimoto RI, Nakamura M, Kato N, *Takahashi H., Sunk Cost Effect in Individuals with Autism Spectrum Disorder., J Autism Dev Disord, 2019, 49, 1~10, reviewed& BibTeX
  65. 65. Andrés Canales-Johnson, Ana Filipa Teixeira Borges, Misako Komatsu, Naotaka Fujii, Johannes Jacobus Fahrenfort, Kai Joshua Miller, Valdas Noreika, Broadband Signal Rather than Frequency-Specific Rhythms Underlies Prediction Error in the Primate Auditory Cortex, BioRxiv, 2019, 821942 BibTeX
  66. 66. *Peter Bossaerts, Shinsuke Suzuki, John P. O’Doherty, Perception of Intentionality in Investor Attitudes Towards Financial Risks, Journal of Behavioral and Experimental Finance, 2019, 23, 189-197, reviewed& BibTeX

Domestic Journal Paper

  1. 1. 遠藤 瑛泰,永田 賢二,木戸 尚治,*庄野 逸, Bolassoを用いたびまん性肺疾患画像の特徴選択, 情報処理学会論文誌 数理モデル化と応用, 2019, 12, 3, 68-77, reviewed& BibTeX
  2. 2. *田中啓治, 行動認知制御の神経科学:前頭前野内の機能分化, Brain and Nerve, 2019, 71, 12, 1375-1371, invited BibTeX
  3. 3. 奥村 直裕,*庄野 逸, TV正則化と辞書学習を用いたOS-EM法におけるPET画像再構成, 2019, 37, 5, 217-229, reviewed& BibTeX
  4. 4. *庄野 逸, AIの歴史とこれから, 臨床画像, 2019, 35, 10, 1112-1119, invited& BibTeX
  5. 5. *Haga T, *Fukai T, Extended temporal association memory by modulations of inhibitory circuits., Physical Review Letters, 2019, 123, 78101, reviewed BibTeX
  6. 6. 川島 貴大,*庄野 逸, ベイズ的変数選択に基づく分光スペクトル分解, 情報処理学会論文誌 数理モデル化と応用, 2019, 12, 2, 34-43, reviewed& BibTeX
  7. 7. *銅谷賢治、松尾豊, 人工知能と脳科学の現在とこれから, BRAIN and NERVE 増大特集 人工知能と神経科学, 2019, 71(7), 649-655, & BibTeX
  8. 8. *沖村 宰、片平健太郎、国里愛彦、山下祐一, 統合失調症のコンピュータシミュレーション, Brain and Nerve, 2019, 71, 771-783, invited& BibTeX
  9. 9. *Watanabe K, Haga T, Tatsuno M, Euston D.R, *Fukai T, Unsupervised detection of cell-assembly sequences by similarity-based clustering., Frontiers in Neuroinformatics, 2019, 13, 39, reviewed BibTeX
  10. 10. *久保静真, 岩澤有祐, 鈴木雅大, 松尾豊, 服の領域を考慮した写真上の人物の自動着せ替えに関する研究, 情報処理学会論文誌, 2019, 60, 3, 870-879, reviewed BibTeX
  11. 11. *久保 孝富, 幾谷 吉晴, 人の知性を司る脳,その模倣としての機械学習, システム/制御/情報, 2019, 63, 3, 124-129, reviewed BibTeX
  12. 12. *山下祐一, 計算論的精神医学:脳の数理モデルを用いて精神疾患の病態に迫る, 生物学的精神医学誌, 2019, 30, 3, 114-116, invited& BibTeX
  13. 13. *国里 愛彦, 片平健太郎, 沖村 宰, 山下 祐一, うつに対する計算論的アプローチ ―強化学習モデルの観点から―, Japanese Psychological Review, 2019, 62, 88-103, reviewed& BibTeX

International Conference

  1. 1. Tomoki Fukai, Cognition through neural circuit dynamics, Toyama Forum for Academic Summit on “Dynamic Brain”, 2019, Toyama, Japan, oral, invited BibTeX
  2. 2. Tomoki Fukai, Cognition through neural circuit dynamics, Toyama Forum for Academic Summit on “Dynamic Brain”, 2019, Toyama, Japan, oral, invited BibTeX
  3. 3. Parmas P, Sugiyama M, A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme, Deep Reinforcement Learning Workshop, NeurIPS, 2019, Vancouver, CANADA, oral BibTeX
  4. 4. Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda, Towards generation of visual attention map for source code, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) Workshop of Context and Compositionality in Biological and Artificial Neural Systems, 2019, Vancouver, Canada, reviewed BibTeX
  5. 5. Terada H+, *Shouno H, B-DCGAN: Evaluation of Binarized DCGAN for FPGA, The 26th International Conference on Neural Information Processing (ICONIP2019), 2019, 2, Sydney, Australia, reviewed, oral BibTeX
  6. 6. *Tamano R, Ogawa T, Hiroe N, Hirayama J, Kawanabe M, Predicting schizophrenia-related functional connectivity from EEG using SPLICE filter: a statistical analysis with resting-state EEG-fMRI data, Real-time Functional Imaging and Neurofeedback Conference (rtFIN2019), 2019, Maastricht, the Netherlands, reviewed poster BibTeX
  7. 7. *Yuma Kajihara, Takashi Ikegami, Kenji Doya, Model-based empowerment computation for dynamical agents, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019, Xiamen, China, poster BibTeX
  8. 8. *Atsushi Masumori, Lana Sinapayen, Takashi Ikegami, Predictive Coding as Stimulus Avoidance in Spiking Neural Networks, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019, Xiamen, China, oral BibTeX
  9. 9. Osanai M, Ohkawa N, Iguchi Y, Yokose J, Nakayama S, Inokuchi K, Kobayashi K, Haga Y, Mushiake, H, Development and application of the multimodal ultra-thin endoscope for analyzing neuronal circuits in the deep brain region, Neural Oscillation Conference 2019 (2019/11/17-19), 2019, Shirankaikan, Kyoto, Japan, poster BibTeX
  10. 10. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, Personalized Value: Interdisciplinary Approach, 2019, Kyoto, Japan, invited BibTeX
  11. 11. Morioka H, Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning, Brainstorming on Primate Connectome 2019, 2019, Invited, oral BibTeX
  12. 12. *Masayuki Matsumoto, Value-to-choice signal transformation in midbrain dopamine neurons and orbitofrontal neurons during economic decision-making in monkeys, Fourth Quadrennial Meeting on OFC Function, 2019, Paris, France, invited BibTeX
  13. 13. Doya K, Patience, Confidence and Serotonin, Blue Brain Seminar, 2019, Genova, ITARY, invited BibTeX
  14. 14. Tadahiro Taniguchi, Symbol emergence in robotics: towards developmental artificial embodied intelligence, NII Shonan Meetings on “From natural to artificial embodied intelligence: is Deep Learning the solution”, 2019, Kanagawa, Japan, invited BibTeX
  15. 15. Doya K, What Can We Further Learn from the Brain for Cognitive Robotics?, IROS 2019 Workshop: Deep Probabilistic Generative Models for Cognitive Architecture in Robotics, 2019, 2019/11/4-11/8, MACAU, CHINA, oral BibTeX
  16. 16. *Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo, Measuring Task Uncertainty in Meta-Imitation Learning, Proceedings of the workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics at IROS2019, 2019, Maca, China, reviewed BibTeX
  17. 17. Doya K, Systems Biology of Reinforcement Learning, International Conference on Systems Biology (ICSB 2019), 2019, 2019/11/1-11/5, OIST, Plenary speaker BibTeX
