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International Journal Paper

  1. 1. Fujino J, Kawada R, Tsurumi K, Takeuchi H, Murao T, Takemura A, Tei S, Murai T, *Takahashi H., An fMRI study of decision-making under sunk costs in gambling disorder, Eur Neuropsychopharmacol, 2018, 28, 1371-1381, reviewed& BibTeX
  2. 2. Ogasawara T, Nejime M, *Takada M, *Matsumoto M, Primate nigrostriatal dopamine system regulates saccadic response inhibition, Neuron, 2018, 100, 1513-1526, reviewed BibTeX
  3. 3. Ryohei Fukuma, Takufumi Yanagisawa*, Masataka Tanaka, Fumiaki Yoshida, Koichi Hosomi, Satoru Oshino, Naoki Tani, Haruhiko Kishima, Real-time neurofeedback to modulate β-band power in the subthalamic nucleus in Parkinson’s disease patients, eNeuro, 2018, 5, 6, 0246-18, reviewed BibTeX
  4. 4. Isobe M, Kawabata M, Murao E, Noda T, Matsukawa N, Kawada R, Uwatoko T, Murai T, Noma S, *Takahashi H., Exaggerated envy and guilt measured by economic games in Japanese women with anorexia nervosa., Biopsychosoc Med, 2018, 12, 19, reviewed BibTeX
  5. 5. Yamaguchi T, Lin D, Functions of medial hypothalamic and mesolimbic dopamine circuitries in aggression, Current Opinion in Behavioral Sciences, 2018, 24, 104-112, invited,reviewed,# BibTeX
  6. 6. Idei H, Murata S, Chen Y, Yamashita Y, Tani J, Ogata T*, A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision, Computational Psychiatry, 2018, 2, 164-182, reviewed& BibTeX
  7. 7. Fujino J, Tei S, Itahashi T, Aoki Y, Ohta H, Kubota M, Isobe M, Hashimoto RI, Nakamura M, Kato N, *Takahashi H., Need for closure and cognitive flexibility in individuals with autism spectrum disorder: A preliminary study, Psychiatry Res., 2018, 271, 247-252, reviewed BibTeX
  8. 8. Kurikawa T, Haga T, Handa T, Harukuni R, *Fukai T, Neuronal stability in medial frontal cortex sets individual variability in decision-making, Nature Neuroscience, 2018, 21, 1764-1773, reviewed BibTeX
  9. 9. Tatsuya Teramae, Koji Ishihara, Jan Babic, Jun Morimoto, *Erhan Oztop, Human-in-the-loop control and task learning for pneumatically actuated muscle based robots, Frontiers in Neurorobotics, 2018, 12, 71, reviewed& BibTeX
  10. 10. K Lee, Y Oh, J Izawa, N Schweighofer, Sensory prediction errors, not performance errors, update memories in visuomotor adaptation, Scientific Reports, 2018, 8, 16483, reviewed BibTeX
  11. 11. Haga T, Fukai T, Dendritic processing of spontaneous neuronal sequences for single-trial learning, Scientific Reports, 2018, 8, 1, 15166, reviewed BibTeX
  12. 12. Asabuki T, Hiratani N, Fukai T, Interactive reservoir computing for chunking information streams, PLoS Computational Biology, 2018, 14, 10, e1006400, reviewed BibTeX
  13. 13. *Uchibe, E, Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules, Frontiers in Neurorobotics, 2018, 12, reviewed BibTeX
  14. 14. *Tokuda Tomoki, Yoshimoto Junichiro,Shimizu Yu, Okada Go,Takamura Masahiro, Okamoto Yasumasa, Yamawaki Shigeto, Doya Kenji, Identification of depression subtypes and relevant brain regions using a data-driven approach, Scientific Reports, 2018, 8, 14082, reviewed BibTeX
  15. 15. Ono M, Kochiyama T, Fujino J, Sozu T, Kawada R, Yokoyama N, Sugihara G, Murai T, *Takahashi H., Self-efficacy modulates the neural correlates of craving in male smokers and ex-smokers: an fMRI study, Addict Biol, 2018, 23, 1179-1188, reviewed# BibTeX
  16. 16. Sumitomo A, Yukitake H, Hirai K, Horike K, Ueta K, Chung Y, Warabi R, Yanagawa T, Kitaoka S, Furuyashiki T, Narumiya S, Hirano T, Niwa M, Sibille E, Hikida T, Sakurai T, Ishizuka K, Sawa A, Tomoda T, Ulk2 controls cortical excitatory-inhibitory balance via autophagic regulation of p62 and GABAA receptor trafficking in pyramidal neurons, Human Molecular Genetics, 2018, 27, 18, 3165-3176, reviewed# BibTeX
  17. 17. *Matsumoto M, Inoue K, Takada M, Causal Role of Neural Signals Transmitted From the Frontal Eye Field to the Superior Colliculus in Saccade Generation, Frontiers in Neural Circuits, 2018, 12, 69, reviewed BibTeX
  18. 18. Tei S, Kauppi JP, Fujino J, Jankowski KF, Kawada R, Murai T, *Takahashi H., Inter-subject correlation of temporoparietal junction activity is associated with conflict patterns during flexible decision-making, Neurosci Res, 2018, 144, 67-70, reviewed BibTeX
  19. 19. Hiroshi Ueda, Naotoshi Abekawa, Hiroaki Gomi, The faster you decide, the more accurate localization is possible: Position representation of curveball illusion in perception and eye movements, PLoS ONE, 2018, 13, 8, e0201610, open access: https://doi.org/10.1371/journal.pone.0201610 BibTeX
  20. 20. K. Fujita, A. Medvedev, S. Koyama, R. Lambiotte, and S. Shinomoto, Identifying exogenous and endogenous activity in social media, Physical Review E, 2018, 98, 52304, reviewed & BibTeX
  21. 21. Matsushita K, Hirata M, Suzuki T, Ando H, Yoshida T, Ota Y, Sato F, Morris S, Sugata H, Goto T, Yanagisawa T, Yoshimine T., A Fully Implantable Wireless ECoG 128-Channel Recording Device for Human Brain-Machine Interfaces: W-HERBS., Front Neurosci., 2018, 12, 511, reviewed BibTeX
  22. 22. Takeuchi H, Tsurumi K, Murao T, Mizuta H, Murai T, *Takahashi H., Amygdala volume is associated with risky probability cognition in gambling disorder, Addict Biol, 2018, 24, 802-810, reviewed& BibTeX
  23. 23. *Hiratani N, Fukai T, Redundancy in synaptic connections enables neurons to learn optimally, Proceedings of the National Academy of Sciences of the USA, 2018, 115, 29, E6871-E6879, reviewed BibTeX
  24. 24. *Fung CCA, Fukai T, Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Variability, Scientific Reports, 2018, 8, 1, 10680, reviewed BibTeX
