PUBLICATIONS
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International Journal Paper

  1. 1. *Katahira K, Yamashita Y, A theoretical framework for evaluating psychiatric research strategies., Computational Psychiatry, 2017, 1, 184-207, reviewed&# BibTeX
  2. 2. Nakamura T, Nagai T, Mochihashi D, Kobayashi I, Asoh H, *Kaneko M, Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes, Frontiers in Neurorobotics, 2017, 11, 67, reviewed BibTeX
  3. 3. *Jun Morimoto, Soft humanoid motor learning, Soft humanoid motor learning, 2017, 2, eaaq0989, reviewed&# BibTeX
  4. 4. Son S, Miyata J, Mori Y, Isobe M, Urayama SI, Aso T, Fukuyama H, Murai T, ＊Takahashi H., Lateralization of intrinsic frontoparietal network connectivity and symptoms in schizophrenia., Psychiatry Res, 2017, 260, 23-28, reviewed＃ BibTeX
  5. 5. Toshihiko Araki#, Mai Onishi#, Takufumi Yanagisawa*, Masayuki Hirata, Yoshiyuki Watanabe, Soshiro Ogata, Kazu Honda, Mikio Watanabe, Yoshinori Iwatani, Shiro Yorifuji, Frequency-specific genetic influence on inferior parietal lobule activation commonly observed during action observation and execution, Scientific Reports, 2017, 7, 1, 17660, reviewed& BibTeX
  6. 6. R.E. Kass, S. Amari, K. Arai, E.N. Brown, C.O. Diekman, M. Diesmann, B. Doiron, U.T. Eden, A. Fairhall, G.M. Fiddyment, T. Fukai, S. Gruen, M.T. Harrison, M. Helias, H. Nakahara, J. Teramae, P.J. Thomas, M. Reimers, J. Rodu, H.G. Rotstein, E. Shea-Brown, H. Shimazaki, S. Shinomoto, B.M. Yu, and M.A. Kramer, Computational Neuroscience: Mathematical and Statistical Perspectives, Annual Review of Statistics and Its Application, 2017, 5, 183-214, reviewed & BibTeX
  7. 7. *Timotej Gaspar, Bojan Nenec,Jun Morimoto,Ales Ude, Skill learning and action recognition by arc-length dynamic movement primitives, Robotics and Autonomous Systems, 2017, 100, 225-235, reviewed# BibTeX
  8. 8. Miyajima M, Zhang B, Sugiura Y, Sonomura K, Guerrini MM, Tsutsui Y, Maruya M, Vogelzang A, Chamoto K, Honda K, Hikida T, Ito S, Qin H, Sanuki R, Suzuki K, Furukawa T, Ishihama Y, Matsuda F, Suematsu M, Honjo T, Fagarasan S, Metabolic shift induced by systemic activation of T cells in PD-1-deficient mice perturbs brain monoamines and emotional behavior., Nature Immunology, 2017, 28, 12, 1342-1352, reviewed BibTeX
  9. 9. Fan H, Pan X*, Wang R, Sakagami M, Differences in reward processing between putative cell types in primate prefrontal cortex, PLoS ONE, 2017, 12, 12, e0189771, reviewed&# BibTeX
  10. 10. K. Fujita, S. Shinomoto, and L.E.C. Rocha, Correlations and forecast of death tolls in the Syrian conflict, Scientific Reports, 2017, 7, 15737, reviewed & BibTeX
  11. 11. *Takashi Ikegami, Yoh-ichi Mototake, Shintaro Kobori, Mizuki Oka, Yasuhiro Hashimoto, Life as an emergent phenomenon: studies from a large-scale boid simulation and web data, Phil.Roy.Soc, 2017, reviewed BibTeX
  12. 12. Fujiwara, Yusuke, Jongho Lee, Takahiro Ishikawa, Shinji Kakei, and (*)Jun Izawa, Diverse coordinate frames on sensorimotor areas in visuomotor transformation, Scientific reports, 2017, 7, 1, 14950, reviewed& BibTeX
  13. 13. *Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda,Tatsuya Teramae,Jun Morimoto, Learning assistive strategies for exoskeleton robots from user-robot physical interaction, Pattern Recognition Letters, 2017, 99, 67-76, reviewed# BibTeX
  14. 14. Yamagishi T*, Li Y, Fermin A, Kanai R, Takagishi H, Matsumoto Y, Kiyonari T, Sakagami M, Behavioural Differences and Neural Substrates of Altruistic and Spiteful Punishment, Scientific Reports, 2017, 7, 1, 14654, reviewed& BibTeX
  15. 15. Kubota M, Nagashima T, Takano H, Kodaka F, Fujiwara H, Takahata K, Moriguchi S, Kimura Y, Higuchi M, Okubo Y, Takahashi H, Ito H, ＊Suhara T, Affinity States of Striatal Dopamine D2 Receptors in Antipsychotic-Free Patients with Schizophrenia., Int J Neuropsychopharmacol. , 2017, 20, 11, 928-935, reviewed BibTeX
  16. 16. Kobayashi R, Nishimaru H, Nishijo H, Lansky P, A single spike deteriorates synaptic conductance estimation, Biosystems, 2017, 161, 41-45, reviewed & BibTeX
  17. 17. *Galvan A, Stauffer WR, Ackerson L, El-Shamayleh Y, Inoue K, Ohayon S, Schmid M, Nonhuman primate optogenetics: Recent advances and future directions., J Neurosci., 2017, 37, 10894-10903, reviewed BibTeX
  18. 18. *Hiratani N, Fukai T, Detailed dendritic excitatory/inhibitory balance through heterosynaptic spike-timing-dependent plasticity, The Journal of Neuroscience, 2017, 37, 50, 12106-12122, reviewed BibTeX
  19. 19. Aoki R, Tsubota T, Goya Y, *Benucci A, An automated platform for high-throughput mouse behavior and physiology with voluntary head-fixation, Nature Communications, 2017, 8, 1, 1196, reviewed BibTeX
  20. 20. *Atsushi Masumori, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami, Learning by Stimulation Avoidance in Cultured Neuronal Cells, Proc of the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2017), 2017, 1, 279-286, reviewed BibTeX
  21. 21. Fujino J, Tei S, Jankowski KF, Kawada R, Murai T, *Takahashi H., Role of Spontaneous Brain Activity in Explicit and Implicit Aspects of Cognitive Flexibility under Socially Conflicting Situations: A Resting-state fMRI Study using Fractional Amplitude of Low-frequency Fluctuations., Neuroscience, 2017, 367, 60-71, reviewed# BibTeX
  22. 22. Hashimoto H, Hasegawa Y, Araki T, Sugata H, Yanagisawa T, Yorifuji S, Hirata M., Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG., Scientific Reports, 2017, 7, 1, 14262, reviewed& BibTeX
  23. 23. *Shinsuke Suzuki, Logan Cross, John P. O’Doherty, Elucidating the underlying components of food valuation in the human orbitofrontal cortex, Nature Neuroscience, 2017, 20, 1780-1786, reviewed&# BibTeX
  24. 24. *Tokuda T, Yoshimoto J, Shimizu Y, Okada G, Takamura M, Okamoto Y, Yamawaki S, Doya K, Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions, PLoS One, 2017, 12, 10, e0186566, reviewed BibTeX
  25. 25. *Hiroki Kojima, Tom Froese, Mizuki Oka, Hiroyuki Iizuka, Takashi Ikegami, A Sensorimotor Signature of the Transition to Conscious Social Perception: Co-regulation of Active and Passive Touch, Frontiers in Psychology, 2017, reviewed BibTeX
  26. 26. Kinjo K, *Uchibe E, Doya K, Robustness of linearly solvable Markov games employing inaccurate dynamics model, Artificial Life and Robotics, 2018, 23, 1-9, reviewed BibTeX
  27. 27. Yamada T, Hashimoto RI, Yahata N, Ichikawa N, Yoshihara Y, Okamoto Y, Kato N, Takahashi H, *Kawato M, Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers, Int J Neuropsychopharmacol, 2017, 20, 769-781, reviewed& BibTeX
  28. 28. *Komatsu M, Sugano E, Tomita H, *Fujii N, A chronically implantable bidirectional neural interface for non-human primates, Frontiers in neuroscience, 2017, 11, 514, reviewed# BibTeX
  29. 29. *Uchibe, E, Model-Free Deep Inverse Reinforcement Learning by Logistic Regression, Neural Processing Letters, 2018, 47, 891-905, reviewed BibTeX
  30. 30. *Itsuki Doi, Takashi Ikegami, Atsushi Masumori, Hiroki Kojima, Kohei Ogawa, Hiroshi Ishiguro, A new design principle for an autonomous robot, Proc of the 14th European Conference on Artificial Life (ECAL2017), 2017, 1, 490-496, reviewed BibTeX
  31. 31. *Lana Sinapayen, Takashi Ikegami, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, Proc of the 14th European Conference on Artificial Life (ECAL2017), 2017, 1, 380-387, reviewed BibTeX
  32. 32. *Atsushi Masumori, Lana Sinapayen, Takashi Ikegami, Learning by stimulation avoidance scales to large neural networks, Proc of the 14th European Conference on Artificial Life (ECAL2017), 2017, 1, 275-282, reviewed BibTeX
  33. 33. Matsumoto Y, Takahashi H, Miyata J, Sugihara G, Murai T, ＊Takahashi H., Neural basis of altered earlier attention and higher order biological motion processing in schizophrenia., Soc Neurosci, 2017, 13, 594-601, reviewed＃ BibTeX
  34. 34. Fujino J, Tei S, Hashimoto RI, Itahashi T, Ohta H, Kanai C, Okada R, Kubota M, Nakamura M, Kato N, *Takahashi H., Attitudes toward risk and ambiguity in patients with autism spectrum disorder, Mol Autism, 2017, 8, 45, reviewed&# BibTeX
  35. 35. Saito N, Takahata K, Yamakado H, Sawamoto N, Saito S, Takahashi R, Murai T, ＊Takahashi H., Altered awareness of action in Parkinson’s disease: evaluations by explicit and implicit measures., Sci Rep, 2017, 7, 1, 8019, reviewed＃ BibTeX
  36. 36. *Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto, EMG-based model predictive control for physical human-robot interaction: Application for assist-as-needed control, IEEE Robotics and Automation Letters(RA-L), 2017, 3, 1, 210-217, reviewed# BibTeX
  37. 37. Izutsu N, Kinoshita M, Yanagisawa T, Nakanishi K, Sakai M, Kishima H., Preservation of Motor Function After Resection of Lower-Grade Glioma at the Precentral Gyrus and Prediction by Presurgical Functional Magnetic Resonance Imaging and Magnetoencephalography., World Neurosurg., 2017, 17, 31252-4, reviewed& BibTeX
  38. 38. Kobayashi K, Inoue K, Tanabe S, Kato S, Takada M, *Kobayashi K, Pseudotyped lentiviral vectors for retrograde gene delivery into target brain regions., 2017, 11, 65, reviewed BibTeX
  39. 39. Shioda N, Yabuki Y, Wang Y, Uchigashima M, Hikida T, Sasaoka T, Mori H, Watanabe M, Sasahara M, Fukunaga K, Endocytosis following dopamine D2 receptor activation is critical for neuronal activity and dendritic spine formation via Rabex-5/PDGFRβ signaling in striatopallidal medium spiny neurons., Molecular Psychiatry, 2017, 22, 8, 1205-1222, reviewed BibTeX
  40. 40. Chen YY, Pan XC*, Wang RB, Sakagami M, Reward information encoded by power of local field potentials in the primate prefrontal Cortex and striatum, Sheng Li Xue Bao, 2017, 69, 4, 385-396, reviewed& BibTeX
  41. 41. Tei S, Fujino J, Kawada R, Jankowski KF, Kauppi JP, van den Bos W, Abe N, Sugihara G, Miyata J, Murai T, ＊Takahashi H., Collaborative roles of Temporoparietal Junction and Dorsolateral Prefrontal Cortex in Different Types of Behavioural Flexibility., Sci Rep, 2017, 7, 1, 6415, reviewed＃ BibTeX
  42. 42. Tei S, Fujino J, Kawada R, Jankowski KF, Kauppi JP, van den Bos W, Abe N, Sugihara G, Miyata J, Murai T, *Takahashi H., Collaborative roles of Temporoparietal Junction and Dorsolateral Prefrontal Cortex in Different Types of Behavioural Flexibility, Sci Rep, 2017, 7, 6415, reviewed& BibTeX
  43. 43. Abe H, Tani T, Mashiko H, Kitamura N, Miyakawa N, Mimura K, Sakai K, Suzuki W, Kurotani T, Mizukami H, Watakabe A, Yamamori T, Ichinohe N*, 3D reconstruction of brain section images for creating axonal projection maps in marmosets., J Neurosci Methods, 2017, 286, 102-103, reviewed BibTeX
  44. 44. *Christopher A Hill, Shinsuke Suzuki, Rafael Polania, Marius Moisa, John P O’Doherty, Christian C Ruff, A causal account of the brain network computations underlying strategic social behavior, Nature Neuroscience, 2017, 20, 1142-1149, reviewed& BibTeX
  45. 45. Tomoda T, Hikida T, Sakurai T, Role of DISC1 in neuronal trafficking and its implication in neuropsychiatric manifestation and neurotherapeutics., Neurotherapeutics, 2017, 14, 3, 623-6291, invitedreviewed# BibTeX
  46. 46. Hayashi Y, Yawata S, Funabiki K, Hikida T, In vivo calcium imaging from dentate granule cells with wide-field fluorescence microscopy., PLoS ONE, 2017, 12, 7, e0180452, reviewed# BibTeX
  47. 47. *Sugihara G, Oishi N, Son S, Kubota M, Takahashi H, Murai T., Distinct Patterns of Cerebral Cortical Thinning in Schizophrenia: A Neuroimaging Data-Driven Approach., Schizophr Bull, 2017, 43, 900-906, reviewed# BibTeX
  48. 48. Murao E, Sugihara G, Isobe M, Noda T, Kawabata M, Matsukawa N, Takahashi H, Murai T,*Noma S., Differences in neural responses to reward and punishment processing between anorexia nervosa subtypes: An fMRI study, Psychiatry Clin Neurosci, 2017, 71, 9, 647-658, reviewed&# BibTeX
  49. 49. Yamagishi T*, Matsumoto Y, Kiyonari T, Takagishi H, Li Y, Kanai R, Sakagami M., Response time in economic games reflects different types of decision conflict for prosocial and proself individuals., Proceedings of National Academy of Sciences U.S.A, 2017, 114, 24, 6394-6399, reviewed& BibTeX
  50. 50. *Saga Y, Nakayama Y, Inoue K, Yamagata T, Hashimoto M, Tremblay L, Takada M, Hoshi E, Visuomotor signals for reaching movements in the rostro-dorsal sector of the monkey thalamic reticular nucleus., Eur J Neurosci, 2017, 45, 1186-1199, reviewed BibTeX
  51. 51. *Jun-ichiro Furukawa, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Human movement modeling to detect bio-signal sensor failures for myoelectric assistive robot control, IEEE Transaction on Robotics, 2017, 33, 4, 846-857, reviewed# BibTeX
  52. 52. Fujimoto A, Tsurumi K, Kawada R, Murao T, Takeuchi H, Murai T, *Takahashi H., Deficit of state-dependent risk attitude modulation in gambling disorder, Translational Psychiatry, 2017, 7, e1085, reviewed&# BibTeX
  53. 53. Proskurnia J, Grabowicz PA, Kobayashi R, Castillo C, Cudre-Mauroux P, Aberer K, Predicting the success of online petitions leveraging multidimensional time-series, WWW, 2017, 17, 755-764, reviewed & BibTeX
  54. 54. Sumitomo A, Ueta K, Horike K, Mauchi S, Hirai K, Hikida T, Sakurai T, Sawa A, Tomoda T, Ulk1 protects against ethanol-induced neuronal stress and cognition-related behavioral deficits., Neuroscience Research, 2017, 117, 54-61, reviewed# BibTeX
  55. 55. Nakanishi Y*, Yanagisawa T*, Shin D, Kambara H, Yoshimura N, Tanaka M, Fukuma R, Kishima H, Hirata M, Koike Y, Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex., Scientific Reports, 2017, 7, 1, 45486, reviewed& BibTeX
  56. 56. Kitanishi T+, Ito HT+, Hayashi Y+, Shinohara Y+, *Mizuseki K+, *Hikida T+, Network mechanisms of hippocampal laterality, place coding and goal-directed navigation., J Physiol Sci, 2017, 67, 2, 247-258, invitedreviewed# BibTeX
  57. 57. Lak A, Nomoto K, Keramati M, Sakagami M, Kepecs A* , Midrain Dopamine Neurons Signal Belief in Choice Accuracy during a Perceptual Decision, Current biology, 2017, 27, 6, 821-832, reviewed&# BibTeX
  58. 58. Son S, *Miyata J, Mori Y, Isobe M, Urayama SI, Aso T, Fukuyama H, Murai T, Takahashi H., Lateralization of intrinsic frontoparietal network connectivity and symptoms in schizophrenia., Psychiatry Res Neuroimaging, 2017, 260, 23-28, reviewed BibTeX
  59. 59. Shimizu Y, Son C, Aotani D, Nomura H, Hikida T, Hosoda K, Nakao K, Role of leptin in conditioned place preference to high-fat diet in leptin-deficient ob/ob mice., Neuroscience Letters, 2017, 640, 60-63, reviewed BibTeX
  60. 60. *Lana Sinapayen, Atsushi Masumori, Takashi Ikegami, Learning by stimulation avoidance: A principle to control spiking neural networks dynamics., PLoS ONE, 2017, reviewed BibTeX
  61. 61. *Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito, Takenaka and; Takashi Bando, Visualization of driving behavior based on hidden feature extraction by using deep learning, IEEE Transactions on Intelligent Transportation Systems, 2016, 1-13, reviewed BibTeX
  62. 62. *Wang, J X, Uchibe E, Doya K, Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer, Frontiers in Neurorobotics, 2016, 11, 1-15, reviewed BibTeX
  63. 63. Takeuchi H, Tsurumi K, Murao T, Takemura A, Kawada R, Urayama SI, Aso T, Sugihara GI, Miyata J, Murai T, *Takahashi H., Common and differential brain abnormalities in gambling disorder subtypes based on risk attitude., Addict Behav, 2017, 69, 48-54, reviewed&# BibTeX