  18. 18. Yu Toyoshima, Stephen Wu, Manami Kanamori, Hirofumi Sato, Moon Sun Jang, Yuko Murakami, Suzu Oe, Terumasa Tokunaga, Osamu Hirose, Sayuri Kuge, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida, Takeshi Ishihara, Yuichi Iino, A pipeline of bio-image informatics for whole-brain imaging of C. elegans and analysis of the neural activity, The 20th International Conference of Systems Biology, 2019, Onna, Okinawa, Japan, poster BibTeX
  19. 19. Yuki Katsumata, Lotfi El Hafi, Akira Taniguchi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, Integrating Simultaneous Localization and Mapping with Map Completion Using Generative Adversarial Networks, IROS 2019 Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics, 2019, Las Vegas, USA (virtual), reviewed BibTeX
  20. 20. Doya K, Reinforcement Learning in Machines and the Brain, Conference on Robot Learning (CoRL 2019), 2019, 2019/10/30-11/1, Osaka, JAPAN, invited(Keynote) BibTeX
  21. 21. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neuro – computational process for deciding with predicting others’ decision, The 49th Annual Meeting of the Society for Neuroscience (sfn 2019), 2019, Chicago, USA, poster BibTeX
  22. 22. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Keiko Moriya-Ito, Shigeki Kato, Kazuto Kobayashi, Masamichi Sakagami, Chemogenetic Inactivation Using Double Virus Vector Infection Reveals the Inhibitory Function of the Prefronto-striatal Pathway in the Macaque Brain, Annual meeting of the Society for Neuroscience 2019 (SfN2019), 2019, Chicago, America, poster BibTeX
  23. 23. *Tatsuya Haga, Tomoki Fukai, Extended associative memory by inhibitory modulation, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  24. 24. *Tatsuya Haga, Tomoki Fukai, Extended associative memory by inhibitory modulation, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  25. 25. *Nobuhiko Wagatsuma, Sou Nobukawa, Tomoki Fukai, Top-down modulations of bottom-up signal processing in a microcircuit model involving PV, SOM and VIP inhibitory interneurons, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  26. 26. *Nobuhiko Wagatsuma, Sou Nobukawa, Tomoki Fukai, Top-down modulations of bottom-up signal processing in a microcircuit model involving PV, SOM and VIP inhibitory interneurons, Neuroscience 2019 (SfN’s 49th annual meeting), 2019, Chicago, USA, poster BibTeX
  27. 27. Kimura K, Nagai Y, Tanabe S, Zheng A, Fujiwara M, Nakano M, Minamimoto T, Inoue K, Takada M, The modified adeno associated virus vectors enable neuron specific efficient gene transduction in the primate brain, Neuroscience 2019, 2019, Chicago, USA, poster BibTeX
  28. 28. K. Taneko, M. Komatsu, N. Ichinohe, H. Okano, Cerebral information dynamics from visual input to motor output with a whole-hemisphere electrocorticography (ECoG), Neuroscience 2019, 2019, Chicago, USA, poster BibTeX
  29. 29. *Abekawa N, Gomi H, Learning and retrieving motor memories depending on gaze-reach coordination., Neuroscience2019 (SfN2019), 2019, Chicago, poster BibTeX
  30. 30. *Gomi H, Nakamura D, Synthetic modeling of human visual motion analysis for generating quick ocular and manual responses., Neuroscience2019 (SfN2019), 2019, Chicago, poster BibTeX
  31. 31. *Ito S, Gomi H, Online modulation of proprioceptive reflex gain depending on uncertainty in multisensory state estimation., Neuroscience2019 (SfN2019), 2019, Chicago, poster BibTeX
  32. 32. *Ueda H, Abekawa N, Ito S, Gomi H, Distinct temporal frequency-dependent modulations of direct and indirect visual motion effects on reaching adjustments., Neuroscience2019 (SfN2019), 2019, Chicago, poster BibTeX
  33. 33. Mengxi Yun, Takashi Kawai, Masafumi Nejime, Hiroshi Yamada, *Masayuki Matsumto, Signal dynamics corresponding to value-to-choice transformation in midbrain dopamine neurons and orbitofrontal neurons during economic decision-making in monkeys, Society for Neuroscience, 2019, Chicago, USA, poster BibTeX
  34. 34. ABDOLRAHMANI M, + LYAMZIN D. R., AOKI R * BENUCCI A, Cognitive modulation of interacting corollary discharges in the visual cortex, Neuroscience 2019, 2019, Chicago, Poster presentations BibTeX
  35. 35. Orlandi J.G, Abdolrahmani M, Aoki R, Lyamzin D.R, *Benucci A, Revealing causal and non-causal network interactions during perceptual decision making from wide-field cortical imaging in mice, Neuroscience 2019, 2019, Chicago, Poster presentations BibTeX
  36. 36. M. Komatsu, T. Yamada, T. Kaneko, H. Okano, T. Yamamori, N. Ichinohe, Y. Yamashita, Resting state networks on electrocorticograms reveal global and local cortical functional structures, Neuroscience 2019, 2019, Chicago, USA, nano symposium BibTeX
  37. 37. *Miyawaki H, Mizuseki K, Evolution of fear memory representation in local and global circuits., The Annual Meeting of the Society for Neuroscience, 2019, Chicago, USA, poster BibTeX
  38. 38. K. Mimura, J. Matsumoto, C. Sato, K. Kimura, Y. Hori, Y. Nagai, KI. Inoue, I. Aoki, H. Nishijo, T. Suhara, M. Takada, N. Yahata, T. Minamimoto, A chemogenetic toolbox with multimodal imaging and motion tracking for free marmoset behavior, 2019 Marmoset Bioscience symposium, 2019, Chicago, US, reviewed / poster BibTeX
  39. 39. *Komatsu M, Yamada T, Kaneko T, Okano H, Yamamori T, Ichinohe N, Yamashita Y, Resting state networks on electrocorticograms reveal global and local cortical functional structures, 49h Annual Meeting of Society for Neuroscience, 2019, Chicago, USA, oral BibTeX
  40. 40. *Abekawa N, Ito S, Gomi H, Different learning and generalization for reaching movements in foveal and peripheral vision., Motor Learning and Motor Control 2019 (MLMC 2019), 2019, Chicago, oral BibTeX
  41. 41. Yohei Oseki, Construction and evaluation of neurocomputational models of natural language, Theory towards Brains, Machines and Minds, 2019, Saitama, Japan, invited BibTeX
  42. 42. Iino Y, Molecular and neural network mechanisms for the alteration in taste evaluation of C. elegans, The 48th Naito conference, 2019, Sapporo, Japan, invited oral BibTeX
  43. 43. Hirofumi Kunitomo, Hirofumi Sato, Hinako Mitsui, Yuichi Iino, Molecular and neural mechanisms of salt concentration memory-dependent chemotaxis of Caenorhabditis elegans, The 48th Naito conference, 2019, Sapporo, Japan, poster BibTeX