  25. 25. Yanagisawa T., Fukuma R., Seymour B., Hosomi K., Kishima H., Shimizu T., Yokoi H., Hirata M., Yoshimine T., Kamitani Y., Saitoh Y., MEG-BMI to control phantom limb pain, Neurologia medico-chirurgica, 2018, 58, 8, 327-333, reviewed BibTeX
  26. 26. Haga T,*Fukai T, Recurrent network model for learning goal-directed sequences through reverse replay, Elife, 2018, 7, e34171, reviewed BibTeX
  27. 27. Mori Y, *Miyata J, Isobe M, Son S, Yoshihara Y, Aso T, Kouchiyama T, Murai T, Takahashi H., Effect of phase-encoding direction on group analysis of resting-state functional magnetic resonance imaging, Psychiatry Clin Neurosci, 2018, 72, 683-691, reviewed BibTeX
  28. 28. Hidaka Y, Lim CK, Takayama-Ito M, Park CH, Kimitsuki K, Shiwa N, Inoue K, *Itou T, Segmentation of the rabies virus genome., Virus Research, 2018, 252, 68-75, reviewed BibTeX
  29. 29. Higashida S, Nagai H, Nakayama K, Shinohara R, Taniguchi M, Nagai M, Hikida T, Yawata S, Ago Y, Kitaoka S, Narumiya S, Furuyashiki T, Repeated social defeat stress impairs attentional set shifting irrespective of social avoidance and increases female preference associated with heightened anxiety, Scientific Reports, 2018, 8, 1, 10454, reviewed BibTeX
  30. 30. Sun F, Zeng J, Jing M, Zhou J, Feng J, Owen SF, Luo Y, Li F, Yamaguchi T, Yong Z, Gao Y, Peng W, Wang L, Zhang S, Du J, Lin D, Xu M, Kreitzer AC, Cui G, Li Y, A genetically-encoded fluorescent sensor enables rapid and specific detection of dopamine in flies, fish, and mice, Cell, 2018, 174, 2, 481-496, reviewed BibTeX
  31. 31. * H. Honda, I. Fujisaki, T. Matsuka, K. Ueda, Typicality or fluency? a comparison of two hypotheses about cognitive effects of japanese script, Experimental Psychology, 2018, 65, 4, 210-217, reviewed BibTeX
  32. 32. *Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami, Autonomous Regulation of Self and Non-Self by Stimulation Avoidance in Embodied Neural Networks, Proceedings of the ALIFE 2018, 2018, 1, 163-170, reviewed BibTeX
  33. 33. Martín-Vázquez G, Asabuki T, Isomura Y, *Fukai T, Learning Task-Related Activities From Independent Local-Field-Potential Components Across Motor Cortex Layers, Frontiers in Neuroscience, 2018, 12, 429, 1-16, reviewed BibTeX
  34. 34. Fukuma R., Yanagisawa. T., Yokoi H., Hirata M., Yoshimine T., Saitoh Y., Kamitani Y., Kishima H., Training in use of brain-machine interface-controlled robotic hand improves accuracy decoding two types of hand movements, Front. Neurosci., 2018, 478, reviewed BibTeX
  35. 35. *Miyazaki Katsuhiko, Miyazaki Kayoko W.,Yamanaka Akihiro,Tokuda Tomoki,Tanaka Kenji F., Doya Kenji, Reward probability and timing uncertainty alter the effect of dorsal raphe serotonin neurons on patience, Nature Communications, 2018, 9, 2048, reviewed BibTeX
  36. 36. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expressing neurons control the acquisition of sign-tracking to conditioned cues in mice, Frontiers in Neuroscience, 2018, 12, 418, reviewed# BibTeX
  37. 37. J De Havas, S Ito, P Haggard, H Gomi, Low gain servo control during the Kohnstamm phenomenon reveals dissociation between low-level control mechanisms for involuntary versus voluntary arm movements, Frontiers in Behavioral Neuroscience , 2018, 12, 113 BibTeX
  38. 38. Tei S, Fujino J, Hashimoto RI, Itahashi T, Ohta H, Kanai C, Kubota M, Nakamura M, Kato N, *Takahashi H., Inflexible daily behaviour is associated with the ability to control an automatic reaction in autism spectrum disorder., Sci Rep, 2018, 8, 8082, reviewed& BibTeX
  39. 39. *Tadahiro Taniguchi, Ryo Yoshino, Toshiaki Takano, Multimodal hierarchical dirichlet process-based active perception by a robot, Frontiers in Neurorobotics, 2018, 12, 22, reviewed BibTeX
  40. 40. Shinya Takamuku, Paul A. G. Forbes, Antonia F. de C. Hamilton, Hiroaki Gomi, Typical use of inverse dynamics in perceiving motion in autistic adults: Exploring computational principles of perception and action, Autism Research, 2018 BibTeX
  41. 41. Takashi Kawai Hiroshi Yamada Nobuya Sato Masahiko Takada *Masayuki Matsumoto, 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, 2018, rapid online publication, reviewed# BibTeX
  42. 42. Takumi Ege* and Keiji Yanai, Image-based food calorie estimation using recipe information, IEICE Transactions on Information and Systems, 2018, E101-D, 5, 1333-1341, reviewed BibTeX
  43. 43. *Abekawa N, Ferre ER, Gallagher M, Gomi H, Haggard P, Disentangling the visual, motor and representational effects of vestibular input, Cortex, 2018, 2018, 104 BibTeX
  44. 44. Yokoyama N, Sasaki H, Mori Y, Ono M, Tsurumi K, Kawada R, Matsumoto Y, Yoshihara Y, Sugihara G, Miyata J, Murai T, *Takahashi H., Additive Effect of Cigarette Smoking on Gray Matter Abnormalities in Schizophrenia, Schizophr Bull, 2018, 44, 535-541, reviewed# BibTeX
  45. 45. Sumitomo A, Saka A, Ueta K, Horike K, Hirai K, Gamo NJ, Hikida T, Nakayama KI, Sawa A, *Sakurai T, *Tomoda T, Methylphenidate and guanfacine ameliorate ADHD-like phenotypes in Fez1-deficient mice, Molecular Neuropsychiatry, 2018, 3, 4, 223–233, reviewed# BibTeX
  46. 46. Fang YY, Yamaguchi T, Song SC, Tritsch NX, Lin D, A Hypothalamic Midbrain Pathway Essential for Driving Maternal Behaviors, Neuron, 2018, 98, 1, 192-207, reviewed BibTeX
  47. 47. Hashimoto H, Hirata M, Takahashi K, Kameda S, Katsuta Y, Yoshida F, Hattori N, Yanagisawa T, Palmer J, Oshino S, Yoshimine T, Kishima H., Non-invasive quantification of human swallowing using a simple motion tracking system., Scientific Reports, 2018, 8, 1, 5095, reviewed& BibTeX