Domestic Journal Paper

  1. 1. 栁澤琢史, BMIによる幻肢痛の病態解明と新たな治療法開発, 機能的脳神経外科, 2017, 56, 41-45, invited BibTeX
  2. 2. *鈴木雅大, 松尾豊, 異なるモダリティ間の双方向生成のための深層生成モデル, 情報処理学会論文誌, 2018, 59, 3, 859-873, reviewed BibTeX
  3. 3. 田中慎吾、坂上雅道, 推移的推論の脳メカニズム－汎用人工知能の計算理論構築をめざして－, 人工知能, 2017, 32, 6, 845 BibTeX
  4. 4. 栁澤琢史, 幻肢痛をBMIで治す, Clinical Neuroscience, 2017, 35, 1, 356-7, invited BibTeX
  5. 5. *疋田貴俊, 神経回路から精神疾患病態へ, 日本生物学的精神医学会誌, 2017, 28, 3, 132-134, invited# BibTeX
  6. 6. 松尾真, 柳井啓司, Neural Style Vectorを用いた絵画画像のスタイル検索, 電子情報通信学会論文誌 D, 2017, J100-D, 8, 742-749, reviewed BibTeX
  7. 7. 會下拓実, 柳井啓司, CNN 特徴量学習に基づく画像検索による食事画像カロリー量推定, 電子情報通信学会論文誌 D, 2018, J101-D, 8, -, reviewed# BibTeX
  8. 8. 新國彰彦、小村豊*, 注意のスポットライトと視床, Clinical Neuroscience, 2017, 35, 945-948, ＆ BibTeX
  9. 9. 栁澤琢史、福間良平1,3)、Ben Seymour 9)、細見晃一1,5) 、清水豪士1,5)、貴島晴彦1)、平田雅之1,2)、横井浩史7) 、吉峰俊樹2,8)、神谷之康3,6)、齋藤洋一, 皮質可塑性の制御による幻肢痛の病態解明と治療, Pain Research, 2017, 33, 26-31, invited BibTeX
  10. 10. *疋田貴俊、森田真規子、Macpherson T, 認知学習における大脳基底核神経回路機構, 日本神経精神薬理学雑誌, 2017, 37, 35-38, invitedreviewed BibTeX
  11. 11. 中原裕之, 社会知性を実現する脳計算システムの解明： 人工知能の実現に向けて, 人工知能学会誌, 2017, 32, 6, 863-872, reviewed, invited, & BibTeX
  12. 12. So Fujimoto, Yutaka Komura*, The map of auditory function, Brain and Nerve, 2017, 69, 471-478, ＆ BibTeX
  13. 13. *高橋英彦, ギャンブル依存症の神経メカニズム, 医学のあゆみ, 2017, 263, 672-673, invited & BibTeX