  44. 44. Masamichi Sakagami, Enhancement of the reward prediction error signal of midbrain dopamine neuron by the cost of obtaining the reward, Society for Neuro Economics, 2019, Dublin, Ireland, poster BibTeX
  45. 45. Murata S, Yanagida H, Katahira K, Suzuki S, *Ogata T, and *Yamashita Y, Large-scale Data Collection for Goal-directed Drawing Task with Self-report Psychiatric Symptom Questionnaires via Crowdsourcing, 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2019, Bari, Italy, reviewed oral BibTeX
  46. 46. *Hirayama J, Interpretable multivariate analysis of individual variability in whole-brain functional connectivity, International Workshop on Neurotechnology & AI, 2019, 東京, invited BibTeX
  47. 47. Masamichi Sakagami, The enhancement of the reward prediction error signal in the midbrain dopamine neuron by the cost paid for the reward, ICCN 2019, 2019, Alghero, Italy BibTeX
  48. 48. *Masayuki Matsumoto, The diversity of dopamine signals in macaque monkeys, German Physiological Society, 2019, Ulm, Germany, invited BibTeX
  49. 49. Masamichi Sakagami, Enhancement of the reward prediction error signal of midbrain dopamine neuron by the cost of obtaining the reward, ICCN 2019, 2019, Alghero, Italy, invited,poster BibTeX
  50. 50. Doya K, Neural Circuits for Reinforcement Learning and Mental Simulation, IBRO 2019 Symposium: Valence and Reward Encoding, 2019, 2019/9/21-9/25, Deagu, KOREA, invited BibTeX
  51. 51. *Li N, Cheng K, Waggoner RA, Tanaka K, Changes in deoxygenation level of bloods and cortical tissues following neuronal activity changes as the bases for intrinsic optical recordings and fMRI, Lateral orbitofrontal cortex is associated with human cognitive dynamics in the congruency sequence effect, 2019, poster BibTeX
  52. 52. *Tanskanen T, Waggoner RA, Ueno K, Cheng K, Tanaka K, Variation of RF-induced temperature increase in a phantom: comparison of numerical simulatitons, MR thermometry and measurements from temperature sensors, Columnar scale representation of faces in the human inferotemporal cortex, 2019, poster BibTeX
  53. 53. *Gupta S, Tanaka K, Waggoner RA, High-resolution fMRI of the visual system at 3T using zoomed excitation via Tx-SENSE, Validation of RF-induced temperature increase in living human tissue, 2019, reviewed poster BibTeX
  54. 54. Takashi Ikegami, Offloaded Agency, SIGEF, 2019, 東京, invited BibTeX
  55. 55. *Benucci A., Attention Demixes the Dynamics of Sensory and Motor Responses in the Mouse Visual cortex, invited talk, International School for Advanced Studies, Trieste, Italy, 2019, Trieste, Invited talk BibTeX
  56. 56. *Gomi H, Abekawa N, Decomposition of manual and ocular following responses into the direct and interaction components., Europian Conference on Visual Perception (ECVP2019), 2019, Leuven, poster BibTeX
  57. 57. Inagaki M, Inoue K, Takada M, Fujita I, Fast subcortical processing of emotional faces: evidence from physiology and anatomy in macaque monkeys, 42nd edition of the European Conference on Visual Perception (ECVP 2019), 2019, Leuven, Belgium, poster BibTeX
  58. 58. Doya K, Neural circuits for mental simulation, International Conference on Cognitive Science (ICCS2019), 2019, 2019/8/22-8/24, Seuol, KOREA, invited BibTeX
  59. 59. Doya K, What can we further learn from the brain for AI and robotics?, Global AI Summit: Cognitive AI: Cognitive AI, 2019, 2019/8/21, Seuol, KOREA, invited BibTeX
  60. 60. Murata S, Hirano K, Higashi N, Kumagaya S, Yamashita Y, and *Ogata T, Analysis of Imitative Interactions between Typically Developed or Autistic Participants and a Robot with a Recurrent Neural Network, The 9th joint IEEE International Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), 2019, Oslo, Norway, reviewed, poster BibTeX
  61. 61. Doya K, Big Data Challenges in Neuroscience, IEEE CIS Summer School: Big Data Analytics and Stream Processing, 2019, 2019/8/10-8/14, Allahabad, INDIA, invited BibTeX
  62. 62. Raman RAJANI, Haruo HOSOYA, Evaluating CNNs as a model of face processing network of the macaque, 第42回日本神経科学大会, 2019, Niigata, reviewed oral BibTeX
  63. 63. Hamaguchi K, *Watanabe D, Neural representation of internal model guided decision making in mouse frontal cortex., The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, Japan, poster BibTeX
  64. 64. Keitaro Obara, Teppei Ebina, Yoshito Masamizu, Shin-Ichiro Terada, Takanori Uka, Misako Komatsu, Noritaka Ichinohe, Akiya Watakabe, Hiroaki Mizukami, Tetsuo Yamamori, Kiyoto Kasai, Masanori Matsuzaki, Calcium imaging of the auditory mismatch negativity (aMMN) responses in common marmosets, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  65. 65. Takaaki Kaneko, Misako Komatsu, Noritaka Ichinohe, Hideyuki Okano, Information dynamics of natural vision investigated by electrocorticographic (ECoG) signal covering the entire hemisphere of a none-human primate, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  66. 66. Onuki, Y., Honda, H., Matsuka, T., & Ueda, K., Shift of probability weighting by joint and separate evaluations: analyses of cognitive processes based on behavioral experiment and cognitive modeling, the 41st Annual Conference of the Cognitive Science Society, 2019, Montreal, Canada, reviewed BibTeX
  67. 67. Masatoshi Yoshida, Takaaki Kaneko, Misako Komatsu, Hideyuki Okano, Noritaka Ichinohe, Visual mismatch negativity measured from whole-cortical electrocorticograhic arrays in common marmosets, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  68. 68. Yuki Nakagami, Akiya Watakabe, Misako Komatsu, Masafumi Takaji, Hiroaki Mizukami, Junichi Hata, Hideyuki Okano, Ken Nakae, Shin Ishii, Noritaka Ichinohe, Tetsuo Yamamori, Local knockdown of CRTC1 gene expression in marmoset V1 triggers epilepsy-like neural activities, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  69. 69. Kawashima T, *Shouno H, Fast Bayesian Restoration of Poisson Corrupted Images with INLA, The 25th Int’l Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA19), 2019, Las Vegas, USA, reviewed, oral BibTeX