  48. 48. *Magrans de Abril I, Yoshimoto J, Doya K, Connectivity inference from neural recording data: Challenges, mathematical bases and research directions, Neural Networks, 2018, 102, 120-137, reviewed# BibTeX
  49. 49. *Kass RE, Amari S, Arai K, Brown EN, Diekman CO, Diesmann M, Doiron B, Eden U, Fairhall A, Fiddyment GM, Fukai T, Grun S, Harrison MT, Helias M, Nakahara H, Teramae J, Thomas PJ, Reimers M, Rodu J, Rotstein HG, Shea-Brown E, Shimazaki H, Shinomoto S, Yu BM, Kramer MA., Computational Neuroscience: Mathematical and Statistical Perspectives, Annual Review of Statistics and Its Application, 2018, 5, 183-214, reviewed BibTeX
  50. 50. * H. Liu, T. Taniguchi, K. Takenaka, T. Bando, Defect-repairable latent feature extraction of driving behavior via a deep sparse autoencoder, Sensors, 2018, 18, 2, 608, reviewed BibTeX
  51. 51. Hwang J, Kim J, Ahmadi A, Choi M, *Tani J, Dealing with Large-Scale Spatio-Temporal Patterns in Imitative Interaction between a Robot and a Human by Using the Predictive Coding Framework., IEEE Transactions on Systems, Man, and Cybernetics, 2018, 50, 5, 1918-1931, reviewed& BibTeX
  52. 52. *Yoshizawa T, Ito M, Doya K, Reward-predictive neural activities in striatal striosome compartments, eNeuro, 2018, 5, 1, 367, reviewed# BibTeX
  53. 53. Ishida H+, Inoue K+, *Takada M, Multisynaptic projections from the amygdala to the ventral premotor cortex in macaque monkeys: Anatomical substrate for feeding behavior., Front Neuroanat., 2018, 12, 3, reviewed&# BibTeX
  54. 54. *Elfwing S, Uchibe E, Doya K, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018, 107, 3-11, reviewed# BibTeX
  55. 55. *Koji Ishihara, Jun Morimoto, An optimal control strategy for hybrid actuator systems: application to an artificial muscle with electric motor assist, Neural Networks, 2018, 99, 92-100, reviewed&# BibTeX
  56. 56. *Elfwing S, Uchibe E, Doya K, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018, 107, 3-11, reviewed BibTeX
  57. 57. *Cheng K, Exploration of human visual cortex using high spatial resolution functional magnetic resonance imaging, Neuroimage, 2018, 164, 4-9, reviewed BibTeX
  58. 58. *A. Taniguchi, T. Taniguchi, T. Inamura, Unsupervised spatial lexical acquisition by updating a language model with place clues, Robotics and Autonomous Systems, 2018, 99, Jan 2018, 166-180, reviewed BibTeX
  59. 59. Choi M, *Tani J, Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model., Neural Computation, 2018, 30, 1, 237-270, reviewed& BibTeX

Domestic Journal Paper

  1. 1. *鈴木雅大, 松尾豊, 深層生成モデルを用いた半教師ありマルチモーダル学習, 情報処理学会論文誌, 2018, 59, 12, 2261 – 2278, reviewed BibTeX
  2. 2. *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, 日本薬理学雑誌, 2018, 152, 6, 295-298, invited BibTeX
  3. 3. 片平 健太郎*、山下 祐一, 計算論的アプローチによる精神医学の研究方略および疾病分類の評価, 精神医学, 2018, 1309, reviewed& BibTeX
  4. 4. 栁澤琢史, Q and A 神経科学の素朴な疑問、脳の力で機械は動かせますか？, Clinical Neuroscience, 2018, 36, 2, 262-263, invited BibTeX
  5. 5. 栁澤琢史, 慢性疼痛を脳から治す、-Brain –Machine Interface(BMI)による幻肢痛治療, Clinician, 2018, 65, 668, 67-75, invited BibTeX
  6. 6. 深井朋樹, 脳回路研究とAIの融合に向けて, ファルマシア, 2018, 54, 9, 867-869 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. 栁澤琢史, MEG-BMIによる幻肢痛の病態解明と治療法の開発, ペインクリニック, 2018, 39, 7, 935-940, invited BibTeX
  9. 9. 野口真生、藤本蒼、小村豊*, メタ認知からみた意識の生物学, 人工知能学会誌, 2018, 33, 4, 468-471, reviewed,invited& BibTeX
  10. 10. 栁澤琢史, ブレインマシンインターフェイスによる脳機能の再建と修飾, バイオサイエンスとインダストリー, 2018, 76, 3, 264-265, invited BibTeX
  11. 11. *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
  12. 12. *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, 日本生物学的精神医学会誌, 2018, 29, 1, 40-43, invited BibTeX
  13. 13. 森本淳, ヒト動作の模倣によるヒト型ロボット動作学習, 生体の科学, 2018, 69, 1, 51-53, &# BibTeX
  14. 14. 三木寛隆、*高橋英彦, 共感と司法精神医学, 生体の科学, 2018, 69, 68-72, invited & BibTeX

International Conference

  1. 1. Mineki Oguchi , Masamichi Sakagami, Chemogenetic Inactivation Using Double Virus Vector Infection Reveals the Function of the Prefronto-striatal Pathway in the Macaque Brain, NHP Chemogenetics workshop 2018, 2018, Bethesda BibTeX
  2. 2. Inoue K, Development of viral vectors for delivering functional molecules into nonhuman primate brains., Genetic technologies for systems neurosciences in non-human primates, 2018, Bethesda, USA, invited BibTeX
  3. 3. *Hikida T, Macpherson T, Mizoguchi H, Yamanaka A, 57th Annual Meeting of the American College of Neuropsychopharmacology, 2018, poster BibTeX
  4. 4. Jeric Briones, Takatomi Kubo and Kazushi Ikeda, Detecting switching causal interactions using hierarchical segmentation approach, NeurIPS 2018 Workshop on Causal Learning, 2018, Montreal, Canada, reviewed BibTeX
  5. 5. Paramas P, Total stochastic gradient algorithms and applications in reinforcement learning, The 32nd Conference on Neural Information Processing Systems (NeurIPS2018), 2018, 2018/12/2-12/8, Montreal, CANADA, poster BibTeX
  6. 6. *Tanaka K, Coding of faces by tensor components, Neural substrates of intuition in shogi and soccer experts, 2018, invited lecture BibTeX
  7. 7. *Tanaka K, Energization of cognitive modes by the medial prefrontal cortex (area 9m) in Wisconsin Card Sorting Test (WCST), 2018, invited plenary lecture BibTeX
  8. 8. *Gomi H, Contribution of internal models on sensorimotor control, The 75th Fujihara Seminar “The Cerebellum as a CNS hub; from its evolution to therapeutic strategies”, 2018, Tokyo, Invited talk BibTeX
  9. 9. Wataru Shimoda*, Atsushi Narusawa, and Keiji Yanai, Font Style Transfer Using Deep Neural Networks, International Display Workshop (IDW), 2018, Nagoya, Japan, invited BibTeX