International Conference

  1. 1. Doya K, Neural circuits for reinforcement learning and mental simulation, SCiNDU: Systems & Computational Neuroscience Down Under, 2017, 2017.12.14, Queensland Brain Institute, The University of Queensland, Brisbane, Australia, invited BibTeX
  2. 2. *Hikida T, Macpherson T, Nucleus accumbens D1 receptor expressing neurons control sutoshaping behavior., 56th Annual Meeting of the American College of Neuropsychopharmacology, 2017, poster BibTeX
  3. 3. Macpherson T, *Hikida T, Dopamine D2L receptors control flexible behavior., OU-ANU 2nd joint symposium Protein Structure and Function, 2017, poster BibTeX
  4. 4. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh, MEG-Neurofeedback for phantom limb pain, rtFIN, 2017, ATR, Kyoto, invited BibTeX
  5. 5. Tadahiro Taniguchi, Symbol Emergence in Robotics:from sensorimotor information to language, Neurobiology and Neuroinformatics 2017 (NBNI2017), 2017, Wako, Japan, invited BibTeX
  6. 6. Fukai T, Unsupervised reservoir computing for chunking sequence information., NBNI 2017, 2017, Wako, Japan BibTeX
  7. 7. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Elucidating the role of the macaque lateral prefrontal cortex for the value-based decision making using the decoded neurofeeback, real-time Functional Neuroimaging and Neurofeedback 2017, 2017, Nara BibTeX
  8. 8. *Hirayama J, Ogawa T, Moriya H, Hyvärinen A, Kawanabe M, Exploring EEG source resting-state networks by SPLICE: A simultaneous fMRI study, Real-time Functional Imaging and Neurofeedback Conference (rtFIN2017), 2017, 奈良, reviewed poster BibTeX
  9. 9. *Ogawa T, Moriya H, Yamada T, Kawanabe M, Hirayama J, Prediction of resting state fMRI signatures from EEG signal: a study of EEG-fMRI simultaneous recording, Real-time Functional Imaging and Neurofeedback Conference (rtFIN2017), 2017, 奈良, reviewed poster BibTeX
  10. 10. *Moriya H, Ogawa T, Kawanabe M, Hirayama J, Predictability of amygdala BOLD signal from multiple-electrode EEGs, Real-time Functional Imaging and Neurofeedback Conference (rtFIN2017), 2017, 奈良, reviewed poster BibTeX
  11. 11. *Hikida T, Basal ganglia network mechanisms in cognitive learning, 12th International Symposium of the Institute Network –Driving Next-Generation Medicine: the Spirit of Pioneering Discovery in Medical Science, 2017, invited BibTeX
  12. 12. T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, MEG-based BMI controlled the sensorimotor cortical plasticity and phantom limb pain, rtFIN satellite symposium on brain-computer interface and neurofeedback, 2017, ATR, Kyoto, invited BibTeX
  13. 13. Ikegami, T, Life as an Emergent Phenomenon: Studies From Large-Scale Boid Simulation and Web Data, IEEE Symposium on Artificial Life (2017/11/27-12/1), 2017, Hawaii, USA, invited BibTeX
  14. 14. *Reinke C, Doya K, Adaptation of Optimization Algorithms to Problem Domains by Transfer Learning, 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2017, 2017.11.24, OIST, poster BibTeX
  15. 15. *Benucci A., Sensory Representation Plasticity Driven by Single Neurons in the Mouse Cortex, invited talk, University of California San Francisco, 2017, San Francisco, CA, Invited talk BibTeX
  16. 16. Doya K, What can we further learn from the brain?, 24th International Conference on Neural Information Processing ICONIP2017, 2017, 2017.11.16, Guangzhou, China, invited BibTeX
  17. 17. *Jun-ichiro FURUKAWA, Asuka TAKAI,Jun MORIMOTO, Database-driven approach for biosignal-based robot control with collaborative filtering, IEEE-RAS International Conference on Humanoid Robots(Humanoids2017), 2017, Birmingham, UK, reviewed# BibTeX
  18. 18. Takaya Ogasawara, Masahiko Takada, *Masayuki Matsumoto, The nigrostriatal dopamine pathway transmits a stop signal during the performance of a saccadic countermanding task in monkeys, Society for Neuroscience, 2017, Washington DC, USA, poster BibTeX
  19. 19. Haga T, Fukai T, Reverse replay strengthens forward pathways to reward through Hebbian learning and short-term depression., Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  20. 20. *Yoshizawa T, Ito M, Doya K, Neural representation of sensory-state value in the striatal striosome compartment, Society for Neuroscience 47th Annual Meeting, 2017, 2017.11.14, Walter E. Washington Convention Center, Washington DC, USA, poster BibTeX
  21. 21. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for deciding with predicting others in human brain, The 47th Annual Meeting of the Society for Neuroscience (sfn 2017), 2017, Washington DC, USA, poster BibTeX
  22. 22. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for converting social value into one’s own decision value, The 47th Annual Meeting of the Society for Neuroscience (sfn 2017), 2017, Washington DC, USA, poster BibTeX
  23. 23. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Spatial and temporal distribution of value-related and the visual information in the macaque lateral prefrontal cortex, Neuroscience 2017, the 47th annual meeting of the Society for Neuroscience, 2017, Washington DC BibTeX
  24. 24. Misako Komatsu, Noritaka Ichinohe, An anesthetic dose of ketamine disrupts mismatch activity in common marmosets, Neuroscience 2017, 2017, Washingtom, USA, poster BibTeX
  25. 25. Tsubota T., *Benucci A., Plasticity for stimulus selectivity in the visual cortex of adult mice induced by patterned optogenetic stimulation, Neuroscience 2017, 2017, Washington DC BibTeX
  26. 26. Asabuki T, Fukai T, Chunk learning from complex sequences by mutually supervising recurrent neural networks, Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  27. 27. DeCostanzo A, Fukai T, A local supervised learning rule protects memories from catastrophic interference during subsequent unsupervised learning., Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  28. 28. Watanabe K, Haga T, Tatsuno M, Euston DR, Fukai T, Blind detection of behavior related population activity by using edit similarity measurement and statistical modeling., Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  29. 29. Uezono S, Tanabe S, Fujiwara M, Tsuge H, Nakamura K, Inoue K, Takada M, Organization of multisynaptic inputs from the basal ganglia and cerebellum to the anterior and posterior cingulate cortical areas in common marmosets: Retrograde transneuronal double labeling with fluorescent rabies viral vectors., Neuroscience 2017, 2017, Washington, DC, USA, poster BibTeX
  30. 30. Takaya Ogasawara, Masahiko Takada, Masayuki Matsumoto, The nigrostriatal dopamine pathway transmits a stop signal during the performance of a saccadic countermanding task in monkeys, Society for Neuroscience BibTeX
  31. 31. Inoue K, Fujiwara M, Uezono S, Tanabe S, Ishida H, Hoshi E, Takada M, Arrangement of multisynaptic inputs from the basal ganglia to the dorsal and ventral premotor cortical areas in macaques: retrograde transneuronal double labeling with fluorescent rabies viral vectors., Neuroscience 2017, 2017, Washington, DC, USA, poster BibTeX
  32. 32. *Lehky SR, Phan A, Cichocki A, Tanaka K, Coding of faces by tensor components, 2017, poster BibTeX
  33. 33. Kurikawa T, Handa T, Fukai T, Instability of neural trajectories in medial frontal cortex predicts individual differences in perceptual decision making., Neuroscience 2017, 2017, Washingon, D.C., U.S.A. BibTeX
  34. 34. Matsumoto J, Nishimaru H, Takamura Y, Mimura K, Asaba A, Suzuki W, Ichinohe N, Minamimoto T, Ono T, *Nishijo H, 3D-Tracker, an open-source 3D video based behavioral analysis system for laboratory animals for neuroscience, 2017, Washington DC, US BibTeX
  35. 35. Abekawa Naotoshi, Gomi Hiroaki, Modulation difference in visuomotor responses in implicit and explicit motor tasks depending on postural stability, Annual Meeting of the Society for Neuroscience (2017/11/11-15), 2017 BibTeX
  36. 36. Ito Sho, Gomi Hiroaki, Rotated visual feedback of self-movement affects long-latency stretch reflex, Annual Meeting of the Society for Neuroscience (2017/11/11-15), 2017 BibTeX
  37. 37. Takamuku Shinya, Abekawa Naotoshi,Gomi Hiroaki, Automatic adjustment of walking speed by optic flow benefits from binocular vision, Annual Meeting of the Society for Neuroscience (2017/11/11-15), 2017 BibTeX
  38. 38. Ueda Hiroshi, Abekawa Naotoshi,Gomi Hiroaki, Temporal development of an interaction effect between internal motion and contour signals of drifting target on reaching adjustment, Annual Meeting of the Society for Neuroscience (2017/11/11-15), 2017 BibTeX
  39. 39. Macpherson T, *Hikida T, Nucleus Accumbens D1 receptor expressing neurons control autoshaping behavior, Neuroscience 2017, 2017, poster BibTeX
  40. 40. *Nakajima H, Nakamura S, Kita A, Itakura M, Senami C, Kuwamura M, Hikida T, Azuma Y-T, Takeuchi T, Blockade of GAPDH nuclear translocation in the hippocampus contributes to anti-depressant-like action in stressed mice, Neuroscience 2017, 2017, poster BibTeX
  41. 41. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates., Neuroscience 2017, 2017, Washington, DC, USA, invited BibTeX
  42. 42. *Parmas P, Peters J, Doya K, The optimal-baseline estimator is not the optimal baseline-estimator, Information-based induction sciences workshop (IBIS), 2017, 2017.11.10, Tokyo, Japan, poster BibTeX
  43. 43. T. Yoshimoto, J. Chikazoe, S. Okazaki, M. Sumiya, H. K. Takahashi, E. Nakagawa, T. Koike, R. Kitada, S. Okamoto, M. Nakata, H, Kosaka, T. Yada, N. Sadato, Abstractness of value representation in orbitofrontal cortex, The 47th annual meeting of Society for Neuroscience, 2017, Washinton D. C., poster BibTeX
  44. 44. Mao Noguchi, So Fujimoto, Akihiko Nikkuni, Yutaka Komura*, Core of neural network for conscious states and percepts in primate, Conscious Research Network, 2017, Taipei, Taiwan, invited BibTeX
  45. 45. *S. Hashimoto, I. Kobayashi, A basic study on action control using deep reinforcement learning, The 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2017), 2017, Beijing, China, reviewed BibTeX
  46. 46. Wataru Shimoda*, Keiji Yanai, Predicting segmentation easiness from the consistency for weakly-supervised segmentation, Asian Conference on Pattern Recognition (ACPR), 2017, Nanjing, China, reviewed BibTeX
  47. 47. Takumi Ege*, Keiji Yanai, Estimating food calories for multiple-dish food photos, Asian Conference on Pattern Recognition (ACPR), 2017, Nanjing, China, reviewed# BibTeX
  48. 48. *Hikida T, Neuronal circuit mechanisms in reward and aversive behavior., Taiwan-Japan Biomedicine Conference NTHU-OU bilateral symposium 2017, 2017, invited BibTeX
  49. 49. *Masumori, A., Maruyama, N., Mita, T., Bakkum, D., Frey, U., Takahashi, H.,& Ikegami, T, Learning by Stimulation Avoidance in Cultured Neuronal Cells, The 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics(SWARM 2017), 2017, 京都, reviewed, oral BibTeX
  50. 50. *Maruyama, N., Hashimoto, Y., Mototake, Y., Saito, D., & Ikegami, T, Revisiting Classification of Large Scale Flocking, The 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics(SWARM 2017), 2017, 京都, reviewed BibTeX
  51. 51. *Hashimoto, Y., Ikegami, T, Novelty production in tagging crowds, The 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics(SWARM 2017), 2017, 京都, reviewed BibTeX
  52. 52. Tadahiro Taniguchi, Symbol Emergence in Robotics:Representation Learning for Real-world Communication and Collaboration, International Field Robotics Forum 2017, 2017, Seoul, Korea, keynote BibTeX
  53. 53. Tanno, T., Horie, K., Izawa, J. and Morita, M, Robustness of Selective Desensitization Perceptron Against Irrelevant and Partially Relevant Features in Pattern Classification, In International Conference on Neural Information Processing, 2017 BibTeX
  54. 54. *Reinke C, Uchibe E, Doya K, Average Reward Optimization with Multiple Discounting Reinforcement Learners, ICONIP (Lecture Notes in Computer Science), 2017, 2017.10.24, Guangzhou, China, oral BibTeX
  55. 55. Doya K, Artificial Intelligence and Brain Science, Seminar, 2017, 2017.10.19, Kyungpook National University, Daegu, Korea, seminar BibTeX
  56. 56. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, 2017, Sapporo, invited BibTeX
  57. 57. Takanori Uka, Neural mechanism of flexible sensory decision making, The 12th Biennial Conference of Chinese Neuroscience Society, 2017, Tianjin, CHINA, invited BibTeX
  58. 58. *Uchibe E, Deep inverse reinforcement learning, 3rd International Workshop on Intrinsically Motivated Open-ended learning, 2017, Rome, Italy, oral, invited BibTeX
  59. 59. Masamichi Sakagami, Dissociable functions of reward inference in the lateral prefrontal cortex and the striatum, The 44th Naito Conference on Decision Making in the Brain-Motivation, Prediction, and Learning, 2017, Sapporo, invited BibTeX
  60. 60. *Yoshizawa T, Ito M, Doya K, Coding of value information in the striatal striosome compartment, 44th Naito Conference, 2017, 2017.10.4, CHÂTERAISÉ Gateaux Kingdom SAPPORO, Japan, poster BibTeX
  61. 61. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control Pavlovian approach behaviour., The 44th Naito Conference, Decision Making in the Brain -Motivation, Prediction, and Learning, 2017, poster BibTeX
  62. 62. Ikegami, T, THE FUTURE OF AI IN THE ARTS , Japan Foundation Sydeny, 2017, Sydney, Australia, invited BibTeX
  63. 63. Takufumi Yanagisawa, BMI robotic hand controls phantom limb pain, Yamada Symposium 2017 on neuroimaging of natural behaviors, 2017, Ookayama, Japan, invited BibTeX
  64. 64. Takumi Ege*, Keiji Yanai, Image-based food calorie estimation using knowledge on food categories, ingredients and cooking directions, ACM Multimedia Thematic Workshops on Understanding, 2017, Mountain View, CA, USA, reviewed# BibTeX
  65. 65. Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, and Tetsunari Inamura, SpCoSLAM: Online Multimodal Place Categorization, Spatial Lexical Acquisition and Mapping by a Mobile Robot, 2nd Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics (ML-HLCR 2017), 2017, Vancouver, Canada, reviewed BibTeX
  66. 66. *Masashi HAMAYA, Takamitsu MATSUBARA, Tomoyuki NODA,Tatsuya TERAMAE,Jun MORIMOTO, User-robot collaborative excitation for PAM model identification in exoskeleton robots, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2017), 2017, Vancouver, Canada, reviewed# BibTeX
  67. 67. Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi and Tetsunari Inamura, Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017, Vancouver, Canada, reviewed BibTeX
  68. 68. Y. Miyuki, Y. Hagiwara, *T. Taniguchi, Unsupervised learning for spoken word production based on simultaneous word and phoneme discovery without transcribed data, IEEE International Conference on Development and Learning and the International Conference on Epigenetic Robotics (ICDL-EpiRob2017), 2017, Lisbon, Portugal, reviewed BibTeX