  70. 70. Wataru Suzuki, Misako Komatsu, Takaaki Kaneko, Yuri Shinomoto, Hideyuki Okano, Noritaka Ichinohe, Information processing of other’s action in the STS of common marmoset revealed by whole-cortical recordings, The 42nd Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, poster BibTeX
  71. 71. *Miyawaki H, Mizuseki K, Global and local neuronal dynamics underlying fear memory., The Annual Meeting of the Japan Neuroscience Society, 2019, Niigata, Japan, poster BibTeX
  72. 72. Doya K, Possible roles of dopamine in model-free and model-based decision and learning, CNS*2019, Dopaminergic Signaling Workshop, 2019, 2019/7/13-7/16, Barcelona, SPAIN, invited BibTeX
  73. 73. Doya K, Neural Circuits for Mental Simulation, CNS*2019, 28th Annual Computational Neuroscience Meeting, 2019, 2019/7/13-7/16, Barcelona, SPAIN, invited BibTeX
  74. 74. *Waggoner RA, Object recognition in inferotemporal cortex: from visual features to semantics, fMRI Studies of Cortical Columns in Humans, 2019, invited oral BibTeX
  75. 75. Doya K, Ethologically Grounded Motivation and Neural Implementation of Mental Simulation, The 4th International Workshop on Intrinsically Motivated Open-ended Learning (IMOL2019), 2019, 2019/7/1-7/3, Frankfurt, Germany, invited BibTeX
  76. 76. Yu Toyoshima, Stephen Wu, Manami Kanamori, Hirofumi Sato, Moon Sun Jang, Yuko Murakami, Suzu Oe, Terumasa Tokunaga, Osamu Hirose, Sayuri Kuge, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida, Takeshi Ishihara, Yuichi Iino, Bio-image informatics for whole-brain activity imaging of C. elegans, 22th International C. elegans Meeting, 2019, Los Angeles, USA, invited, workshop, oral BibTeX
  77. 77. Moonsun Jang and Yuichi Iino, Two distinct sets of chemosensory neurons involved in food-related navigation., 22th International C. elegans Meeting, 2019, Los Angeles, USA, oral BibTeX
  78. 78. H. Sato, H. Kunitomo, X. Fei, K. Hashimoto, Y. Iino, Neural dynamics for bidirectional regulation of experience-dependent gustatory behavior., 22th International C. elegans Meeting, 2019, Los Angeles, USA, oral BibTeX
  79. 79. Ayaka Matsumoto, Yu Toyoshima, Yuichi Iino, Integration of Detected Salt Concentrations with Motor State Mediated by a Single Interneuron in C. elgans, 22th International C. elegans Meeting, 2019, Los Angeles, USA, poster BibTeX
  80. 80. *Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto, Convolutional encoder-decoder networks for robust image-to-motion prediction, 28th International Conference on Robotics in Alpe-Adria-Danube Region(RAAD2019) (2019/6/19-21), 2019, Kaiserslautern, Germany, reviewed BibTeX
  81. 81. Hidehiko Takahashi, Neuroimaging of gambling disorder, International Conference on Behavioral Addictions, 2019, Yokohama, Japan, invited BibTeX
  82. 82. *Ogawa T, Moriya H, Hiroe N, Yamada T, Kawanabe M, Hirayama J, Network extraction method using hierarchical ICA-based approach: a simultaneous EEG-fMRI study, Organization of Human Brain Mapping (OHBM2019), 2019, Rome, Italy, reviewed poster BibTeX
  83. 83. Tomoki Fukai, Temporal feature analysis in brain-inspired neural systems, Silicon Nanoelectronics Workshop 2019, 2019, Kyoto, Japan, oral, invited BibTeX
  84. 84. Tomoki Fukai, Temporal feature analysis in brain-inspired neural systems, Silicon Nanoelectronics Workshop 2019, 2019, Kyoto, Japan, oral, invited BibTeX
  85. 85. Yamaguchi H, Hashimoto Y, Honda M, *Yamashita Y, Extracting feature from structural brain image using convolutional auto-encoder, 2019 OHBM annual meeting, 2019, Roma, Italy, poster BibTeX
  86. 86. Hashimoto Y, Ogata Y, Aizawa K, *Yamashita Y, New approach for analysis of resting-state functional MRI: Convolutional auto-encoder, 2019 OHBM annual meeting, 2019, Roma, Italy, poster BibTeX
  87. 87. *Masayuki Matsumoto, Dynamics of dopamine neuron activity represents value-to-choice transformation in monkeys performing an economic decisionmaking task, International Symposium on Biology of Decision Making, 2019, Oxford, UK, invited BibTeX
  88. 88. Y. Ikutani, N. Koganti, H. Hata, T. Kubo, and K. Matsumoto, Toward imitating visual attention of experts in software development tasks, 6th International Workshop on Eye Movements in Programming (EMIP 2019), 2019, Montreal, Canada, reviewed BibTeX
  89. 89. *Nakahara H, Neural computations underlying social decision-making, NII Shonan Meeting “Language as Goal-Directed Sequential Behavior: Computational Theories, Brain Mechanisms, Evolutionary Roots”, 2019, Kanagawa, Japan, oral, invited BibTeX
  90. 90. *Barry Ridge, Rok Pahic, Ales Ude, Jun Morimoto, Learning to write anywhere with spatial transformer image-to-motion encoder-decoder networks, IEEE International Conference on Robotics and Automation(ICRA2019)(2019/5/20-24), 2019, Montreal, Canada, reviewed BibTeX
  91. 91. *Masashi Hamaya, Takamitsu Matsubara, Jun-ichiro Furukawa, Yuting Sun, Satoshi Yagi, Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto, Exploiting human and robot muscle synergies for human-in-the-loop optimization of EMG-based assistive strategies, IEEE International Conference on Robotics and Automation(ICRA2019)(2019/5/20-24), 2019, Montreal, Canada, reviewed BibTeX
  92. 92. Labuguen R, Bardeloza DK, Blanco SN, Matsumoto J, Inoue K, Shibata T, Primate Markerless Pose Estimation and Movement Analysis Using DeepLabCut, Joint 2019 8th International Conference on Informatics, Electronics & Vision (ICIEV) & 3rd International Conference on Imaging, Vision & Pattern Recognition (IVPR), 2019, Washington, USA, poster BibTeX
  93. 93. *Suzuki C, Waggoner RA, Haruhana K, Tanaka K, Ueno K, Object recognition in inferotemporal cortex: from visual features to semantics, Improving k-space physiological noise correction with motion correction in fMRI studies, 2019, reviewed poster BibTeX
  94. 94. *Benucci A., Stability and Plasticity of Visual Representations in the Mouse Cortex, Brain Networks Workshop, 2019, Pohang, Korea, Invited talk BibTeX