  10. 10. Yuki Izumi*, Daichi Horita, Ryosuke Tanno and Keiji Yanai, Real-Time Image Classification and Transformation Apps on iOS by “Chainer2MPSNNGraph”, NIPS 2018 Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD), 2018, Montreal, Canada, reviewed BibTeX
  11. 11. Asato Matsumoto* and Keiji Yanai, Continual Learning for an Encoder-Decoder CNN Using “Piggyback”, NIPS2018 Continual Learning Workshop, 2018, Montreal, Canada, reviewed BibTeX
  12. 12. Shu Naritmo*, Ryosuke Tanno, Takumi Ege and Keiji Yanai, FoodChangeLens: CNN-based Food Transformation on HoloLens, International Workshop on Interface and Experience Design with AI for VR/AR (DAIVAR), 2018, Taichung, Taiwan, reviewed BibTeX
  13. 13. Yu Sugiyama* and Keiji Yanai, Word-Conditioned Image Style Transfer, ACCV Workshop on AI Aesthetics in Art and Media (AIAM), 2018, Perth, Australia, reviewed BibTeX
  14. 14. Atsushi Narusawa*, Wataru Shimoda and Keiji Yanai, Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer, ACCV Workshop on AI Aesthetics in Art and Media, 2018, Perth, Australia, reviewed BibTeX
  15. 15. Fukai T, Cortical network models from small scales to large scales for cognition, Orchestrating Networks, 2018, Juelich, Germany, oral, invited BibTeX
  16. 16. Fukai T, Exploring a bridge between the brain and AI, Global Leaders Forum 2018, 2018, Seoul, Korea, oral, invited BibTeX
  17. 17. Yuza, J., Okubo, M., Komura, Y., & Kajiwara, R*, Contribution of nucleus accumbens to impulsive choice behavior based on the last reward experience, Society for Neuroscience meeting, 2018, San Diego, USA BibTeX
  18. 18. Misako Komatsu, Noritaka Ichinohe, Predictive coding on auditory processing: spatio-temporal structure of signal flow in whole-cortical electrocorticograms, Neuroscience 2018, 2018, Sun Diego, USA, poster BibTeX
  19. 19. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neuro-computational mechanisms for deciding with predicting others, The 48th Annual Meeting of the Society for Neuroscience (sfn 2018), 2018, San Diego, USA, poster BibTeX
  20. 20. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanism underlying value conversion of others’ reward to decision, The 48th Annual Meeting of the Society for Neuroscience (sfn 2018), 2018, San Diego, USA, poster BibTeX
  21. 21. Kiyohiko Nakamura, Misako Komatsu, Neural mechanism for information seeking in monkey prefrontal cortex, Neuroscience 2018, 2018, Sun Diego, USA, poster BibTeX
  22. 22. *Asabuki T, Fukai T, Analysis of complex temporal information streams by dendritic neuron model, Neuroscience 2018 (SfN’s 48th annual meeting), 2018, San Diego, USA, poster BibTeX
  23. 23. *Haga T, Fukai T, Learning efficient search for reward by CA3 recurrent network model, Neuroscience 2018 (SfN’s 48th annual meeting), 2018, San Diego, USA, poster BibTeX
  24. 24. *Abekawa N, Gomi H, Different eye-hand coordination forms distinct motor memories in visuomotor adaptation, Neuroscience2018 (SfN2018), 2018, San Diego, poster BibTeX
  25. 25. *De Havas J, Ito S, Gomi H, The inhibition of voluntary muscle relaxations depends on similar mechanisms to the inhibition of muscle contractions., Neuroscience2018 (SfN2018), 2018, San Diego, poster BibTeX
  26. 26. Mengxi Yun, Takashi Kawai, Masafumi Nejime, Hiroshi Yamada, *Masayuki Matsumoto, Dynamics of neuronal signals in primate midbrain dopamine neurons and orbitofrontal cortex neurons during value-to-decision transformation, Society for Neuroscience, 2018, San Diego, USA, poster BibTeX
  27. 27. Macpherson T, Mizoguchi H, Yamanaka A, Hikida T, Ventral pallidum neurons control aversive learning, The 48th Annual Meeting of the Society for Neuroscience. (2018/11/3-7), 2018, poster BibTeX
  28. 28. Macpherson T, Mizoguchi H, Yamanaka A, Hikida T, Ventral pallidum neurons control aversive learning, The 48th Annual Meeting of the Society for Neuroscience, 2018 BibTeX
  29. 29. Takaaki Kaneko, Misako Komatsu, Noritaka Ichinohe, Hideyuki Okano, Neural dynamics of recurrent active vision, Neuroscience 2018, 2018, Sun Diego, USA, poster BibTeX
  30. 30. Aoki, R., *Benucci, A., In vivo quantification of single-cell targeted optogenetic stimulation with a digital micro-mirror device, Neuroscience 2018, 2018, San Diego, Poster presentations BibTeX
  31. 31. *Suzuki S, Katahira K, Yamashita Y, Reinforcement learning is impaired with obsessive-compulsive and schizotypal traits, 48th Annual Meeting of Society for Neuroscience, 2018, Sandiego, USA, poster BibTeX
  32. 32. Daichi Horita*, Jaehyeong Cho, Takumi Ege and Keiji Yanai, CNN-based Photo Transformation for Improving Attractiveness of Ramen Photos, ACM Symposium on Virtual Reality Software and Technology (VRST), 2018, Tokyo, Japan, reviewed BibTeX
  33. 33. Ryosuke Tanno*, Takumi Ege and Keiji Yanai, AR DeepCalorieCam V2: Food Calorie Estimation with CNN and AR-based Actual Size Estimation, ACM Symposium on Virtual Reality Software and Technology (VRST), 2018, Tokyo, Japan, reviewed BibTeX
  34. 34. *Guilherme Maeda, Okan Koc, Jun Morimoto, Reinforcement learning of phase oscillators for fast adaptation to moving targets, Conference on Robot Learning(CoRL2018)/Proceedings of Machine Learning Research(Web) (2018/10/29-31), 2018, Zurich, Switzerland, reviewed BibTeX
  35. 35. Kozuno T, Doya K, Theoretical analysis of Non-exact retrace algorithm, The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018 ), 2018, 2018/10/24-2018/10/27, OIST, Poster BibTeX
  36. 36. Fukai T, Unsupervised learning of information streams in networks of dendritic neurons, Champalimaud Research Symposium 2018, 2018, Lisbon, Portugal, oral, invited BibTeX