  69. 69. Y. Tada, Y. Hagiwara, *T. Taniguchi, Comparative study of feature extraction methods for direct word discovery with npb-daa from natural speech signals, IEEE International Conference on Development and Learning and the International Conference on Epigenetic Robotics (ICDL-EpiRob2017), 2017, Lisbon, Portugal, reviewed BibTeX
  70. 70. Hayakawa T, Fukai T, Interplay of microscopic and macroscopic dynamics in randomly connected neuronal networks. , Bernstein Conference 2017, 2017, Goettingen, Germany BibTeX
  71. 71. Inoue K, Pathway-selective manipulation of neural circuits, NIMH Workshop “Neural Circuits: Gaps and Opportunities”, 2017, Bethesda, USA, invited BibTeX
  72. 72. *Sinapayen, L., & Ikegami, T, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, 14th European Conference on Artificial Life(ECAL2017), 2017, Lyon, France, reviewed BibTeX
  73. 73. *Hiroki Kojima,Takashi Ikegami, VAEGAN as a New Perception Model, ECAL, Late-Breaking, 2017, Lyon, France, reviewed BibTeX
  74. 74. *Masumori, A., Sinapayen, L., & Ikegami, T, Learning by Stimulation Avoidance Scale to Large Neural Networks, 14th European Conference on Artificial Life, 14th European Conference on Artificial Life(ECAL2017), 2017, Lyon, France, reviewed, oral BibTeX
  75. 75. *Doi, I., Ikegami, T., Masumori, A., Kojima, H., Ogawa K., & Ishiguro, H, A new design principle for an autonomous robot, 14th European Conference on Artificial Life(ECAL2017), 2017, Lyon, France, reviewed, poster BibTeX
  76. 76. *Lana Sinapayen, Takashi Ikegami, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, Proc of the 14th European Conference on Artificial Life (ECAL2017), 2017, Lyon, France, oral BibTeX
  77. 77. *Nakahara H, Reinforcement learning with environmental structures and mind of others, The 11th International Conference on Cognitive Science (ICCS 2017), 2017, Taipei, Taiwan, oral, invited BibTeX
  78. 78. Akihiko Nikkuni, Yutaka Komura*, Self-evaluation in vision in monkeys and humans, ICCS, 2017, Taipei, Taiwan, invited BibTeX
  79. 79. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control attribution of incentive salience in an autoshaping task., EBPS Biennial meeting 2017, 2017, poster BibTeX
  80. 80. Takumi Ege*, Keiji Yanai, Comparison of two approaches for direct food calorie estimation, International Workshop on Multimedia Assisted Dietary Management (MADIMA), 2017, Catania, Italy, reviewed# BibTeX
  81. 81. Ikegami, T, Passive Touch, Stimulus Avoidance, and the Android “Alter”, International Society for Theoretical Psychology (2017/8/21-25), 2017, Tokyo, Japan, invited BibTeX
  82. 82. Doya K, Reinforcement learning: basic concepts and recent advances, Workshop on “Human & Machine Learning”, 2017, 2017.8.16-18, Beijing Institute of Technology, China, invited BibTeX
  83. 83. Doya K, Neural mechanisms of reinforcement learning and mental simulation, Workshop on “Human & Machine Learning”, 2017, 2017.8.16-18, Beijing Institute of Technology, China, invited BibTeX
  84. 84. T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, Magnetoencephalographic-based brain–machine interface robotic hand for controlling sensorimotor cortical plasticity and phantom limb pain, ECCN, 2017, Budapest, invited BibTeX
  85. 85. Mimura K, Sato C, Matsumoto J, Aoki I, Ichinohe N, Suhara T, *Minamimoto T, Atypical Behavioral and Neural Phenotypes in a Common Marmoset Model of Autism Spectrum Disorder, 2017, Yokohama, Japan, invited BibTeX
  86. 86. Doya K, Decoding the contents of mental simulation, Neuroscience 2017 Sattelite Symposium: Computational Principles of the Nervous System, 2017, 2017.7.24, University of Tokyo, Tokyo, invited BibTeX
  87. 87. Doya K, Neural coding, brain imaging and information extraction by circuit modeling, Neuroscience 2017 Sattelite Symposium / CREST Symposium, 2017, invited BibTeX
  88. 88. Asabuki T, Hiratani N, Fukai T, Chunking by mutual supervision in reservoir computing., Topical Problems of Nonlinear Wave Physics (NWP-2017) – Nonlinear Dynamics and Complexity (NWP-1), 2017, Moscow-St. Petersburg, Russia, invited BibTeX
  89. 89. Tohru Kurotani, Toshiki Tani, Kazuhisa Sakai, Naoto Kitamura, Hiroshi Abe, Misako Komatsu, Noritaka Ichinohe, Intrinsic functional connectivity in cortical area 24 of the common marmoset investigated by optical mapping, The 40nd Annual Meeting of the Japan Neuroscience Society, 2017, Chiba, poster BibTeX
  90. 90. Doya K, Exploring the deep brain network for reinforcement learning, Neuroscience 2017; 40th Annual Meeting of the Japan Neuroscience Society; Luncheon Seminar: From mouse to monkey: illuminating neural circuits in action, 2017, 2017.7.21, Makuhari Messe, Chiba, invited BibTeX
  91. 91. Misako Komatsu, Eriko Sugano, Noritaka Ichinohe, Hiroshi Tomita, Naotaka Fujii, Whole-cortical recordings reveal spreading photo-stimulation effects: A optogenetics study in marmosets, The 40nd Annual Meeting of the Japan Neuroscience Society, 2017, Chiba, poster BibTeX
  92. 92. Hamaguchi K, Tanaka M, *Mooney R, Brain cooling and intracellular recording in singing birds revealed distributed coding of song timing,, The 40th Annual Meeting of the Japan Neuroscience Society, 2017, Makuhari, Japan, poster BibTeX
  93. 93. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H., Neural processes for converting social value into one’s own decision value, The 40th Annual Meeting of the Japan Neuroscience Society, 2017, Ciba, Japan, poster BibTeX
  94. 94. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms of predicting others’ decisions for one’s better decisions, The 40th Annual Meeting of the Japan Neuroscience Society, 2017, Ciba, Japan, poster BibTeX
  95. 95. Tanaka S, Kawasaki K, Hasegawa I, Suzuki T, Kawato M and Sakagami M, Distribution of value related information in the multiple areas of the macaque prefrontal cortex, The 40th Annual Meeting of the Japan Neuroscience Society, 2017, Chiba BibTeX
  96. 96. *Tanaka K, Object recognition in inferotemporal cortex: from visual features to semantics, 2017, invited plenary lecture BibTeX
  97. 97. *Benucci A., Plasticity for stimulus selectivity in the visual cortex of adult mice induced by patterned optogenetic stimulation, Asia Pacific Conference on Vision, 2017, Tainan, Taiwan, Invited talk BibTeX
  98. 98. *Uchibe E, Doya K, Model-free deep inverse reinforcement learning by logistic regression, Proc. of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making, 2017, reviewed# BibTeX
  99. 99. Doya K, What should we further learn from the brain?, Brain-AI Workshop, 2017, 2017.7.7, NYU Shanghai, Shanghai, China, invited BibTeX
  100. 100. *Nakahara H, Learning to make reward-guided decisions: sequential, successive, and social, 2017 Brain-AI Workshop, 2017, Shanghai, China, oral, invited BibTeX
  101. 101. Doya K, What should we further learn from the brain?, Korean AI Flagship Project Workshop, 2017, 2017.7.3, Kyungpook National University, Daegu, Korea, invited BibTeX
  102. 102. *Tanaka K, Object recognition in inferotemporal cortex: from visual features to semantics, 2017, invited plenary lecture BibTeX
  103. 103. *M. Shirasuna, H. Honda, T. Matsuka, K. Ueda, Familiarity-matching in decision making: experimental studies on cognitive processes and analyses of its ecological rationality, the 39th Annual Conference of the Cognitive Science Society(COGSCI2017), 2017, London, UK, reviewed BibTeX
  104. 104. *H. Honda, T. Matsuka, K. Ueda, Decisions based on verbal probabilities: decision bias or decision by sampling?, the 39th Annual Conference of the Cognitive Science Society(COGSCI2017), 2017, London, UK, reviewed BibTeX
  105. 105. Shin Matsuo, Wataru Shimoda*, Keiji Yanai, Partial style transfer using weakly-supervised semantic segmentation, ICME Workshop on Multimedia Artworks Analysis (MMArt), 2017, Hong Kong, reviewed BibTeX
  106. 106. Inoue K, Fujiwara M, Uezono S, Tanabe S, Ishida H, Hoshi E, Takada M, Organization of multisynaptic inputs from the basal ganglia to the premotor cortex in macaque monkeys – Retrograde transneuronal dual tracing using rabies viral vectors., Cold Spring Harbor Asia Conference: Primate Neuroscience, 2017, 蘇州市, 中華人民共和国, poster BibTeX
  107. 107. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control incentive salience to reward-predictive cues., IBNS2017, 2017, invited BibTeX
  108. 108. *Hikida T, Morita M, Macpherson T, D2L receptor-expressing striatal neurons control visual discrimination learning in a touchscreen operant system., IBNS2017, 2017, oral BibTeX
  109. 109. Ishida H, Inoue K, Hoshi E, Takada M, Cells of origin of multisynaptic projections from amygdala to ventral premotor cortex in macaques, Different elements of Primate Neural Networks in the Connectome Era, 2017, Sicily, Italy, poster BibTeX
  110. 110. Masamichi Sakagami, Categorical coding of stimulus and inference of the value in the monkey lateral prefrontal cortex, Max Pranck Institute Germany招聘講演, 2017, Germany, invited BibTeX
  111. 111. Shinomoto S, Inferring the source of fluctuation in neuronal activity, ICERM on Integrating Dynamics and Statistics in Neuroscience (2017/6/19-8/11), 2017, Providence, USA, invited BibTeX
  112. 112. *Reinke C, Uchibe E, Doya K, Fast Adaptation of Behavior to Changing Goals with a Gamma Ensemble, 3rd Multidisciplinary conference on reinforcement learning and decision making, 2017, 2017.6.12, University of Michigan, Ann Arbor, Michigan, USA, poster BibTeX
  113. 113. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for social value conversion in decision-making, 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2017), 2017, Michigan, USA, poster BibTeX
  114. 114. *Koji ISHIHARA,Jun-ichiro FURUKAWA,Jun MORIMOTO, A forward and inverse optimal control framework to generate humanoid robot movements with hierarchical MPC, 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making(RLDM2017), 2017, Michigan, USA, reviewed# BibTeX
  115. 115. Tadahiro Taniguchi, Semantic Segmentation of Driving Behavior Data: Double Articulation Analyzer and its Application, The 4th Workshop on Naturalistic Driving Data Analytics, IEEE Intelligent Vehicle 2017 (IV2017), 2017, California, USA, invited BibTeX
  116. 116. Keiji Yanai*, Ryosuke Tanno, Conditional fast style transfer network, ACM International Conference on Multimedia Retrieval (ICMR), 2017, Bucharest, Romania, reviewed BibTeX
  117. 117. *Masashi HAMAYA, Takamitsu MATSUBARA, Tomoyuki NODA,Tatsuya TERAMAE,Jun MORIMOTO, Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning, IEEE International Conference on Robotics and Automation(ICRA2017), 2017, Singapore, reviewed# BibTeX
  118. 118. Mimura K, Nakagaki K, *Ichinohe N, Distrbed Vocal Communication in Common Marmoset Family with an Autism-Model Child, 2017, St. Petersburg, Russia, invited BibTeX
  119. 119. *Nakahara H, Neural computations underlying social decision-making, The Seventh International Symposium on “Biology of Decision Making” (SBDM 2017), 2017, Bordeaux, France, oral, invited BibTeX
  120. 120. Masamichi Sakagami, Categorical Coding of Stimulus and Inference of the Value in the Monkey Lateral Prefrontal Cortex, Joint Workshop on AI and Neuroscience, 2017, England BibTeX
  121. 121. Tadahiro Taniguchi, Symbol Emergence in Robotics: Language Acquisition via Real-world Sensorimotor Information, Gatsby-Kaken Joint Workshop on AI and Neuroscience, 2017, London, UK, invited BibTeX
  122. 122. *Nakahara H, Learning to make reward-guided decisions: sequential, successive, and social, Gatsby-Kaken Joint Workshop on AI and Neuroscience, 2017, London, Britain, oral, invited BibTeX
  123. 123. Hidehiko Takahashi, The interface between AI and psychiatry (schizophrenia) research, Gatsby-Kaken Joint Workshop on AI and Neuroscience, 2017, London, UK, invited BibTeX
  124. 124. Takumi Ege*, Keiji Yanai, Simultaneous estimation of food categories and calories with multi-task CNN, IAPR International Conference on Machine Vision Applications (MVA), 2017, Nagoya, Japan, reviewed BibTeX
  125. 125. *Waggoner RA, Ueno K, Pfeuffer J, Tanaka K, Cheng K, High-resolution fMRI of the visual system at 3T using zoomed excitation via Tx-SENSE, 2017, reviewed poster BibTeX
  126. 126. *Gupta S, Waggoner RA, Tanaka K, Cheng K, Variation of RF-induced temperature increase in a phantom: comparison of numerical simulations, MR thermometry and measurements from temperature sensors, 2017, reviewed poster BibTeX
  127. 127. Haga T, Fukai T, Dendritic computing gives a meso-scopic level framework of brain’s leaning rule. , Forum on Cognitive Neuroscience in Hangzhou, 2017, Hangzhou, China, invited BibTeX
  128. 128. Masamichi Sakagami, The reward prediction error signal of midbrain dopamine neuron is modulated by the cost paid for the reward, The Forum on Cognitive Neuroscience Frontier, 2017, China, invited BibTeX
  129. 129. J. Chikazoe, Integrated Taste Type Representations in Human Insula, 2017 Yonsei Univ-Korea Univ-NIPS Symposium, 2017, Seoul, oral BibTeX
  130. 130. T. Yoshimoto, J. Chikazoe, S. Okazaki, M. Sumiya, H. K. Takahashi, E. Nakagawa, T. Koike, R. Kitada, S. Okamoto, M. Nakata, H, Kosaka, T. Yada, N. Sadato, State-dependent and -independent representations of food revealed by multi voxel pattern analysis, 2017 Yonsei Univ-Korea Univ-NIPS Symposium, 2017, Seoul, poster BibTeX
  131. 131. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, Naito Coference, 2017, Sapporo, Japan, invited BibTeX
  132. 132. Keiji Yanai*, Unseen style transfer based on a conditional fast style transfer network, International Conference on Learning Representation Workshop Track (ICLR WS), 2017, Toulon, France, reviewed BibTeX
  133. 133. Shin Matsuo, Wataru Shimoda*, Keiji Yanai, Twitter photo geo-localization using both textual and visual features, International Conference on Multimedia Big Data (BIGMM), 2017, Laguna Hills, CA, USA, reviewed BibTeX
  134. 134. Wataru Shimoda*, Keiji Yanai, Learning food image similarity for food image retrieval, International Conference on Multimedia Big Data (BIGMM), 2017, Laguna Hills, CA, USA, reviewed BibTeX
  135. 135. Doya K, Coding of action and state values in the striatal compartments, 12th International Basal Ganglia Society Meeting – IBAGS 2017, 2017, 2017.3.29, Merida, Mexico, invited BibTeX
  136. 136. *Tanaka K, Changes in deoxygenation level of bloods and cortical tissues following neuronal activity changes as the bases for intrinsic optical recordings and fMRI, 2017, invited oral BibTeX
  137. 137. Shinomoto S, Emergence of cascades in the linear and nonlinear Hawkes processes, Brain Dynamics and Statistics: Simulation versus Data (2017/2/26-3/3), 2017, Banff, Canada, invited BibTeX