  95. 95. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Shigeki Kato, Kazuto Kobayashi, and Masamichi Sakagami, Chemogenetic Inactivation Using Double Virus Vector Infection Reveals the Inhibitory Function of the Prefronto-striatal Pathway in the Macaque Brain, The International Basal Ganglia Society, 2019, Biarritz,France, poster BibTeX
  96. 96. *Abekawa N, Gomi H, Multiple motor memories depending on foveal and peripheral reaching., Neural Control of Movement 2019 (NCM2019), 2019, Toyama, poster BibTeX
  97. 97. *De Havas J, Ito S, Gomi H, The inhibition of voluntary muscle relaxations depends on similar mechanisms to the inhibition of muscle contractions., Neural Control of Movement 2019 (NCM2019), 2019, Toyama, poster BibTeX
  98. 98. Nakamura D, *Gomi H, Spatiotemporal tuning of ocular following response can be acquired by statistical machine learning of visual images during daily self-movements., Neural Control of Movement 2019 (NCM2019), 2019, Toyama, poster BibTeX
  99. 99. *Takamuku S, Ohta H, Kanai C, Gomi H, Visual feedback of object motion improves grip control but disrupts arm control in adults with ASC., Neural Control of Movement 2019 (NCM2019), 2019, Toyama, poster BibTeX
  100. 100. *Gomi H, Predictive setup of implicit sensorimotor processing according to tasks and environments, Neural Control of Movement 2019 (NCM2019), 2019, Toyama, oral BibTeX
  101. 101. Takashi Ikegami, AI からALIFE へ : 生命原理のロボットを考える, AI/SUM, 2019, 東京, invited BibTeX
  102. 102. *Kozuno T, Uchibe E, Doya K, Theoretical analysis of efficiency and robustness of softmax and gap-increasing operators in reinforcement learning, 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), 2019, Okinawa, Japan, reviewed, poster BibTeX
  103. 103. *Jun Morimoto, Motor learning algorithms, Skolkovo Robotics 2019, 2019, Moscow, Russia, invited, Keynote BibTeX
  104. 104. *Yamashita Y, Computational psychiatry: understanding neuropsychiatric disorders using computational modeling, 2019 Annual Meeting of Korea NeuroPsychiatric Association(KNPA), 2019, Seoul, Korea, plenary BibTeX
  105. 105. Tomoki Fukai, Temporal feature analysis by self-supervising dendritic neurons, 2019 Gordon Research Conference on Dendrites: Molecules, Structure and Function, 2019, Ventura, USA, oral, invited BibTeX
  106. 106. Tomoki Fukai, Temporal feature analysis by self-supervising dendritic neurons, 2019 Gordon Research Conference on Dendrites: Molecules, Structure and Function, 2019, Ventura, USA, oral, invited BibTeX
  107. 107. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates, DFG-AMED joint Workshop “New Direction in Systems Neuroscience”, 2019, Tuebingen, Germany, invited BibTeX
  108. 108. Masamichi Sakagami, Chemogenetic Inactivation Using Double Virus Vector Infection Revealed the Function of the Prefronto-striatal Pathway in the Macaque Brain, HangZhou Forum on “Cognitive Neuroscience and Intelligent Application”, 2019, China BibTeX
  109. 109. Tomoki Fukai, Learning information streams in brain-inspired neural network models, HangZhou Forum on Cognitive Neuroscience and Intelligent Application 2019, 2019, Hangzhou, China, oral, invited BibTeX
  110. 110. Tomoki Fukai, Learning information streams in brain-inspired neural network models, HangZhou Forum on Cognitive Neuroscience and Intelligent Application 2019, 2019, Hangzhou, China, oral, invited BibTeX
  111. 111. *Uchibe E, Imitation learning under entropy regularization, Reinforcement Learning & Biological Intelligence, 2019, Tokyo, Japan, oral, invited BibTeX
  112. 112. Doya K, Patience and beyond, COSYNE 2019 Workshop -Advances and Convergences in 5-HT Research, 2019, 2019/3/4-2019/3/5, Lisbon, Portugal, invited BibTeX
  113. 113. Tomoki Fukai, Implications of symmetric STDP, replay and inhibitory engrams in sequence learning, Computational and Systems Neuroscience (Cosyne) 2019 Workshop, 2019, Lisbon, Portugal, oral, invited BibTeX
  114. 114. Tomoki Fukai, Implications of symmetric STDP, replay and inhibitory engrams in sequence learning, Computational and Systems Neuroscience (Cosyne) 2019 Workshop, 2019, Lisbon, Portugal, oral, invited BibTeX
  115. 115. Doya K, Neural circuit for mental simulation, Computational and Systems Neuroscience 2019 (COSYNE2019), 2019, 2019/2/28-2019/3/2, Lisbon, Portugal, invited BibTeX
  116. 116. Takumi Ege*, Yoshikazu Ando, Ryosuke Tanno, Wataru Shimoda and Keiji Yanai, Image-Based Estimation of Real Food Size for Accurate Food Calorie Estimation, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2019, San Jose, USA, reviewed BibTeX
  117. 117. Tetsuya Nagano*, Takumi Ege, Wataru Shimoda and Keiji Yanai, A Large-scale Analysis of Regional Tendency of Twitter Photos Using Only Image Features, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2019, San Jose, USA, reviewed BibTeX
  118. 118. *Zoccolan D., Benucci A., Studying visual processing in rodents: where a decade of research has taken us and what is waiting ahead, CoSyNe 2019, 2019, Lisbon, Portugal, Workshop organizer and presenter, invited BibTeX
  119. 119. *Benucci A., Local and global contribution to hemodynamic activity in the mouse cortex, Neurovascular Unit Workshop, 2019, Tokyo, Invited talk BibTeX
  120. 120. Hidehiko Takahashi, Neuroimaging of gambling disorder, The 2nd International Behavioral Addiction Forum, 2019, Yokohama, Japan, Keynote BibTeX
  121. 121. *Matsumoto H, High-resolution Opto-Electrophysiology: a new tool for analyzing brain functions, 2019 BibTeX
  122. 122. *Matsumoto H, Mizuseki K, Information processing of the ventral tegmental area neurons in reward-based adaptive decision-making, 次世代脳プロジェクト 冬のシンポジウム, 2019 BibTeX
  123. 123. *Matsumoto H, Mizuseki K, Information processing of the ventral tegmental area neurons in reward-based decision-making, The 42nd Annual Meeting of the Japan Neuroscience Society., 2019 BibTeX

Domestic Conference

  1. 1. *山下祐一, 脳の計算理論を用いて精神疾患の病態に迫る:神経ロボティクス的アプローチ, 「次世代脳」冬のシンポジウム, 2019 BibTeX
  2. 2. *Miyawaki H, Mizuseki K, Inter-regional co-activation of neuronal ensembles emerged after initial memory acquisition., 次世代脳プロジェクト 冬のシンポジウム, 2019 BibTeX
  3. 3. Morioka H, Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning, 次世代脳プロジェクト冬のシンポジウム2019, 2019 BibTeX