  37. 37. *Nakahara H, Neural computations underlying social decision-making, KAIST Bio-IT Healthcare Initiative II Half-day workshop on brain-inspired AI:Neural Basis of Intelligence, 2018, Daejeon, Korea, oral, invited BibTeX
  38. 38. *Abekawa N, Gomi H, Difference in eye-hand coordination forms distinct motor memories in implicit visuomotor adaptation. In: JNNS Satellite Workshop, Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, okinawa, poster BibTeX
  39. 39. *De Havas J, Ito S, Gomi H, Does the inhibition of voluntary muscle relaxations depend on similar mechanisms to the inhibition of muscle contractions?, Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, Okinawa, poster BibTeX
  40. 40. *Ito S, Gomi H, Multimodal contribution to body state representation for generating proprioceptive reflexes., Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, Okinawa, poster BibTeX
  41. 41. *Nakamura D, Gomi H, Statistical analysis of optic flow induced by body motion characterizing OFR and MFR., Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, Okinawa, poster BibTeX
  42. 42. *Takamuku S, Gomi H, Low sensitivities of walking speed adjustment and self‐motion velocity perception to dense optic flow, Joint workshop “Analysis and Synthesis for Human/Artificial Cognition and Behaviour” (JNNS2018 satellite), 2018, Okinawa, poster BibTeX
  43. 43. *Jun-ichiro Furukawa, Jun Morimoto, A data-driven approach for estimating human behavior with collaborative filtering, Joint workshop of UCL-ICN, NTT, UCL-Gatsby, and AIBS (2018/10/22-23), 2018, Okinawa, Japan BibTeX
  44. 44. *Jun Morimoto, Humanoid motor learning from observed human behaviors, Joint workshop of UCL-ICN, NTT, UCL-Gatsby, and AIBS (2018/10/22-23), 2018, OISTシーサイドハウス（沖縄県）, invited BibTeX
  45. 45. *Yamashita Y, Okimura T, Maeda T, Aberrant sense of agency induced by delayed prediction signal in schizophrenia: a computational modeling study, International Consortium on Hallucination Research (ICHR) 2018, 2018, Kyoto, Japan, poster BibTeX
  46. 46. Idei H, Murata S, Yamashita Y, *Ogata T, Altered self-nonself discrimination simulated on humanoid robot with a hierarchical neural network model, International Consortium on Hallucination Research (ICHR) 2018, 2018, Kyoto, Japan, poster BibTeX
  47. 47. Fukai T, Sequence learning by symmetric STDP and inhibitory engram, 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2018), 2018, Jeju Island, Korea, oral, invited BibTeX
  48. 48. *Nakahara H, Neural computations underlying social decision-making, 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics, 2018, Jeju Island, Korea, oral, invited BibTeX
  49. 49. *Benucci A., Stability and Plasticity of Visual Representations in the Mouse Cortex, Invited talk, University of Zurich and ETH Zurich, 2018, Zurich, Invited talk BibTeX
  50. 50. Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, Tadahiro Taniguchi, Koosuke Hattori, Masahiro Hoguro, and Taizo Umezaki, Mutual learning of relative spatial concepts and phoneme sequences using spoken user utterances, IROS2018 Workshop on Language and Robotics, 2018, Madrid, Spain, reviewed BibTeX
  51. 51. Ryosuke Tanno*, Daichi Horita, Wataru Shimoda and Keiji Yanai, Magical Rice Bowl: Real-time Food Category Changer, ACM Multimedia, 2018, Seoul, Korea, reviewed BibTeX
  52. 52. Inoue K, Manipulation of primate neural networks by means of modified viral vectors, International Conference “Viral Manipuration in Monkey”, 2018, Paris, France, invited BibTeX
  53. 53. Ryo Ozaki, Tadahiro Taniguchi, Accelerated nonparametric bayesian double articulation analyzer for unsupervised word discovery, The 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics 2018, 2018, Tokyo, Japan, reviewed BibTeX
  54. 54. Tadahiro Taniguchi, Yuta Fukusako, Toshiaki Takano, Bayesian noisy word clustering via sampling prototypical words, The 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics 2018, 2018, Tokyo, Japan BibTeX
  55. 55. *Uchibe E, Cooperative and competitive reinforcement and imitation learning, 8th Joint IEEE International Conferene on Developmental Learning and on Epigenetic Robotics (ICDL-EpiRob 2018), 2018, Tokyo, Japan, reviewed, poster BibTeX
  56. 56. *Wang J, Elfwing S, Uchibe E, Deep reinforcement learning by parallelizing reward and punishment using MaxPain architecture, 8th Joint IEEE International Conferene on Developmental Learning and on Epigenetic Robotics (ICDL-EpiRob 2018), 2018, Tokyo, Japan, reviewed, poster BibTeX
  57. 57. *Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo, Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder, Interspeech, 2018, 2018, Hyderabad, India, reviewed BibTeX
  58. 58. *Ogawa T, Moriya H, Hiroe N, Yamada T, Kawanabe M, Hirayama J, Extraction of EEG network components by using stacked pooling and linear components estimation, The 21st International Conference on Biomagnetism (BIOMAG2018), 2018, Philadelphia, USA, reviewed poster BibTeX
  59. 59. *Daniel F.N. Gordon, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Sethu Vijayakumar, Bayesian optimisation of exoskeleton design parameters, 7th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics（BioRob 2018）(2018/8/26-29), 2018, Enschede, the Netherlands, reviewed BibTeX
  60. 60. Masamichi Sakagami, Decoding value-related signal represented in multiple areas of the prefrontal cortex using ECoG electrodes, The 4th Conference on Cognitive Neurodynamics, 2018, China BibTeX
  61. 61. Noritaka Ichinohe, Misako Komatsu, Mismatch negativity as a translatable biomarker bridging a gap between animal model and human disease, The 41nd Annual Meeting of the Japan Neuroscience Society, 2018, Kobe, symposium BibTeX