Domestic Conference

  1. 1. 栁澤琢史, Brain-Machine Interfaceによる幻肢痛治療, Interstellar研究交流会, 2017 BibTeX
  2. 2. 松本有紀子., 統合失調症における脳内意味表象異常の可視化と定量, 2017 BibTeX
  3. 3. *Zobnin S, Li Y, Doya K, Experimental investigation of hierarchical Bayesian inference in sensory and motor cortices, 新学術領域研究「人工知能と脳科学」第3回領域会議, 2017 BibTeX
  4. 4. Frandi E. *Benucci A., Modeling responses to visual stimuli in the mouse cortex with recurrent neural networks, 2017 BibTeX
  5. 5. 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, 日本学術振興会 光電相互変換第125委員会 第239回研究会 「光技術が切り開く新しいバイオサイエンス・テクノロジー」, 2017 BibTeX
  6. 6. *森本淳, ヒト型ロボットの運動学習とヒトの運動支援戦略, 難環境作業スマート機械技術研究センター第4回シンポジウム, 2017 BibTeX
  7. 7. 仁科国之・高岸治人・井上-村山美穂・高橋英彦・坂上雅道・山岸俊男, 向社会的行動の遺伝的基盤, 日本人間行動進化学会第10回大会, 2017 BibTeX
  8. 8. 松本淳平, 西丸広史, 高村雄策, 三村喬生, 浅場明莉, 鈴木航, 一戸紀孝, 南本敬史, 小野武年, 西条寿夫*, げっ歯類とサルのためのオープンソース３次元ビデオ行動解析システムの開発と神経科学への応用, 2017年度生命科学系学会合同年次大会, 2017 BibTeX
  9. 9. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療法の開発, 第17回CRPS研究会, 2017 BibTeX
  10. 10. 會下拓実*， 丹野良介， 柳井啓司, CNNによる複数品食事画像の同時カロリー推定とそのモバイル実装, 電子情報通信学会 食メディア研究会 (CEA), 2017 BibTeX
  11. 11. 仁科国之・高岸治人・井上-村山美穂・高橋英彦・坂上雅道・山岸俊男, アルギニンバソプレシン受容体遺伝子と向社会的行動の関連, 第7回社会神経科学研究会, 2017 BibTeX
  12. 12. Ishida H, Inoue K, Hoshi E, Takada M, Cells of origin of multisynaptic projections from amygdala to ventral premotor cortex in macaques , 2017 BibTeX
  13. 13. 栁澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, MEGによる皮質可塑性障害の評価と制御, 第28回小児脳機能研究会（臨床神経生理学会）, 2017 BibTeX
  14. 14. 山下 祐一, 認知（障害）原理を検証する神経回路モデルの開発と評価, 日本発達神経科学学会第6回学術集会, 2017 BibTeX
  15. 15. *小津野将, 内部英治, 銅谷賢治, ギャップ増強を利用した頑健かつ効率的なoff-policy policy evaluation, 第20回情報論的学習理論ワークショップ, 2017 BibTeX
  16. 16. 栁澤琢史, 脳波のリズム異常と制御, ASCONE2017, 2017 BibTeX
  17. 17. 栁澤琢史、荒木俊彦、福間良平、小林真紀、押野悟、吉峰俊樹、貴島晴彦, 脳磁図による側頭葉てんかんのネットワーク解析, てんかん学会, 2017 BibTeX
  18. 18. *相良陸成，谷志翔，田口亮，服部公央亮，保黒政大，梅崎太造, 発話を入力とした相対位置概念の学習, 計測自動制御学会 システム・情報部門 学術講演会, 2017 BibTeX
  19. 19. 銅谷賢治, 脳内シミュレーションの神経機構, 第32回日本整形外科学会基礎学術集会, 2017 BibTeX
  20. 20. *小口峰樹, 人工知能と生物知能――深層学習から神経科学への寄与, 科学基礎論学会2017年度秋の研究例会, 2017 BibTeX
  21. 21. Takufumi Yanagisawa, Ryohei Fukuma, Kotaro Edakawa, Hideki Okada, Toshihiko Araki, Satoru Oshino, Maki Kobayashi, Masataka Tanaka, Shyota Yamamoto, Toshiki Yoshimine, Tatsuya Harada, Haruhiko Kishima, Development of an epilepsy diagnostic tool using artificial intelligence and cross-frequency coupling, 脳神経外科学会総会, 2017 BibTeX
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  23. 23. Ueda Hiroshi, Abekawa Naotoshi, Gomi Hiroaki, Temporal integration of sensory evidence for position representation of a moving object containing motion signal in perceptual and motor decision making, The 44th Naito Conference, 2018 BibTeX
  24. 24. 丹野 良介*， 泉 裕貴， 柳井 啓司, CoreMLによるiOS深層学習アプリの実装と性能分析, 電子情報通信学会 パターン認識・メディア理解研究会（PRMU）, 2017 BibTeX
  25. 25. 會下 拓実*， 柳井 啓司, CNNによる複数料理写真からの同時カロリー量推定, 電子情報通信学会 パターン認識・メディア理解研究会（PRMU）, 2017 BibTeX
  26. 26. *疋田貴俊, 意思決定と薬物依存における大脳基底核神経回路機構, 第39回日本生物学的精神医学会, 2017 BibTeX
  27. 27. *松本正幸, 黒質－線条体ドーパミン神経路が行動抑制に果たす役割, 日本生物学的精神医学会, 2017 BibTeX
  28. 28. *疋田貴俊, 認知学習と精神疾患における神経回路機構, 第47回 日本神経精神薬理学会, 2017 BibTeX
  29. 29. *平山 淳一郎, Aapo Hyvärinen, 小川 剛史, 守谷 大樹, 川鍋 一晃, 積層独立成分分析(SPLICE)による神経科学データ解析, 第27回日本神経回路学会全国大会(JNNS2017), 2017 BibTeX
  30. 30. *Hikida T, Dual neural circuits in reward and aversive learning, 第27回神経回路学会, 2017 BibTeX
  31. 31. *内部英治, ディープNNによる順・逆強化学習, 第27回日本神経回路学会全国大会 (JNNS 2017), 2017 BibTeX
  32. 32. 銅谷賢治, 「脳内シミュレーション」の神経回路を可視化する, 新適塾「脳はおもしろい」第18回会合, 2017 BibTeX
  33. 33. *Haruhana K, Suzuki C, Waggoner RA, Tanaka K, Ueno K, Optimization of Data Acquisition and Processing for the Macaque Brain 3D MPRAGE using a human Whole-Body 3T MRI System, 第45回日本磁気共鳴医学会大会, 2017 BibTeX
  34. 34. *Ueno K, Suzuki C, Haruhana K, Tanaka K, Optimization of head motion parameter regression procedure in the data preprocessing for fMRI studies, 第45回日本磁気共鳴医学会大会, 2017 BibTeX
  35. 35. *Gupta S, Cheng K, Tanaka K, Waggoner RA, RF-induced temperature increase in a phantom: comparison of numerical simulations, MR Thermometry and temperature sensor measurements, 第45回日本磁気共鳴医学会大会, 2017 BibTeX
  36. 36. *春花健児、鈴木千里、田中啓治、上野賢一, ヒト全身用３テスラMRI装置によるマカクザル脳の撮像と画像処理の最適化, 第45回日本磁気共鳴医学会大会, 2017 BibTeX
  37. 37. *杉原智也， 劉海龍， 竹中一仁， 三澤秀明， 坂東誉司， 谷口忠大, Sequence to Sequenceモデルを用いた運転行動予測, 第35回日本ロボット学会学術講演会（RSJ2017）, 2017 BibTeX
  38. 38. *白砂大，本田秀仁，松香敏彦，植田一博, なじみ深さ, 知識 ~統計モデルによる推論プロセスの検証~, 日本認知科学第34回大会, 2017 BibTeX
  39. 39. *大貫祐大郎，本田秀仁，松香敏彦，植田一博, 異なる評価法によるリスク態度の変化：意思決定者の信念推定に基づく認知プロセスの分析, 日本認知科学第34回大会, 2017 BibTeX
  40. 40. *橋本さゆり，小林一郎, 深層強化学習を用いた三重倒立振子の制御に関する一考察, 第33回ファジィシステムシンポジウム, 2017 BibTeX
  41. 41. 日高 侑也、林 昌宏、伊藤 睦代、朴 天鍋、君付 和範、井上 謙一、小林 由紀、伊藤 琢也, 狂犬病ウイルスゲノムの分節化, 第160回日本獣医学会学術集会, 2017 BibTeX
  42. 42. *谷口忠大, 記号創発ロボティクスのアプローチ 赤ちゃんの言語獲得の構成論モデルに向けて, 日本赤ちゃん学会 若手部会 第5回研究合宿, 2017 BibTeX
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  44. 44. *春花健児、鈴木千里、田中啓治、上野賢一, ヒトfMRI撮像における被験者状態監視システムの構築, 第1回ヒト脳イメージング研究会, 2017 BibTeX
  45. 45. *上野賢一、松田圭司、春花健児、鈴木千里、田中啓治, ヒトfMRI研究のための被験者眼球運動計測システムの構築, 第1回ヒト脳イメージング研究会, 2017 BibTeX
  46. 46. *橋本さゆり，小林一郎, 深層強化学習を用いた動作制御への基礎的検討, 第31回人工知能学会全国大会, 2017 BibTeX
  47. 47. *谷志翔，加藤有祐，田口亮，服部公央亮，保黒政大，梅崎太造, MCMCサンプリングによる相対位置概念の学習, 第35回日本ロボット学会学術講演会（RSJ2017）, 2017 BibTeX
  48. 48. Yukiko Matsumoto, Shuraku Son, Akio Murakami, Satoshi Nishida, Shinji Nishimoto, Hidehiko Takahashi., Abnormal semantic representation in the brains of schizophrenia patients., 2017 BibTeX
  49. 49. 會下拓実*， 柳井啓司, 食事画像カロリー量推定における回帰による手法と検索による手法の比較, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), 2017 BibTeX
  50. 50. 下田 和*， 柳井 啓司, 完全教師あり学習手法を用いた弱教師あり領域分割におけるシード領域生成方法の改良, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), 2017 BibTeX
  51. 51. *谷口忠大, 記号創発ロボティクスが目指すAGI～表現(表象)学習を超えて～, 第２回全脳アーキテクチャシンポジウム, 2017 BibTeX
  52. 52. 高椋 慎也, 永澤 知幸,五味 裕章, オプティックフローによる歩行速度調節の恒常性, モーターコントロール研究会, 2017 BibTeX
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  55. 55. 深井朋樹, 外界をモデル化する脳の回路メカニズム ―海馬と大脳皮質, 第54回 脳科学ライフサポート研究センターセミナー, 2017 BibTeX
  56. 56. 下田 和*， 柳井 啓司, 弱教師あり領域分割のための一貫性に基づく学習画像の領域分割容易性推定, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  57. 57. 松尾 真*， 下田 和， 柳井 啓司, 画像スタイル変換とWeb画像を用いた画像の任意質感生成, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  58. 58. 會下 拓実*， 柳井 啓司, Multi-task CNNを用いた食材および調理手順情報を利用した食事画像カロリー量推定, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  59. 59. 長野 哲也*， 會下 拓実， 柳井 啓司, Twitter画像に対する地域別画像タイプの大規模分析, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  60. 60. 成沢 淳史*， 柳井 啓司, Neural Style TransferとCycle GANを利用したフォント変換, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  61. 61. 伊藤 祥文*， Jaehyeong Cho， 柳井 啓司, Conditional GAN を用いた複数詳細カテゴリ画像の合成, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
  62. 62. 丹野 良介*， 泉 裕貴， 柳井 啓司, ConvDeconvNetの効率的モバイル実装による 画像変換・物体検出・領域分割リアルタイムiOSアプリ群, 画像の認識・理解シンポジウム(MIRU), 2017 BibTeX