  4. 4. 宮崎勝彦, セロトニンによる報酬待機行動の制御機構, 第254回つくばブレインサイエンス・セミナー, 2019 BibTeX
  5. 5. Doya K, What Can We Learn from the Brain for Next AI?, The 3rd Ryudai-OIST Symposium: Basic Medical Science to Clinical Medicine, 2019 BibTeX
  6. 6. *山下祐一, 計算論的精神医学:脳の計算モデルに基づく精神障害の病態理解, 第24回情動・社会行動と精神医学研究会, 2019 BibTeX
  7. 7. 銅谷賢治, マウスの脳内シミュレーションとロボットの報酬進化, 第12回日本人間行動進化学会, 2019 BibTeX
  8. 8. *岩橋直人, Theory of Cooperation: Cognitive and Mathematical Principles of Cooperation and their Applications – Motion, Dialogue, and Evolution, 情報処理学会東海支部講演会, 2019 BibTeX
  9. 9. Ayaka Matsumoto, Yu Toyoshima, Yuichi Iino, Investigating the mechanisms of integration of sensory and motor information in salt chemotaxis of C. elegans, 第42回日本分子生物学会年会, 2019 BibTeX
  10. 10. 佐藤博文、國友博文、Xianfeng Fei、橋本浩一、飯野雄一, 経験塩濃度依存的な行動を制御する神経回路の動態, 第42回日本分子生物学会年会, 2019 BibTeX
  11. 11. *Gupta S, Tanaka K, Waggoner RA, Temperature increase in a phantom and living human tissue: comparison of numerical simulations, MR thermometry, and optical thermocouples, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 4th Scientific Meeting, 2019 BibTeX
  12. 12. *山下祐一, 階層的予測情報処理プロセスの失調としての精神障害:神経ロボティクス的アプローチ, 生理研研究会「力学系の視点からの脳・神経回路の理解」, 2019 BibTeX
  13. 13. 宗田卓史・Ahmadreza Ahmadi・谷淳・星野幹雄・本田学・花川隆・*山下祐一, 規則の推論過程における予測の確信度と汎化性能との関連, 日本発達神経科学学会第8回学術集会, 2019 BibTeX
  14. 14. 出井 勇人,村田 真悟,*山下 祐一,*尾形 哲也, 神経興奮性の変調による過学習と行動切り替えの困難さ —RNNとロボットを用いた発達障害の知見の橋渡し—, 日本発達神経科学学会第8回学術集会, 2019 BibTeX
  15. 15. 村田 真悟,柳田 耀,片平 健太郎,鈴木 真介,尾形 哲也,*山下 祐一, クラウドソーシングによる目標指向描画タスクと多尺度発達障害 ・精神障害精神疾患傾向の大規模データ収集, 日本発達神経科学学会第8回学術集会, 2019 BibTeX
  16. 16. 小林 源太,*庄野 逸, 識別と再構成を行う マルチタスク ベクトル量子化 VAE, 第22回情報論的学習理論ワークショップ(IBIS2019), 2019 BibTeX
  17. 17. 一期﨑 翔,川島 貴大,*庄野 逸, グラフィカルモデルを用いた犯罪発生リスクエリアのスパース性を考慮した相関関係の可視化, 第22回情報論的学習理論ワークショップ(IBIS2019), 2019 BibTeX
  18. 18. 浜野佑介,*庄野 逸, Portilla-Simoncelli staisticsを用いたDCNNのテクスチャ表現解析, 第22回情報論的学習理論ワークショップ(IBIS2019), 2019 BibTeX
  19. 19. 大関洋平, 言語の神経計算モデルの構築と検証, マルチモーダル脳情報応用技術応用技術研究会, 2019 BibTeX
  20. 20. *山下祐一, 計算論的精神医学:脳の計算モデルを用いて精神疾患の病態に迫る, 蛋白研セミナー:精神疾患の分子・回路病態研究の最前線, 2019 BibTeX
  21. 21. *森本淳, Brain-inspired humanoid motor learning, ATR BICR Symposium, 2019 BibTeX
  22. 22. Doya K, Consciousness as Data Assimilation, Consciousness Club. ARAYA, 2019 BibTeX
  23. 23. 髙橋 英彦, 依存症の脳画像, 日本アルコール関連学会, 2019 BibTeX
  24. 24. 遠藤瑛泰,永田賢二,木戸尚治,*庄野 逸, Bolasso特徴選択手法を用いたびまん性肺疾患陰影の分析, 電子情報通信学会 ニューロコンピューティング研究会, 2019 BibTeX
  25. 25. Morioka H, Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning, Neuro-inspired AI Workshop, 2019 BibTeX
  26. 26. Doya K, Artificial Intelligence and Brain Science, The Joint Symposium of WPI-IIIS, Ph.D. Program in Humanics, and 36th Takamine Conference, 2019 BibTeX
  27. 27. Yu Toyoshima, Stephen Wu, Manami Kanamori, Hirofumi Sato, Moon Sun Jang, Yuko Murakami, Suzu Oe, Terumasa Tokunaga, Osamu Hirose, Sayuri Kuge, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida, Takeshi Ishihara, Yuichi Iino, Bio-image informatics for whole brain activity imaging and analysis of neural activity of C. elegans, 第57回日本生物物理学会年会, 2019 BibTeX
  28. 28. *Waggoner RA, Gupta S, Tanaka K, Chemical-Shift Selective Imaging Using Slice-Selective Gradient Reversal in the Presence of Incomplete Spectral Separation, 第47回日本磁気共鳴医学会大会, 2019 BibTeX
  29. 29. *内部英治, 強化学習と逆強化学習を組み合わせた模倣学習, 第25回ステアラボ人工知能セミナー, 2019 BibTeX
  30. 30. 飯野 雄一、豊島 有、佐藤 博文、ウ ステファン、ジャン ムンソン、金森 真奈美、寺本 孝行、大江 紗、村上 悠子、久下 小百合、広瀬 修、徳永 旭将、岩崎 唯史、吉田 亮、石原 健, 線虫C. elegansの神経ネットワークのダイナミクス, 第90回日本動物学会大会, 2019 BibTeX
  31. 31. 井上 謙一, 霊長類における光遺伝学を利用した神経回路操作, 日本動物学会第90回大阪大会, 2019 BibTeX
  32. 32. 銅谷賢治, ベイジアンブレインの今日, 日本認知科学会第36回大会, 2019 BibTeX
  33. 33. Yamaguchi H, Hashimoto Y, Sugihara G, Miyata J, Murai T, Takahashi H, Honda M, *Yamashita Y, Extracting features from structural brain image using convolutional autoencoder, 第3回ヒト脳イメージング研究会, 2019 BibTeX
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  36. 36. Morioka H, Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning, 3rd Japanese Meeting for Human Brain Imaging, 2019 BibTeX
  37. 37. *粟津俊二,松香敏彦,小田切史士,鈴木宏昭,岡田浩之,松田哲也, 多感覚的で文脈依存的な概念表象に関するfMRI 研究, 日本認知科学会第36回大会, 2019 BibTeX
  38. 38. 池上高志, Offloaded Agency, 日本認知科学会2019, 2019 BibTeX
  39. 39. *Uchibe E, Parallel reward and punishment learning under entropy regularization, 第29回日本神経回路学会全国大会 (JNNS 2019), 2019 BibTeX
  40. 40. *中村大樹, 五味裕章, What kind of analysis can be obtained by CNN from the statistical relationship between sequential images and self-motion?, 第29回日本神経回路学会大会 全国大会, 2019 BibTeX
  41. 41. 遠藤 瑛泰,永田 賢二,木戸 尚治, *庄野 逸, Analysis of Diffuse Lung Disease X-ray CT Images based on Feature Selection using Bolasso, 第29回神経回路学会全国大会(JNNS2019), 2019 BibTeX
  42. 42. *Naoto Iwahashi, Intelligence in Loop, 人工知能学会 言語・音声理解と対話処理研究会(SLUD)第86回研究会, 2019 BibTeX
  43. 43. *内部英治, 階層強化学習の進展, 第13回Motor Control研究会, 2019 BibTeX
  44. 44. *森本淳, 状態予測に基づくロボットの階層的な運動制御, 第13回Motor Control 研究会 (2019/8/23-25), 2019 BibTeX
  45. 45. *上田大志, 伊藤翔, 安部川直稔, 五味裕章, 2つの視覚運動応答の時間周波数特性が示す視覚運動情報処理のメカニズム, 第13回モーターコントロール研究会, 2019 BibTeX
  46. 46. *Tanaka K, Functional division among prefrontal areas in goal-directed behavior, 第42回日本神経科学大会, 2019 BibTeX
  47. 47. 熊野弘紀、川嵜圭祐、鈴木隆文、長谷川功、*宇賀貴紀, タスクスイッチ中のサル前頭前野情報表現の解読, 第42回日本神経科学大会, 2019 BibTeX
  48. 48. *小川 剛史, 守谷 大樹, 廣江 総雄, 山田 貴志, 川鍋 一晃, 平山 淳一郎, EEG-fMRI同時計測データを用いたSPLICEフィルターによる大規模ネットワークの推定, 第42回日本神経科学大会, 2019 BibTeX
  49. 49. Yu Toyoshima, Hirofumi Sato, Manami Kanamori, Stephen Wu, Moon Sun Jang, Suzu Oe, Yuko Murakami, Terumasa Tokunaga, Osamu Hirose, Sayuri Kuge, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida, Takeshi Ishihara, Yuichi Iino, Exploring the origin of brain and central nervous system through monitoring the neural activity of the whole animal, 第42回日本神経科学大会, 2019 BibTeX
  50. 50. *Li N, Wang Y, Jing F, Zha R, Wei Z, Tanaka K, Zhang X, dlPFC is more than conflict-based regulation: a tDCS study on the congruency sequence effect, 第42回日本神経科学大会, 2019 BibTeX
  51. 51. Mengxi Yun, Takashi Kawai, Masafumi Nejime, Hiroshi Yamada, *Masayuki Matsumto, Signal dynamics of midbrain dopamine neurons and orbitofrontal cortex neurons corresponding to value-to-choice transformation during economic decision-making in monkeys, 第42回日本神経科学大会, 2019 BibTeX