  62. 62. Kiyohiko Nakamura, Misako Komatsu, The value of information encoded by neural populations of prefrontal cortex during information seeking, The 41nd Annual Meeting of the Japan Neuroscience Society, 2018, Kobe, poster BibTeX
  63. 63. Hamaguchi K, *Watanabe D, HDBCellSCAN: hierarchical density-based clustering approach for ROI detection in Calcium imaging data, The 41st Annual Meeting of the Japan Neuroscience Society, 2018, Kobe, Japan, poster BibTeX
  64. 64. Masamichi Sakagami, Value Decoding from ElectroCorticoGraphic Signals in Monkey Prefrontal Cortices and its Modulation by Decorded Neurofeedback, The 41th Annual Meeting of the Japan Neuroscience Society, 2018, Kobe BibTeX
  65. 65. Misako Komatsu, Noritaka Ichinohe, Effects of ketamine administrations on frequency and duration mismatch activity in common marmosets, The 41nd Annual Meeting of the Japan Neuroscience Society, 2018, Kobe, poster BibTeX
  66. 66. *Gomi H, Nakamura D, Specificities of manual and ocular following responses and natural statistics of optic flow induced by body movements., The 41st Annual Meeting of the Japan Neuroscience Society 2018, 2018, Kobe, poster BibTeX
  67. 67. Masamichi Sakagami, Introduction of Japan-U.S.Brain Reserch Cooperative Program (BRCP), The 41th Annual Meeting of the Japan Neuroscience Society, 2018, Kobe BibTeX
  68. 68. Tadahiro Taniguchi, Constructive Approach towards Symbol Emergence Systems with Cognitive Robotics and Machine Learning, EVOSLACE (Workshop on the emergence and evolution of social learning, communication, language and culture in natural and artificial agents in ALIFE 2018), 2018, Tokyo, Japan, invited BibTeX
  69. 69. *Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami, Autonomous Regulation of Self and Non-Self by Stimulation Avoidance in Embodied Neural Networks, Artificial Life Conference 2018, 2018, Tokyo, Japan, oral BibTeX
  70. 70. *Uchibe E, Efficient sample reuse in policy search by multiple importance sampling, Genetic and Evolutionary Computation Conference (GECCO 2018), 2018, Kyoto, Japan, reviewed, oral BibTeX
  71. 71. *Elfwing S, Uchibe E, Doya K, Online meta-learning by parallel algorithm competition, Genetic and Evolutionary Computation Conference (GECCO 2018), 2018, Kyoto, Japan, reviewed, oral BibTeX
  72. 72. Tadahiro Taniguchi, Symbol Emergence in Robotics: Towards Architecture for Embodied Developmental General Artificial Intelligence, AEGAP 2018 Architectures and Evaluation for Generality, Autonomy & Progress in AI, 15th July, 2018, STOCKHOLM, SWEDEN, 1ST INTERNATIONAL WORKSHOP HELD IN CONJUNCTION WITH IJCAI-ECAI 2018, AAMAS 2018 AND ICML 2018, 2018, STOCKHOLM, SWEDEN, invited BibTeX
  73. 73. Hayakawa T, Fukai T, The mean-field theory of dynamically balanced neuronal networks, 27th Annual Computational Neuroscience Meeting (CNS 2018), 2018, Seattle, USA BibTeX
  74. 74. Parmas P, Rasmussen Carl E, Peters Jan, Doya, Kenji, PIPPS: Flexible model-based policy search robust to the curse of chaos, The 35th International Conference on Machine Learning (ICML2018), 2018, 2018/7/10-7/15, Stockholm, SWEDEN, reviewed poster BibTeX
  75. 75. Hidehiko Takahashi, Development of theranostic biomarkers for schizophrenia, Pan-Asia Symposium on the Genetics of Brain Disorders, 2018, Shanghai, China, invited BibTeX
  76. 76. Yuza, J. Okubo, M., Komura, Y., & Kajiwara, R., The role of nucleus accumbens for tolerance to delayed reward using two-choice maze in rats, The 11th FENS Forum of Neuroscience, 2018, Berlin, Germany BibTeX
  77. 77. Macpherson T, Mizoguchi H, Yamanaka A, Hikida T, Ventral pallidum neurons control aversive learning, The 11th Meeting of the Federation for European Neuroscience Society, 2018, poster BibTeX
  78. 78. Honda, H., Shirasuna, M., Matsuka, T., & Ueda, K., Speakers’ choice of frame based on reference point: with explicit reason or affected by irrelevant prime?, the 40th Annual Conference of the Cognitive Science Society, 2018, Madison, USA, reviewed BibTeX
  79. 79. Takumi Ege* and Keiji Yanai, Multi-task Learning of Dish Detection and Calorie Estimation, International Workshop on Multimedia Assisted Dietary Management (MADIMA), 2018, Stockholm, Sweden, reviewed BibTeX
  80. 80. Daichi Horita*, Ryosuke Tanno, Wataru Shimoda and Keiji Yanai, Food Category Transfer with Conditional Cycle GAN and a Large-scale Food Image Dataset, International Workshop on Multimedia Assisted Dietary Management (MADIMA), 2018, Stockholm, Sweden, reviewed BibTeX
  81. 81. Yoshifumi Ito*, Wataru Shimoda and Keiji Yanai, Food Image Generation using A Large Amount of Food Images with Conditional GAN: RamenGAN and RecipeGAN, International Workshop on Multimedia Assisted Dietary Management (MADIMA), 2018, Stockholm, Sweden, reviewed BibTeX
  82. 82. *Waggoner RA, Ueno K, Kuribayshi H, Tanaka K, In-Plane Signal Leakage (L- factor) Maps from TGRAPPA, 2018, reviewed poster BibTeX
  83. 83. Komatsu M, Effects of ketamine administrations on frequency and duration mismatch activity in common marmosets with whole-cortical electrocorticograms, the 8th Mismatch Negativity conference, 2018, Helsinki, invited BibTeX
  84. 84. Tadahiro Taniguchi, Symbol Emergence in Robotics Towards Unsupervised Language Acquisition by Robots, Doing Digital Methods: Interdisciplinary Interventions, 2018, Kyoto, Japan, invited BibTeX
  85. 85. Doya K, Introductory talk: Building autonomous robots to understand what brains do, Satellite workshop of The 8th International Symposium on Biology of Decision Making (SBDM2018), 2018, 2018/5/21-5/23, Paris, France, oral BibTeX