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  64. 64. Doya K, Neural coding, brain imaging and information extraction by circuit modeling, Neuroscience 2017 Sattelite Symposium / CREST Symposium, 2017 BibTeX
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  66. 66. Uezono S, Tsuge H, Tanabe S, Fujiwara M, Nagaya N, Nagaya K, Inoue K, Takada M, Organization of multisynaptic inputs from the basal ganglia and cerebellum to the cingulate cortex in common marmosets as revealed by retrograde transneuronal labeling with rabies virus., 2017 BibTeX
  67. 67. *Lam AM, Tanskanen T, Kao CHT, Kuno Y, Tanaka K, Cheng K, Reconstructing perceived faces from human brain activity, 日本神経科学学会第40回大会, 2017 BibTeX
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  71. 71. Inoue K, Fujiwara M, Uezono S, Tanabe S, Tsuge H, Nagaya N, Nagaya K, Ishida H, Hoshi E, Takada M, Organization of multisynaptic inputs from the basal ganglia to the dorsal and ventral premotor cortices in macaque monkeys: retrograde transneuronal dual tracing with fluorescent rabies viral vectors., 2017 BibTeX
  72. 72. Yutaka Komura*, The primate model with metacognitive ability and disability, JNS, 2017 BibTeX
  73. 73. *鈴木真介, 価値とリスク評価の神経基盤：その基礎と社会的伝染, 第40回日本神経科学大会, 2017 BibTeX
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  75. 75. *Waggoner RA, An overview of high-resolution fMRI studies at RIKEN-BSI from V1 to the temporal lobe, 第40回日本神経科学大会, 2017 BibTeX
  76. 76. *Tanskanen T, Kao CHT, Waggoner RA, Ueno K, Tanaka K, Cheng K, Category tuning in the human face selective areas assessed with high0resolution fMRI., 第40回日本神経科学大会, 2017 BibTeX
  77. 77. 高椋慎也，永澤知幸，五味裕章 , オプティックフローに基づく歩行速度調節は距離推定に依存する, 第40回 日本神経科学大会, 2017 BibTeX
  78. 78. 安部川 直稔，五味 裕章, 姿勢環境に応じて修飾される反射性視覚腕応答第40回 日本神経科学大, 第40回 日本神経科学大会, 2017 BibTeX
  79. 79. 伊藤　翔, 五味　裕章, Impact of adaptation to mirror-reversed visual feedback on modulation of long-latency stretch reflex , 第40回 日本神経科学大会, 2017 BibTeX
  80. 80. Takaya Ogasawara, Masahiko Takada, *Masayuki Matsumoto, Primate dopamine neurons in the substantia nigra transmit a stop signal to the caudate nucleus during the performance of a saccadic countermanding task, 第４0回日本神経科学大会, 2017 BibTeX
  81. 81. *Masayuki Matsumoto, Nigrostriatal dopamine signals regulate response inhibition, 第４0回日本神経科学大会, 2017 BibTeX
  82. 82. *Hikida T, Basal ganglia circuit mechanisms for flexible behavio, 第40回日本神経科学大会, 2017 BibTeX
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  84. 84. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh, Induction of sensorimotor plasticity altered pain in phantom limb patients with instructions to not move the phantom hand, 2017 BibTeX
  85. 85. 銅谷賢治, 大脳基底核の機能モデル・病態モデルと実験的検証, 第32回 日本大脳基底核研究会 (JBAGS2017), 2017 BibTeX
  86. 86. 高橋　英彦, 人工知能と統合失調症研究の接点., 2017 BibTeX
  87. 87. 上園 志織、田辺 創思、藤原 真紀、柘植 仁美、中村 克樹、井上 謙一、高田 昌彦, マーモセットにおける大脳基底核から帯状皮質への多シナプス性入力様式, 2017 BibTeX
  88. 88. 山下 祐一、片平 健太郎, 研究領域基準（RDoC）は有効か？ 計算モデルによる精神医学研究ストラテジー評価方法の提案, 第113回日本精神神経学会学術総会, 2017 BibTeX
  89. 89. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, 皮質可塑性の制御による幻肢痛の病態解明と治療, 日本疼痛学会 シンポジウム「痛みと脳」研究の最前線, 2017 BibTeX
  90. 90. *本田秀仁，白砂大，松香敏彦，植田一博, フレーム選択における意図と潜在的処理, 日本認知心理学会第15回大会, 2017 BibTeX
  91. 91. *白砂大，本田秀仁，松香敏彦，植田一博, なじみ深さのマッチング: familiarityの類似性に基づく選択, 日本認知心理学会第15回大会, 2017 BibTeX
  92. 92. *夛田 裕貴， 幸 優佑，林 楓，萩原 良信，谷口 忠大, ノンパラメトリックベイス二重分節解析器のTIDIGITSコーパスへの適用, 2017年度 人工知能学会全国大会（第31回）（JSAI2017), 2017 BibTeX
  93. 93. 丹野良介*， 下田和， 柳井啓司, 複数スタイルの融合と部分的適用を可能とする Multi-style Feed-forward Network の提案, 人工知能学会全国大会, 2017 BibTeX
  94. 94. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療, 第25回東京臨床脳画像解析研究会 特別講演１ 「, 2017 BibTeX
  95. 95. 小島 大樹, 土井 樹, 池上 高志, DCGANの作る仮想世界と現実空間のMap, 人工知能学会全国大会2017, 2017 BibTeX
  96. 96. シナパヤ ラナ, 池上 高志, Video Compression with a Predictive Neural Network, 人工知能学会全国大会2017, 2017 BibTeX
  97. 97. *那須野 薫，松尾 豊, 深層強化学習におけるオフライン事前学習法, 人工知能学会全国大会2017, 2017 BibTeX
  98. 98. *冨山 翔司，味曽野 雅史，鈴木 雅大，中山 浩太郎，松尾 豊, 画像とテキストの潜在的な意味情報を用いたニューラル翻訳モデルの提案, 人工知能学会全国大会2017, 2017 BibTeX
  99. 99. *松尾 豊, ディープラーニングと進化, 人工知能学会全国大会2017, 2017 BibTeX
  100. 100. *谷志翔， 田口亮， 服部公央亮， 保黒政大， 梅崎太造, 三次元空間における相対位置概念の学習, 2017年度 人工知能学会全国大会（第31回）（JSAI2018), 2017 BibTeX
  101. 101. 會下拓実*， 柳井啓司, 食事レシピ情報を利用した食事画像からのカロリー量推定, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), 2017 BibTeX
  102. 102. 松尾真*， 下田和， 柳井啓司, 画像スタイル変換とWeb 画像を用いた画像の任意質感生成, 人工知能学会全国大会, 2017 BibTeX
  103. 103. *疋田貴俊, 柔軟な行動のための大脳基底核神経回路の恒常性維持機構とその破綻, 第90回日本薬理学会, 2017 BibTeX
  104. 104. *橋本さゆり、小林一郎, 深層強化学習を用いた動作制御に関する一考察, 情報処理学会第79回全国大会, 2016 BibTeX
  105. 105. 野匡隼，中村友昭，長井隆行，持橋大地，小林一郎，金子正秀*, 階層ディリクレ過程による動作クラス数推定を導入したGP-HSMMによる連続動作からの基本動作抽出, 情報処理学会 第80回全国大会, 2017 BibTeX
  106. 106. 松本有紀子、孫樹洛、村上晶郎、西田知史、 西本伸志、高橋英彦, 高次視覚野応答のエン コーディングによる統合失調症の脳内意味 表象異常の評価., 2017 BibTeX
  107. 107. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹, MEG Neurofeedbackによる幻肢痛治療, 第19回日本ヒューマンブレインマッピング学会, 2017 BibTeX
  108. 108. *Waggoner RA, Tanskanen T, Tanaka K, Cheng K, Impact of multi-band EPI on serial autocorrelations, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 1st Scientific Meeting, 2017 BibTeX
  109. 109. *Gupta S, Waggoner RA, Tanaka K, Cheng K, Size and Position of load affects the mutual coupling between the elements of array coil, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 1st Scientific Meeting, 2017 BibTeX
  110. 110. *Gupta S, Waggoner RA, Tanaka K, Cheng K, Comparison of temperature increase in a phantom, calculated by the numerical simulations, measured by the MR thermometry and by the temperature sensors, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 1st Scientific Meeting, 2017 BibTeX
  111. 111. *疋田貴俊, 認知学習におけるドーパミンD2L受容体の役割解析, 新潟脳神経研究会, 2017 BibTeX
  112. 112. 坂上雅道, 意思決定にかかわる２つの神経回路とその相互作用, 国際高等研究プロジェクト「精神発達障害から考察するdecision makingの分子的基盤」2016年度第1回研究会, 2017 BibTeX
  113. 113. 柳澤琢史、福間良平、Ben Seymour、細見晃一、清水豪士、貴島晴彦、平田雅之、横井浩史、吉峰俊樹、神谷之康、齋藤洋一, BMIによる幻肢痛の病態解明と新たな治療法開発, 第５６回日本定位・機能神経外科学会, 2017 BibTeX
  114. 114. 栁澤琢史、平岡寿公、小林真紀、福間良平、荒木俊彦、押野悟、吉峰俊樹、貴島晴彦, 側頭葉てんかんにおける発作間欠期てんかん性活動のネットワーク, 日本てんかん外科学会, 2017 BibTeX
  115. 115. Sho Ito, Hiroaki Gomi, Impact of changes in visual feedback on long-latency stretch reflex during visually guided movement, 第16回 脳と心のメカニズム 冬のワークショップ, 2017 BibTeX
  116. 116. Takamuku S, Forbes P, Hamilton A, Gomi H , Inverse dynamics computation in adults with autism – Examination based on perceptual biases., 第16回 脳と心のメカニズム 冬のワークショップ, 2017 BibTeX
  117. 117. 福田 玄明, Ning Ma, 鈴木 真介, 原澤 寛浩, 上野 賢一, Gardner Justin L, 一戸 紀孝, 春野 雅彦, Cheng Kang, *中原 裕之, Neural mechanisms and computation that mediates value by others’ reward for decision making, 脳と心のメカニズム 第17回冬のワークショップ脳の感覚情報処理 ―データマイニングと計算モデル―, 2017 BibTeX
  118. 118. Ning Ma, 原澤 寛浩, 上野 賢一, 一戸 紀孝, 春野 雅彦, Cheng Kang, *中原 裕之, Neural mechanisms for deciding with predicting others, 脳と心のメカニズム 第17回冬のワークショップ脳の感覚情報処理 ―データマイニングと計算モデル―, 2017 BibTeX