  52. 52. Iguchi Y, Kato S, Nishizawa K, Kobayashi K, Chemogenetic inhibition of ventral tegmental area dopamine neurons reveals multidimensional roles in motivated behavior reinforced by natural reward, The 42nd Annual Meeting of the Japan Neuroscience Society (Neuro2019) (2019/7/25-28), 2019 BibTeX
  53. 53. Lyamzin D., *Benucci A., Bayesian regularization of undersampled cortical dynamics during natural behaviour, JNS meeting, 2019 BibTeX
  54. 54. Bolanos F., Aoki R., *Benucci A., Quantifying the contribution of body movements to the dynamics of the mouse parietal cortex during decision-making using videography and deep convolutional neural networks, JNS meeting, 2019 BibTeX
  55. 55. Aoki R., *Benucci A., Reliable optogenetic stimulation of single neurons in-vivo with digital micro-mirror technology, JNS meeting, 2019 BibTeX
  56. 56. *山下祐一, 計算論的精神医学:脳の計算理論による精神障害の病態理解, 第10回 脳型人工知能とその応用ミニワークショップ, 2019 BibTeX
  57. 57. *山下祐一, 計算論的精神医学に基づく精神障害の病態理解, 日本オミックス医学会シンポジウム, 2019 BibTeX
  58. 58. *山下祐一, 予測符号化理論に基づく統合失調症の病態理解:精神病理学と神経科学の橋渡しとしての計算論的精神医学, 第115回日本精神神経学会学術総会, 2019 BibTeX
  59. 59. 遠藤 瑛泰, 永田 賢二, 木戸 尚治 , *庄野 逸, Bolasso を用いたびまん性肺疾患画像の特徴選択, 情報処理学会数理モデル化と問題解決研究会, 2019 BibTeX
  60. 60. 銅谷賢治, 人工知能と脳科学, 第58回日本生体医工学会大会, 2019 BibTeX
  61. 61. 三村喬生, 中村友昭, 松本惇平, 西条寿夫, 須原哲也, 持橋大地, 南本敬史*, 霊長類における身体動作時系列の分節推移構造推定, 第 33 回 人工知能学会全国大会, 2019 BibTeX
  62. 62. *奥田 恭章,尾崎 僚,谷口 忠大, 韻律情報を活用した二重分節解析器による自然音声からの語彙獲得, 2019年度人工知能学会全国大会(JSAI2019), 2019 BibTeX
  63. 63. *谷口尚平, 岩澤 有祐, 松尾豊, メタ学習としてのGenerative Query Network, 人工知能学会全国大会2019, 2019 BibTeX
  64. 64. *鈴木雅大, 金子 貴輝, 谷口 尚平, 松嶋 達也, 松尾豊, Pixyz:複雑な深層生成モデル開発のためのフレームワーク, 人工知能学会全国大会2019, 2019 BibTeX
  65. 65. *久保静真, 岩澤有祐, 鈴木雅大, 松尾豊, 身体の3次元構造を考慮したニューラル仮想試着, 人工知能学会全国大会2019, 2019 BibTeX
  66. 66. *村上太亮,尾崎僚,谷口彰,谷口忠大, 教師なし学習による物体概念および言語モデルと音響モデルの同時学習, 2019年度人工知能学会全国大会(JSAI2019), 2019 BibTeX
  67. 67. 柳田 耀, 村田 真悟, 片平 健太郎, 鈴木 真介, 尾形 哲也, *山下 祐一, 人とRecurrent Neural Network の描画インタラクション実験 Web 実験による大規模学習用データ収集とその解析, 第33回人工知能学会全国大会, 2019 BibTeX
  68. 68. *Doya K, Learning to Communicate for Ecological Fitness, Shonan Meeting No. 141. Language as Goal-Directed Sequential Behavior: Computational Theories, Brain Mechanisms, Evolutionary Roots, 2019 BibTeX
  69. 69. 石原弘二, 人型ロボットの階層的な全身運動制御, 第9回 脳型人工知能とその応用ミニワークショップ, 2019 BibTeX
  70. 70. 栁澤琢史, MEG/ECoG-BMIの臨床応用, 理研—産総研チャレンジ研究ワークショップ, 2019 BibTeX
  71. 71. *朝吹俊丈、深井朋樹, 自己条件付きエントロピー最小化による時系列情報の特徴学習, 日本物理学会第74回年次大会, 2019 BibTeX
  72. 72. *早川隆、深井朋樹, 動的均衡にある神経回路の理論解析とレザボワ計算, 日本物理学会第74回年次大会, 2019 BibTeX
  73. 73. *朝吹俊丈、深井朋樹, 自己条件付きエントロピー最小化による時系列情報の特徴学習, 日本物理学会第74回年次大会, 2019 BibTeX
  74. 74. *早川隆、深井朋樹, 動的均衡にある神経回路の理論解析とレザボワ計算, 日本物理学会第74回年次大会, 2019 BibTeX
  75. 75. 栁澤琢史, 脳ビッグデータとAIの医療応用, JST/NSF/DATAIAシンポジウム, 2019 BibTeX
  76. 76. 木村 慧、永井 裕司、田辺 創思、Zheng Andi、Oh Jungmin、藤原 真紀、中野 真由子、南本 敬史、井上 謙一、高田 昌彦, 霊長類脳への神経細胞特異的かつ高効率な遺伝子導入を実現する改変AAVベクターの開発., 第8回 生理研-霊長研-新潟脳研 合同シンポジウム, 2019 BibTeX
  77. 77. 栁澤琢史, AI診断の限界と可能性, CI学会, 2019 BibTeX
  78. 78. *山下祐一, 脳の計算理論に基づく発達障害の病態理解の試み, 第2回「発達障害の精神病理」ワークショップ, 2019 BibTeX
  79. 79. Takufumi Yanagisawa, Semantic decoding of visual stimulus using electrocorticogram and application for BCI, 第5回CiNet Conference, 2019 BibTeX
  80. 80. *Jun Morimoto, Model-based approaches to humanoid motor learning, 5th CiNet Conference, Computation and Representation in Brains and Machines (2019/2/20-22), 2019 BibTeX
  81. 81. 井上 謙一, ウイルスベクターを利用した霊長類における神経ネットワーク操作, 玉川大学総合人間科学ワークショップ, 2019 BibTeX
  82. 82. Masatoshi Yoshida, Takaaki Kaneko, Misako Komatsu, Hideyuki Okano, Noritaka Ichinohe, Visual mismatch negativity measured from whole-cortical electrocorticograhic arrays in common marmosets, 第8回日本マーモセット研究会大会, 2019 BibTeX
  83. 83. Takaaki Kaneko, Misako Komatsu, Noritaka Ichinohe, Hideyuki Okano, Wide range cortical interaction during active visual exploration revealed by a whole hemisphere ECoG recording, 第8回日本マーモセット研究会大会, 2019 BibTeX
  84. 84. 栁澤琢史、福間良平、Ben Seymour、細見晃一、田中将貴、貴島晴彦、神谷之康、齋藤洋一, 脳磁図ニューロフィードバックによる精神神経疾患の病態解明と治療法開発, 第35回日本脳電磁図トポグラフィ研究会, 2019 BibTeX
  85. 85. *山下祐一, 計算論的精神医学:脳の計算理論に基づく精神障害の病態理解, 第25回 全脳アーキテクチャ勉強会, 2019 BibTeX
  86. 86. *小村豊, 意識の再帰性を生み出す神経基盤, 新潟脳神経研究会特別例会, 2019 BibTeX
  87. 87. *Yamane Y, Ito J, Joana C, Fujita I, Tamura H, Maldonado P, Doya K, Grun S, Neuronal activity of macaque visual cortices during free viewing, The 19th winter workshop Mechanism of Brain and Mind, 2019 BibTeX
  88. 88. *Takamuku S, Gomi H, Ohta H, Kanai C, Grip force and hand movement with spring-mass-damper dynamics in adults with ASC., 第19回脳と心のメカニズムワークショップ, 2019 BibTeX
  89. 89. *中村大樹, 五味裕章, 視覚性運動応答の統計的性質は機械学習で再現できるか?, 第19回脳と心のメカニズムワークショップ, 2019 BibTeX
  90. 90. *高椋慎也, 五味裕章, Grip force and hand movement with spring-mass-damper dynamics in adults with ASC., 第19回脳と心のメカニズムワークショップ, 2019 BibTeX
  91. 91. Suzuki K, Wada M, *Yamashita Y, Modeling tactile temporal order judgement process using Hierarchical Gaussian Filter, Winter Workshop on Mechanism of Brain and Mind 2019, 2019 BibTeX
  92. 92. *Yamashita Y, Psychiatric and developmental disorders as failures in hierarchical predictive process: neurorobotics approach, Winter Workshop on Mechanism of Brain and Mind 2019, 2019 BibTeX

Book

  1. 1. *庄野 逸, 6.10 節 エッジコンピューティングと人工知能, 近代科学社, 2019 BibTeX
  2. 2. *庄野 逸, 13.5節 深層学習と視覚, 近代科学社, 2019 BibTeX
  3. 3. 谷口忠大, 賀茂川コミュニケーション塾, 世界思想社, 2019 BibTeX
  4. 4. Suzuki A, Sakanashi H, Kido S, *Shouno H, Deep learning in textural medical image analysis, Springer, 2019 BibTeX
  5. 5. 谷口忠大,他, AI時代の「自律性」 未来の礎となる概念を再構築する, 勁草書房, 2019, 河島茂生、ロボットの自律性概念、 BibTeX
  6. 6. *庄野 逸, 3.6 節 AI 活用による画像診断システムの開発, エヌ・ティー・エス, 2019 BibTeX
  7. 7. 髙橋 英彦, 依存症の脳画像, 朝倉書店, 2019 BibTeX
  8. 8. *庄野 逸, Chapter 1 人工知能(AI)総論, オーム社, 2019 BibTeX
  9. 9. *国里 愛彦、片平 健太郎、沖村 宰、山下 祐一, 計算論的精神医学, 勁草書房, 2019 BibTeX
  10. 10. アンジェロ・カンジェロシ,マシュー・シュレシンジャー(著)岡田浩之,谷口忠大(監訳), 発達ロボティクスハンドブック, 福村出版, 2019 BibTeX

Prize

  1. 1. NAIST-Rits-Panasonic (谷口Lab), NAIST-Rits-Panasonic, 1st Place, Restock & Disposal Task, Future Convenience Store Challenge Trial Competition 2019, World Robot Summit 2020, 2019 BibTeX