  86. 86. Tadahiro Taniguchi, Unsupervised Language Acquisition by Robots with Hierarchical Bayesian Models, SBDM2018 Satellite-Workshop on interfaces between Robotics, Artificial Intelligence and Neuroscience, 2018, Paris, France, invited BibTeX
  87. 87. *Shinsuke Suzuki, Food value computation in the human orbitofrontal cortex, Eighth International Symposium on Biology of Decision Making, 2018, Paris, France, invited BibTeX
  88. 88. *Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto, Deep Encoder-Decoder Networks for Mapping Raw Images to Movement Primitives, IEEE International Conference on Robotics and Automation(ICRA2018), 2018, Brisbane, Australia, reviewed# BibTeX
  89. 89. *Waggoner RA, MR Physics Demands of High-Resolution fMRI, 2018, invited oral BibTeX
  90. 90. Doya K, Neural circuits for reinforcement learning and mental simulation, Canonical Computaiton in Brains and Machines Symposium, 2018, 2018.3.18, New York University, USA, oral BibTeX
  91. 91. Doya K, Neural circuits for reinforcement learning and mental simulation, Seminar, 2018, 2018.3.19, Cold Spring Harbor Laboratory, USA, seminar BibTeX
  92. 92. So Fujimoto, Mao Noguchi, Akihiko Nikkuni, Yutaka Komura*, Neurobiology and statistics for reflective minds in primates, International symposium for cognitive neuroscience, 2018, Taipei, Taiwan BibTeX
  93. 93. *Yoshizawa T, Ito M, Doya K, Cell-type specific calcium imaging of striatal neurons in the striosome compartments during an odor-conditioning task, Gordon Research Conference, 2018, 2018.3.15, Four Points Sheraton/Holiday Inn Express, Ventura, CA, US, Poster BibTeX
  94. 94. Doya K, How does the brain wire up itself on the fly?, Seminar, 2018, 2018.3.14, Institute for Advanced Study, Princeton, USA, invited BibTeX
  95. 95. Doya K, Neural Circuit for Mental Simulation, The Neuroscience and Social Decision Making Talk Series, 2018, Princeton Neuroscience Institute, USA, Seminar BibTeX
  96. 96. Doya K, Imaging the neural circuit for mental simulation, COSYNE 2018 Workshop Session: Concepts, attention, and consciousness in (reinforcement) learning, 2018, 2018.3.5, Denver City, USA, oral BibTeX
  97. 97. *Benucci A., Sussillo, D., RNNs: What are we doing and why?, CoSyNe 2018 (2018/3/5-3/6), 2018, Denver, Colorado, Workshop organizer and presenter, invited BibTeX
  98. 98. Hamasaki Y, Nakayama T, Hikida T, Childhood subclinical characteristics in schizophrenia – toward the early screening for the risk of schizophrenia, EPA 2018, 2018 BibTeX
  99. 99. Takagishi, H., Sakagami, M., & Yamagishi, T, Social Value Orientation is Associated with the Role of Right Dorsolateral Prefrontal Cortex in Prosocial Behavior, The 19th annual meeting of the Society for Personality and Social Psychology, 2018, Atlanta BibTeX
  100. 100. Kurikawa T, Handa T, Fukai T, Different neural landscape regulates individual differences in sensory-guided decision making, Computational and Systems Neuroscience (Cosyne) 2018, 2018, Denver, USA BibTeX
  101. 101. Fung CC, Fukai T, Discrete-attractor-like motion in continuous-attractor neural field models, Computational and Systems Neuroscience (Cosyne) 2018, 2018, Denver, USA BibTeX
  102. 102. Fukai T, Information transfer during slow oscillations in cortical networks, The 4th CiNet Conference, 2018, Osaka, Japan, invited BibTeX
  103. 103. Kurikawa T, Fukai T, Dynamic modulation in communications between Hippocampus and Medial entorhinal cortex depending on cognitive state, The 4th CiNet Conference, 2018, Osaka, Japan BibTeX
  104. 104. *Shinsuke Suzuki, Value computation in the human brain: its basis and contagious nature, Neuroeconomics Seminar, 2018, Zurich, Switzerland, invited BibTeX
  105. 105. *Hiroaki Shioya, Yutaka Matsuo, Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity, International Conference of Learning Representation, 2018, Vancouver,Canada, reviewed BibTeX
  106. 106. Fukai T, Reservoir computing for chunking and decision-making, Colloquium at Laboratoire de Neurosciences Cognitives, 2018, Paris, France, invited BibTeX
  107. 107. *Joji Toyama, Yutaka Matsuo, Expert-based reward function training: the novel method to train sequence generators, International Conference of Learning Representation, 2018, Vancouver,Canada, reviewed BibTeX
  108. 108. Fukai T, Sequence learning through reverse replay and preplay in hippocampal circuit models., Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 2018, Barcelona, Spain, invited BibTeX
  109. 109. Fukai T, Dendritic canonical correlation analysis for memory and sensory information processing., Dendritic integration and computation with active dendrites, 2018, Paris, France, invited BibTeX
  110. 110. Ryosuke Tanno*, Keiji Yanai, AR deepcaloriecam: an iOS app for food calorie estimation with augmented reality, The International Multimedia Modeling Conference (MMM), 2018, Bangkok, Thailand, reviewed BibTeX
  111. 111. *Gomi H, Output Modality Dependent Visual Motion Analysis in the Brain, Brain and AI symposium by Korea Society of Brain and Nerve 2018, 2018, Korea, Invited talk BibTeX
  112. 112. Doya K, Neural circuits for reinforcement learning and mental simulation, Brain and AI Symposium Korea, 2018, 2018.1.30, Gold Hall and Ruby Hall, WellyHilly park, South Korea, invited BibTeX
  113. 113. *Jun Morimoto, Learning assistive strategies for BMI exoskeleton robots, 2018 Brain and AI Symposium (2018/1/30-31), 2018, Kangwon Province, Korea, invited BibTeX