Book

  1. 1. J Chikazoe, S Konishi, Chapter “Functional Neuroimaging Approaches to Human Memory” in book: Memory in a Social Context, Springer, 2017 BibTeX
  2. 2. 谷口忠大, 그림과 수식으로 배우는 통통 인공지능, Jpub, 2017, 「イラストで学ぶ人工知能概論」韓国語訳 BibTeX
  3. 3. 谷口忠大, 人工知能は言語を獲得できるか, 世界思想社, 2017 BibTeX
  4. 4. Keiji Tanaka, Mark J. Buckley, and Farshad A. Mansouri, Functional division among prefrontal cortical areas in an analog of Wisconsin Card Sorting Test, Prefrontal Cortex as an Executive, Emotional, and Social Brain, Springer, 2017, Book chapter BibTeX

Prize

  1. 1. 鈴木 雅大,松尾豊, 異なるモダリティ間の双方向生成のための深層生成モデル, 情報処理学会2018年度論文賞, 2017 BibTeX
  2. 2. 栁澤琢史, 異能vationジェネレーションアワード企業特別賞, 2017 BibTeX
  3. 3. Chris Reinke (Doya Unit), Average Reward Optimization with Multiple Discounting, 24th International Conference on Neural Information Processing (ICONIP 2017), Best Student Paper Award, 2017 BibTeX
  4. 4. Atsushi Masumori (Ikegami Lab), Learning by Stimulation Avoidance in Cultured Neuronal Cells, Proc of the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2017) Best paper award, 2017 BibTeX
  5. 5. 栁澤琢史, バイオインダストリー奨励賞, 2017 BibTeX
  6. 6. 疋田貴俊, 日本神経精神薬理学会第6回学術奨励賞, 日本神経精神薬理学会, 2017 BibTeX
  7. 7. 『Alter』制作チーム（代表：石黒 浩／池上 高志）, Alter, 文化庁メディア芸術祭アート部門優秀賞, 2017 BibTeX
  8. 8. Takufumi Yanagisawa, BCI award, 2017 BibTeX
  9. 9. 丹野 良介, 泉 裕貴, 柳井 啓司, ConvDeconvNetの効率的モバイル実装による 画像変換・物体検出・領域分割リアルタイムiOSアプリ群, 画像の認識・理解シンポジウム（MIRU） MIRUデモ発表賞, 2017 BibTeX
  10. 10. Ryosuke Tanno, Keiji Yanai, Unseen Style Transfer Network, 画像の認識・理解シンポジウム（MIRU） MIRUインタラクティブ発表賞, 2017 BibTeX
  11. 11. Makoto Hayase, Poster Award of 13th NeuroPsychoEconomics Conference, 2017 BibTeX
  12. 12. Ri-one and Duckers （谷口Lab), Ri-one and Duckers, 3rd Place, RoboCup Japan Open 2017, @Home Education League, Aichi, 2017 BibTeX
  13. 13. Duckers （谷口Lab), Duckers, 3rd Place, RoboCup Japan Open 2017, @Home Simulation League, Aichi, 2017 BibTeX
  14. 14. 鈴木真介, 2017年度 平成29年度科学技術分野の文部科学大臣表彰・若手科学者賞, 2017 BibTeX
  15. 15. 松本正幸, 茨城県科学技術振興財団 つくば奨励賞, 2017 BibTeX
  16. 16. 小林 亮太, CCS研究会 奨励賞, 2017 BibTeX
  17. 17. 五味裕章, 電子情報通信学会 フェロー, 2017 BibTeX
  18. 18. Gupta S (Tanaka K Lab), Comparison of Temperature Increase in Phantom, Calculated by Numerical Simulations, Measured by the MR Thermometry and by Temperature Sensors, Outstanding Poster, 2017, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter BibTeX
  19. 19. Takufumi Yanagisawa, 中谷賞奨励賞, 2017 BibTeX

Press Release

  1. 1. Andrea Benucci (Lauren Davis), When the cat’s away, the mice will train, Lab+Life Scientist, 2017, http://www.labonline.com.au/content/computing-hardware-software/article/when-the-cat-s-away-the-mice-will-train-965389062 BibTeX
  2. 2. Tadahiro Taniguchi, 赤ちゃんと同じように自ら言語を獲得するロボットをつくる, 真宗大谷派宗務所, 2017, 国内,雑誌 BibTeX
  3. 3. 山岸俊男,坂上雅道,高岸治人,李楊 元,松本良恵,Alan Fermin,清成透子,金井良太（学校法人玉川学園HP）, 2017 BibTeX
  4. 4. , AIについて, SBC Radio(Australia), 2017 BibTeX
  5. 5. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, RIKEN, 2017, https://www.riken.jp/en/news_pubs/research_news/pr/2017/20171030_1/index.html BibTeX
  6. 6. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, MedicalXpress, 2017, https://medicalxpress.com/news/2017-10-neuroscience-fast-lane.html BibTeX
  7. 7. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, Science Newsline, 2017, http://www.sciencenewsline.com/news/2017103014510015.html BibTeX
  8. 8. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, ALN magazine, 2017, https://www.alnmag.com/news/2017/10/moving-neuroscience-fast-lane BibTeX
  9. 9. Andrea Benucci (RIKEN press), Moving neuroscience into the fast lane, EurekAlert, 2017, https://www.eurekalert.org/pub_releases/2017-10/r-mni102717.php BibTeX
  10. 10. Tadahiro Taniguchi, 国際フィールドロボットフォーラム]①日本とオーストラリアの人工知能ロボットの研究, 韓国ロボット新聞, 2017, 海外,新聞 BibTeX
  11. 11. Shinsuke Suzuki, YAHOO!JAPANニュース, 2017, https://news.yahoo.co.jp/byline/ishidamasahiko/20171024-00077291/ BibTeX
  12. 12. Shinsuke Suzuki, Nature Japan注目のハイライト, 2017, https://www.natureasia.com/ja-jp/research/highlight/12232 BibTeX
  13. 13. Tadahiro Taniguchi, 大学教授と社員兼業、AI研究意思決定早く, 日経産業新聞, 2017, 国内,新聞 BibTeX
  14. 14. Tadahiro Taniguchi, PC-Watch 第2回 全脳アーキテクチャシンポジウム開催, PC Watch, 2017, 国内,ネットニュース BibTeX
  15. 15. Tadahiro Taniguchi, 大学から企業へのクロスアポイントメントの実施, 平成29年版科学技術白書, 2017, 国内,雑誌 BibTeX
  16. 16. Tadahiro Taniguchi, パナソニック企業向け事業、東京拠点 １０月に移転し構造改革, 毎日新聞 朝刊, 2017, 国内,新聞 BibTeX
  17. 17. 柳澤琢史, ミチを開く, 朝日新聞, 2017, https://mei.osaka-u.ac.jp/wp/wp-content/uploads/2017/06/Asahi-Dr.Yanagisawa-20170601.pdf BibTeX
  18. 18. Tadahiro Taniguchi, 巻頭対談『AI/IoT/ロボットが変革する都市』, 不動産協会広報誌FORE5月号, 2017, 国内,雑誌 BibTeX
  19. 19. Tadahiro Taniguchi, 語る聞く人工知能研究者 谷口忠大さん, 読売新聞 夕刊, 2017, 国内,新聞 BibTeX
  20. 20. 山岸俊男,坂上雅道,高岸治人,李楊 元,松本良恵,清成透子,金井良太（学校法人玉川学園HP）, 2017 BibTeX
  21. 21. Tadahiro Taniguchi, 外部人材活用パナ改革, 京都新聞, 2017, 国内,新聞 BibTeX
  22. 22. 柳澤琢史, サイエンスBOX 研究進む「ニューロフィードバック」, 読売新聞, 2017, https://mei.osaka-u.ac.jp/wp/wp-content/uploads/2017/06/Yomiuri-Dr.-Yanagisawa-20170526.pdf BibTeX
  23. 23. Tadahiro Taniguchi, Panasonic pins hopes on outsider ‘catalysts’, NikkeiAsian Review, 2017, 国内,ネットニュース BibTeX
  24. 24. Tadahiro Taniguchi, パナソニック5年で1000人, 日経新聞, 2017, 国内,新聞 BibTeX
  25. 25. Tadahiro Taniguchi, Panasonic aims for 1,000 AI engineers within 5 years, NikkeiAsian Review, 2017, 国内,ネットニュース BibTeX
  26. 26. Tadahiro Taniguchi, パナソニック、本社直轄組織で試される本気度, 日経新聞, 2017, 国内,新聞 BibTeX
  27. 27. Tadahiro Taniguchi, 情報技術最前線, 京都新聞 夕刊, 2017, 国内,新聞 BibTeX
  28. 28. Tadahiro Taniguchi, 立命館大学とパナソニック 国内初のクロスアポイントメント制度を導入, 大学ジャーナルオンライン, 2017, 国内,ネットニュース BibTeX
  29. 29. 小林亮太, webコンテンツのアクセス数を予測する技術を開発, 2017, https://www.nii.ac.jp/news/release/2017/0406.html BibTeX
  30. 30. Hidehiko Takahashi (Kyotol University), ギャンブル依存症の神経メカニズム －前頭葉の一部の活動や結合の低下でリスクの取り方の柔軟性に障害－, 朝日新聞（4月5日 35面）、京都新聞（4月5日 25面）、産経新聞（4月5日 27面）、中日新聞（4月5日 3面）、日刊工業新聞（4月5日 27面）、日本経済新聞電子版（4月4日）、毎日新聞（4月5日夕刊 8面）、読売新聞（4月5日 34面）、時事通信（4月4日）に掲載およびNHK, https://www.kyoto-u.ac.jp/ja/research-news/2017-04-05-0 BibTeX
  31. 31. Tadahiro Taniguchi, AI技術者を外部雇用, 日経新聞, 2017, 国内,新聞 BibTeX
  32. 32. Tadahiro Taniguchi, 立命館大とパナソニックがクロスアポイントメント制度を導入, ICT教育ニュース, 2017, 国内,新聞 BibTeX
  33. 33. Tadahiro Taniguchi, 大学教授がパナソニックで兼業社員に ＡＩ研究で連携強化、出社は週１日, 産経WEST, 2016, 国内,新聞 BibTeX
  34. 34. Tadahiro Taniguchi, 大学研究者のままパナ社員に起用, 読売新聞, 2016, 国内,新聞 BibTeX
  35. 35. Tadahiro Taniguchi, 大学教員兼業社員に, 日経新聞, 2016, 国内,新聞 BibTeX
  36. 36. 柳澤琢史, 手足動かす想像で緩和, 読売新聞夕刊, 2017 BibTeX