  2. 2. NAIST-Rits-Panasonic (谷口Lab), NAIST-Rits-Panasonic, 2nd Place, Restroom Cleaning Task, Future Convenience Store Challenge Trial Competition 2019, World Robot Summit 2020, 2019 BibTeX
  3. 3. 髙橋 英彦, 日本アルコール・アディクション医学会 柳田知司賞, 2019 BibTeX
  4. 4. 銅谷賢治, 日本神経回路学会 学術賞, 2019 BibTeX
  5. 5. Paavo Parmas (Doya Unit), Best Reviewer Award,NeurIPS Conference 2019, 2019 BibTeX
  6. 6. OIT-RITS (谷口Lab), OIT-RITS, 2nd Place, RoboCup Japan Open 2019, @Home Domestic Standard Platform League, Niigata, 2019 BibTeX
  7. 7. OIT-RITS (谷口Lab), 拡張現実を用いた言語コミュニケーションにも基づくオンライン家庭環境学習, 人工知能学会 人工知能学会賞, 2019 BibTeX
  8. 8. Yohei Oseki, Charles Yang, Alec Marantz, Modeling hierarchical syntactic structures in morphological processing, Best Paper Award, 2019 BibTeX
  9. 9. 松本正幸, World Cultural Council 特別表彰, 2019 BibTeX

Press Release

  1. 1. 中原裕之(理化学研究所), Deepening our understanding of selfish behavior, 冊子&Web (理研Research News), 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20191213_2/index.html BibTeX
  2. 2. 中原裕之(理化学研究所), Deepening our understanding of selfish behavior, 冊子&Web (RIKEN Research), 2019, https://www.riken.jp/medialibrary/riken/pr/publications/riken_research/2019/rr201912.pdf BibTeX
  3. 3. Yuichi Iino (Univ Tokyo), 飢餓を感知する感覚神経は新たな行動戦略を生み出す, 2019, https://www.s.u-tokyo.ac.jp/ja/press/2019/6508/ BibTeX
  4. 4. 坂上雅道,田中慎吾,John P. O’ Doherty(学校法人玉川学園HP), 2019 BibTeX
  5. 5. 中原裕之(理化学研究所), NeuralPocesses involved in social value conversion, 冊子&Web (理研Research News), 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20190705_FY20190013/ BibTeX
  6. 6. 中原裕之(理化学研究所), 「空気読めない」は脳回路によって決まる。理研が回路特定, Web news (Economic News), 2019, http://economic.jp/?p=85273 BibTeX
  7. 7. 中原裕之(理化学研究所), 他人の利益を考慮する意思決定の脳回路 -脳回路の働き方の違いが社会行動の個人差にも関わる-, Web (理研プレスリリース), 2019, https://www.riken.jp/press/2019/20190522_1/ BibTeX
  8. 8. Takashi Ikegami, 人工生命×アンドロイド「オルタ3」に関する4社共同研究プロジェクト, Mixi, 2019, https://mixi.co.jp/press/2019/0228/3783/index.html BibTeX
  9. 9. Tadahiro Taniguchi, 意味を理解するAIが求められている, LabBaseマガジン, 2019, 国内,雑誌 BibTeX

Other

  1. 1. Tatsuya Haga and Tomoki Fukai, RIKEN Research News, 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20191129_4/index.html BibTeX
  2. 2. Tatsuya Haga and Tomoki Fukai, Extending associative memory through inhibitory circuits, RIKEN Research News, 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20191129_4/index.html BibTeX
  3. 3. 中原裕之, 意思決定と他者の心, 生命科学系の学部・学科へ進む意欲を持つ高校1年生のための講演, 2019, 理化学研究所、和光, 私立土佐高等学校 生命科学系の学部・学科へ進む意欲を持つ高校1年生 BibTeX
  4. 4. 松本英之, 報酬機能を司るドーパミン神経回路の情報処理機構, 第7回ライフサイエンス談話会, 2019, あべのハルカス、大阪市, 一般向け講演会 BibTeX
  5. 5. 谷口忠大, AIブームの本質とは何か ~情報学の新パラダイムを考える~, Lecture, 第5期 京都クオリア塾, 2019, 一般向け講演会・セミナー BibTeX
  6. 6. *森本淳, 脳とAIとロボットの学習, ATRオープンハウス2019講演会, 2019, 株式会社国際電気通信基礎技術研究所(京都府), invited, 一般向け講演会 BibTeX
  7. 7. 三村 喬生, BeggineR Session – Data visualization -, 第82回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  8. 8. Tatsuya Haga and Tomoki Fukai, OIST News, 2019, https://www.oist.jp/news-center/news/2019/10/7/computer-model-helps-make-sense-human-memory BibTeX
  9. 9. Tatsuya Haga and Tomoki Fukai, Computer Model Helps Make Sense of Human Memory, OIST News, 2019, https://www.oist.jp/news-center/news/2019/10/7/computer-model-helps-make-sense-human-memory BibTeX
  10. 10. 三村 喬生, BeggineR Session – Visualization & Plot -, 第72回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  11. 11. 谷口忠大, 記号創発システム論に基づく実世界での 言語学習と理解の構成論に向けて, 公益財団法人 栢森情報科学振興財団「第19回Kフォーラム」, 2019, 一般向け講演会・セミナー BibTeX
  12. 12. 髙橋 英彦, 知・情・意の脳画像, 世界脳週間2019, 2019, 東京医科歯科大学 M&Dタワー2階 共用講義室1, 一般向け講演会 BibTeX
  13. 13. 谷口忠大, AIの進歩によって学問はどう変わる?, 連続トークイベント「学問2.0 ~交錯する理系知と文系知~」, 梅田蔦屋書店トークイベント, 2019, 一般向け講演会・セミナー BibTeX
  14. 14. *森本淳, 強化学習の基礎と応用, 新学術領域研究「人工知能と脳科学の対照と融合」若手サマースクール2019, 2019, 理化学研究所(埼玉県), invited, 一般向け講演会 BibTeX
  15. 15. 三村 喬生, IntRoduction & DemonstRation, 第80回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  16. 16. Komatsu M, Information Flow in the Cortex of Non-human primates with Large-Scale Electrocorticography, the NIPS Research Meeting on “Visualization and Control of Neural Dynamics, 2019, 岡崎, invited BibTeX
  17. 17. 三村 喬生, R Interface to Python, 第79回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  18. 18. 五味裕章, 身体が“見る”実世界の動きとは?~自然統計で紐解く視覚運動制御の秘密~, NTTコミュニケーション科学基礎研究所オープンハウス 2019, 2019, NTT京阪名ビル, 一般・研究開発者向けデモ展示 BibTeX
  19. 19. 三村 喬生, BeggineR Session – Probability -, 第78回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  20. 20. 谷口忠大, 人工知能で都市はどう変わるのか, 都市環境デザイン会議関西ブロック http://book.gakugei-pub.co.jp/wp/judi/forum1905/, 2019, 一般向け講演会・セミナー BibTeX
  21. 21. 三村 喬生, BeggineR Session – Data analysis -, 第77回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  22. 22. 中原裕之, 意思決定と他者の心, 自然科学カフェの集い(第41回), 2019, 機械振興会館、港区, 一般向け講演会 BibTeX
  23. 23. 谷口忠大, 機械と⼈の未来 〜ロボティクスと⼈⼯知能〜, Invited talk, 第30回「エジソンの会」国際高等研究所, 2019, 一般向け講演会・セミナー BibTeX
  24. 24. Komatsu M, Cortical information dynamics: Large-scale electrocorticography in common marmosets, German-Japanese Workshop on New Directions in System Neuroscience, 2019, Tuebingen, invited BibTeX
  25. 25. Fung Chi Chung Alan, Fukai Tomoki, A neural network model partly explains how we store and recollect memories, RIKEN Research News, 2019, https://www.riken.jp/en/news_pubs/research_news/rr/20190315_FY20180057/ BibTeX
  26. 26. 谷口忠大, 記号創発ロボティクスにおける確率的生成モデルと深層学習の融合, 東京大学先端人工知能学教育寄付講座 http://park.itc.u-tokyo.ac.jp/FAIRE/event/%E3%80%8C%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92%E3%81%AE%E5%85%88%E3%81%AB%E3%81%82%E3%82%8B%E3%82%82%E3%81%AE-%E8%A8%98%E5%8F%B7%E6%8E%A8%E8%AB%96%E3%81%A8%E3%81%AE%E8%9E%8D%E5%90%88%E3%82%92-2/, 2019, 一般向け講演会・セミナー BibTeX
  27. 27. 谷口忠大, 知能を創る–汎用人工知能への挑戦, AIビジネスインフォマティクス2019、 基調講演 https://b-event.impress.co.jp/event/aibi201903/, 2019, 一般向け講演会・セミナー BibTeX
  28. 28. 三村 喬生, BeggineR Session – Data analysis -, 第76回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
  29. 29. 三村 喬生, BeggineR Session – Data pipeline -, 第75回 Tokyo.R, 2019, 一般向け講演会・セミナー BibTeX
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