Other

  1. 1. 谷口忠大, ハイタレント研修「情報通信工学」機械学習, ハイタレント研修「情報通信工学」内「機械学習」, 2016, 一般向け講演会・セミナー BibTeX
  2. 2. 谷口忠大, 確率的生成モデルとディープラーニングに基づくAIの家庭環境への実装に向けて, “AI to REAL” Technology & Innovation Forum, 2017, 一般向け講演会・セミナー BibTeX
  3. 3. 三村 喬生, R初心者セッション -Data manipulation, 第66回 Tokyo.R, 2017, 一般向け講演会・セミナー BibTeX
  4. 4. 森本淳, ヒト型ロボットの運動学習とヒトの運動支援戦略, 難環境作業スマート機械技術研究センター第4回シンポジウム, 愛知県, Invited# BibTeX
  5. 5. 小村 豊, 脳と体に宿るコギトの正体, 東京大学・特別講演, 2017, 東京, 一般向け講演会 BibTeX
  6. 6. 谷口忠大, これからはじめるための機械学習・ディープラーニング入門講座, サイエンス＆テクノロジー, セミナー, 2017, 一般向け講演会・セミナー BibTeX
  7. 7. 谷口忠大, AI・人工知能について ～第三次人工知能ブームとは何か？～, 木村鋳造所 講演会, 2017, 一般向け講演会・セミナー BibTeX
  8. 8. 平山 淳一郎, 小川 剛史, 守谷 大樹, 2017, 特許出願 特願2017-227094 BibTeX
  9. 9. Jun Morimoto, Learning assistive strategies for exoskeleton robots, IEEE-RAS International Conference on Humanoid Robots(Humanoids2017) Workshop, Birmingham, UK, Invited# BibTeX
  10. 10. , 新しい動きと新しい現実, Future Forum2, 2017 BibTeX
  11. 11. 谷口忠大, 「初めての 人工知能（ AI ）入門」及び「初めての 機械学習・ディープラーニング入門セミナー」, 情報機構セミナー, 2017, 一般向け講演会・セミナー BibTeX
  12. 12. *疋田貴俊, 脳で働くタンパク質、脳を調べるタンパク質, 大阪大学リサーチクラウドカフェ, 2017, アートエリアB1、大阪市, サイエンスカフェ BibTeX
  13. 13. 谷口忠大, 第三次人工知能ブームとは何か？～技術背景から産業応用可能性まで～, （株）小野測器社内セミナー, 2017, 一般向け講演会・セミナー BibTeX
  14. 14. Tadashi Kozuno*, Eiji Uchibe, and Kenji Doya, Unifying value iteration, advantage learning, and dynamic policy programming, arXiv: 1710.10866, 2017 BibTeX
  15. 15. Doya, Kenji, Artificial Intelligence and Brain Science, 2017, Kyungpook National University, Daegu, Korea, Seminar BibTeX
  16. 16. 谷口忠大, 記号創発ロボティクスから⼈⼯知能の社会性に向けて 〜ボトムアップな道徳や規範へのとても遠い道程に思いを馳せる〜, 招待講演，第4回 Morality mod Scienceセミナー, 2017, 一般向け講演会・セミナー BibTeX
  17. 17. 谷口忠大, 「人工知能」とは何か？ ～第三次ブームの技術背景～, データ・AIビジネスを巡る競争政策と産業政策のあり方についての研究会, 2017, 一般向け講演会・セミナー BibTeX
  18. 18. 鈴木真介, 脳と心の不思議〜どうして他人のことが気になるの？〜, 片平まつり 2017, 2017, 東北大学, 一般向け講演会 BibTeX
  19. 19. E. Uchibe*, Deep inverse reinforcement learning, The Third International Workshop on Intrinsically Motivated Open-ended learning, 2017, Italy, invited# BibTeX
  20. 20. 谷口忠大, 第3次人工知能ブームとは何か？～技術背景から産業応用可能性まで～, 招待講演，10月定例会, 2017, 一般向け講演会・セミナー BibTeX
  21. 21. , The Future of AI in the Arts, Japan Foundation, 2017 BibTeX
  22. 22. 内部英治*, ディープNNによる順・逆強化学習, 第27回日本神経回路学会全国大会, 2017, 北九州, invited# BibTeX
  23. 23. 銅谷賢治, 「脳内シミュレーション」の神経回路を可視化する, 新適塾「脳はおもしろい」第18回会合, 2017, 千里ライフサイエンス振興財団,大阪, Seminar BibTeX
  24. 24. Doya, Kenji, Imaging the neural circuit for mental simulation, 2017, OSAKA, Seminar BibTeX
  25. 25. 谷口忠大, 記号創発ロボティクスのアプローチ 赤ちゃんの言語獲得の構成論モデルに向けて, 招待講演，赤ちゃん学会若手合宿, 2017, 一般向け講演会・セミナー BibTeX
  26. 26. 近添淳一, 出前授業・報告, OKAZAKI編集委員-研究所だよりNo54, 2017, 自然科学研究機構, 機関広報誌 BibTeX
  27. 27. 谷口忠大, 20年後の社会：AIに代表される情報技術革新がもたらすもの, 講義，教学部夏期研修, 2017, 一般向け講演会・セミナー BibTeX
  28. 28. 谷口忠大, 記号創発ロボティクスが目指すAGI～表現(表象)学習を超えて～, 第２回全脳アーキテクチャシンポジウム, 2017, 一般向け講演会・セミナー BibTeX
  29. 29. 谷口忠大, AIは「共感」を生み出す クリエイティブにたどり着くのか？, Members University オープンキャンパス（メンバーズ株式会社によるトークイベント）, 2017, 一般向け講演会・セミナー BibTeX
  30. 30. 小村 豊, 無知の知を以て、未知の世界を渡らん, 京大・公開講座, 2017, 京都大学, 一般向け講演会 BibTeX
  31. 31. 森本淳, 強化学習の基礎とロボット応用, 「人工知能と脳科学の対照と融合」若手サマースクール, 埼玉県, Invited# BibTeX
  32. 32. *疋田貴俊, こころをつくるタンパク質, 第10回高校生のための特別公開講座：蛋白質-生命を担うこの身近で不思議な物質, 2017, 大阪大学蛋白質研究所、吹田市, 高校生向け授業 BibTeX
  33. 33. 谷口忠大, 人工知能概論, 組み込み適塾, 2017, 一般向け講演会・セミナー BibTeX
  34. 34. , Long Time Good-bye, 北アルプス芸術祭, 2017 BibTeX
  35. 35. 小村 豊, 迷う私と悟る脳, 世界脳週間講演会, 2017, 堀川高校, 高校生向け授業 BibTeX
  36. 36. Amanda alvarez, Industry-academia collaboration builds the brain science assembly line, Neurographic Blog (medium.com), 2017, Neurographic Blog (medium.com) BibTeX
  37. 37. BSI Youth, High-throughput platform for training mouse behavior, YouTube, 2017, YouTube BibTeX
  38. 38. 近添淳一, こころを視る, 2017, 岡崎市翔南中学校, 出前授業 BibTeX
  39. 39. 谷口忠大, ロボットによる言語獲得への道 ～記号創発ロボティクスへの招待～, 招待講演，2017年 第1回 IEEE Computer Society Kansai Chapter 技術講演会 ～人工知能からコグニティブ・コンピューティング～, 2017, 一般向け講演会・セミナー BibTeX
  40. 40. 谷口忠大, 大学と企業の『知』をかき混ぜるオープンイノベーションの場作り！ ～日本初クロスアポイントメント契約*， その裏側に迫る！～, パネルディスカッション，超交流会, 2017, サイエンスカフェ BibTeX
  41. 41. 小村 豊, 意思決定のシステム脳科学, SSH特別講義, 2017, 膳所高校, 高校生向け授業 BibTeX
  42. 42. 谷口忠大, 記号創発ロボティクス：実世界感覚運動情報からの言語獲得, 招待講演，第７回インテリジェントホームロボティクス研究会, 2017, 一般向け講演会・セミナー BibTeX
  43. 43. 谷口忠大, 情報機構セミナー 「初めての 人工知能（ AI ）入門」及び「初めての 機械学習・ディープラーニング入門セミナー」, 情報機構セミナー, 2017, 一般向け講演会・セミナー BibTeX
  44. 44. , AIと倫理, AIと倫理, 2017 BibTeX
  45. 45. Jun Morimoto, Motor learning methods for humanoid control, Gatsby-Kakenhi Joint Workshop on AI and Neuroscience, London, UK, Invited# BibTeX
  46. 46. 谷口忠大, 製品の知能化・高機能化のための 人工知能（AI）の基礎と最新技術, （株）日本テクノセンターセミナー, 2017, 一般向け講演会・セミナー BibTeX
  47. 47. 三村 喬生, 初心者セッション3, 第60回 Tokyo.R, 2017, 一般向け講演会・セミナー BibTeX
  48. 48. 中原裕之, Computations for social decision-making, 脳科学塾講義, 2017, 理化学研究所、和光, 大学院学生および同程度の学力を有する者 BibTeX
  49. 49. 谷口忠大, クロスアポイントメントからの AIオープンイノベーション ～境界を超えてつなぐキャリア～, 第20回 One Panasonic イベント, 2017, サイエンスカフェ BibTeX
  50. 50. 谷口忠大, 人工知能のこれまでとこれから ～ディープラーニングと身体性の向こう側～, 招待講演，ASTER講演会, 2017, 一般向け講演会・セミナー BibTeX
  51. 51. 谷口忠大, ベイズ教師なし語彙獲得に基づく 運転対話システムの構築, 第２１回人工知能研究成果発表会, 2017, 一般向け講演会・セミナー BibTeX
  52. 52. 谷口忠大, はじめての人工知能 ～初学者のためのＡＩ技術の基本的な考え方、必要知識、導入手順、活用の留意点～, 技術情報協会セミナー, 2017, 一般向け講演会・セミナー BibTeX
  53. 53. 谷口忠大, AI & Robotics for future human-robot collaboration, 北京情報科学大学からの来訪学生を対象として, 2017, 小・中・高向け授業・実験・実習 BibTeX
  54. 54. 谷口忠大, ～全体像の理解と導入・応用を検討するためにおさえておくべきこと～, 初学者の為の人工知能セミナー, 2017, 一般向け講演会・セミナー BibTeX
  55. 55. 谷口忠大，長井隆行，山川宏, 人工知能に記号接地は必要か？ 全脳アーキテクチャと記号創発ロボティクスの目指すもの． 対照と融合, 第29回自律分散システム・シンポジウム, 2017, 一般向け講演会・セミナー BibTeX
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