  114. 114. Masamichi Sakagami, Decoding the value related signal represented in multiple areas of the prefrontal cortex using ECoG electrodes, Joint Workshop on AI Flagship Project for Interaction(3)& Emotion(4) and AI & Brain Science Project2018, 2018, Kangwon, Korea, invited BibTeX
  115. 115. Masamichi Sakagami, Multiple Neural Circuits In Value-based Decision Making, Brain Engineering Society of Korea(BESK) Brain AI Symposium, 2018, Kangwon, Korea, invited BibTeX
  116. 116. Doya K, What should we further learn from the brain?, Joint Workshop of Krean AI flagship Project and Japanese AI and Brain Scinece Project, 2018, 2018.1.29, WellyHilly park, South Korea, oral BibTeX
  117. 117. T. Yanagisawa, Brain-machine interface to modulate cortical functions, Biomedical engineering seminar, epilepsy and brain machine interfaces, 2018, Ian Potter Auditorium, Melbourne Brain Center, invited BibTeX

Domestic Conference

  1. 1. *Waggoner RA, Ueno K, Tanaka K, In-Plane Signal Leakage in GRAPPA Reconstructions, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 3rd Scientific Meeting, 2018 BibTeX
  2. 2. *Haruhana K, Suzuki C, Waggoner RA, Tanaka K, Ueno K, Head Motion Suppression Using The Bite-bar System for Human MRI scans, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 3rd Scientific Meeting, 2018 BibTeX
  3. 3. *Suzuki C, Waggoner RA, Haruhana K, Tanaka K, Ueno K, Motion correction for improving k-space physiological noise correction in fMRI studies, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 3rd Scientific Meeting, 2018 BibTeX
  4. 4. *Gupta S, Tanaka K, Waggoner RA, Calibration of Proton Resonance Frequency Shift Coefficient in a Phantom for 4-T MRI, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 3rd Scientific Meeting, 2018 BibTeX
  5. 5. *鈴木真介, 戦略的行動の神経基盤：計算論的脳イメージングによる検証, 第22回実験社会科学カンファレンス, 2018 BibTeX
  6. 6. *小村豊, 自己省察のシステム神経科学, 同志社大学脳科学研究科セミナー, 2018 BibTeX
  7. 7. *濱屋政志、松原崇充、古川淳一朗、孫雨庭、八木聡明、寺前達也、野田智之、森本淳, ユーザ嗜好に基づくEMGを用いた運動支援制御器のベイズ最適化, 第19回計測自動制御学会システムインテグレーション部門講演会(SI2018) (2018/12/13-15), 2018 BibTeX
  8. 8. 栁澤琢史, 皮質脳波を用いた視覚情報解読と意思伝達, 次世代脳実行委員会企画、攻める脳科学〜脳を見る・脳を変える〜, 2018 BibTeX
  9. 9. Komatsu M, Cortical Information Flow for Auditory Information Processing in Marmosets, Next-generation Brain Symposium, 2018 BibTeX
  10. 10. *鈴木真介, 他者との駆け引きの神経基盤, 次世代脳プロジェクト冬のシンポジウム─脳と社会の共創を科学する：どう仮説し、どうアプローチするか─, 2018 BibTeX
  11. 11. 鈴木 香寿恵，*山下 祐一, Hierarchical Gaussian Filterを用いた時間順序判断シミュレーション実験, 日本発達神経科学学会第7回学術集会, 2018 BibTeX
  12. 12. 宗近亮弥，出井勇人，村田真悟，山下祐一，尾形哲也*, 神経結合断裂 がもたらす感覚不確実性の推定異常―再帰型神経回路モデルを用いた精神疾患モデリング―, 日本発達神経科学学会第7回学術集会, 2018 BibTeX
  13. 13. *谷口忠大, 記号創発ロボティクスによる汎⽤⼈⼯知能への挑戦, 第10回⼈⼯知能学会汎⽤⼈⼯知能研究会(SIG-AGI), 2018 BibTeX
  14. 14. 銅谷賢治, 想像力と知能の脳回路を可視化する, 第58回日本核医学会学術総会-合同特別講演（県民公開講座を兼ねる）, 2018 BibTeX
  15. 15. 栁澤琢史, 脳で機械を操るBMI技術の現状と未来, 錦秀会医療・福祉フォーラム, 2018 BibTeX
  16. 16. 栁澤琢史, 脳波ビッグデータとAIの臨床応用, コンピュータ外科学会, 2018 BibTeX
  17. 17. 栁澤琢史、福間良平、西本伸志、中村優一郎、押野悟、神谷之康、貴島晴彦, BMI技術を応用した脳磁図・皮質脳波からの脳機能マッピング, 臨床神経生理学会, 2018 BibTeX
  18. 18. 銅谷賢治, ロボットと人工知能から行動障害と脳機能へのアプローチ, 第22回日本摂食障害学会学術集会, 2018 BibTeX
  19. 19. *Paramas P, Total stochastic gradient algorithms with application to model-based reinforcement learning, The 21st Information -based induction science workshop (IBIS2018), 2018 BibTeX
  20. 20. *疋田貴俊, 学習と意志決定における大脳基底核神経回路機構, 京阪・神経内科セミナー2018, 2018 BibTeX
  21. 21. Hashimoto Y, *Yamashita Y, Convolutional Auto-encoder for Resting-state Functional MRI, 日本神経回路学会 第28回全国大会（JNNS2018）, 2018 BibTeX
  22. 22. Labuguen R, Gaurav V, Blanco SN, Matsumoto J, Inoue K, Shibata T, Monkey Features Location Identfication Using Convolutional Neural Networks, 第28回日本神経回路学会・全国大会, 2018 BibTeX
  23. 23. 栁澤琢史, BMI neurofeedbackによる幻肢痛の治療, 第77回脳神経外科学会総会, 2018 BibTeX
  24. 24. 栁澤琢史, Brain-Computer Interfaceの臨床応用, 第41回IEEE EPS, 2018 BibTeX
  25. 25. *山下祐一, 脳の計算理論に基づく自閉スペクトラム症の病態メカニズム仮説, 日本精神病理学会第41回大会, 2018 BibTeX
  26. 26. *坂上雅道, 意思決定に関わる2つの神経回路と向社会性, 脳と意識分科会シンポジウム 融合社会脳研究の創成と展開、日本心理学会第82回大会, 2018 BibTeX
  27. 27. *疋田貴俊, 大脳基底核から情動の神経回路機構とその破綻を考える, 平成30年度生理学研究所研究会「情動の神経回路機構とその破綻」, 2018 BibTeX
  28. 28. 銅谷賢治, 人工知能は脳から何を学べるか, 第26回脳の世紀シンポジウム「AIと脳」, 2018 BibTeX
  29. 29. 髙橋 英彦, 依存症の脳画像研究における「卵か鶏」問題 依存になりやすい脳, 日本アルコール関連学会, 2018 BibTeX
  30. 30. *Suzuki C, Haruhana K, Waggoner RA, Tanaka K, Ueno K, Motion effect on physiological noise correction in fMRI studies, 第46回日本磁気共鳴医学会大会, 2018 BibTeX
  31. 31. *中原裕之, 社会的意思決定の脳計算と神経基盤, 2018年度生理研研究会 「第2回ヒト脳イメージング研究会」, 2018 BibTeX
  32. 32. MA Ning, 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 decision-making with predicting others in human, 2018年度生理研研究会 「第2回ヒト脳イメージング研究会」, 2018 BibTeX
  33. 33. 福田 玄明, MA Ning, 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 processing for social value conversion into value-based decision, 2018年度生理研研究会 第2回ヒト脳イメージング研究会, 2018 BibTeX
  34. 34. Takaaki Kaneko, Misako Komatsu, Noritaka Ichinohe, Hideyuki Okano, Neural dynamics of recurrent active vision, 第2回ヒト脳イメージング研究会, 2018 BibTeX
  35. 35. *Gupta S, Cheng K, Tanaka K, Waggoner RA, Phantom for MR-Thermometry, 第46回日本磁気共鳴医学会大会, 2018 BibTeX
  36. 36. *Waggoner RA, Ueno K, Tanaka K, Direct Measurement of In-Plane Signal Leakage Using TGRAPPA, 第46回日本磁気共鳴医学会大会, 2018 BibTeX
  37. 37. 髙橋 英彦, 意思決定障害としての精神疾患の脳イメージング, ヒト脳イメージング研究会, 2018 BibTeX
  38. 38. *疋田貴俊, 大脳基底核における認知学習と精神疾患の制御機構, 第40回日本生物学的精神医学会 第61回日本神経化学会大会 合同年会, 2018 BibTeX
  39. 39. 栁澤琢史, Brain-Computer Interfaceの臨床応用と大脳皮質機能の解明, 大脳皮質回路の機能原理を探る, 2018 BibTeX
  40. 40. *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, 第40回日本生物学的精神医学会, 2018 BibTeX
  41. 41. *谷口忠大, ロボティクスと確率モデルに基づく汎用人工知能に向けて ～記号創発ロボティクスのアプローチ～, 第36回 日本ロボット学会 学術講演会, 2018 BibTeX
  42. 42. *相良陸成，田口亮，谷口彰，谷口忠大，服部公央亮，保黒政大，梅崎太造, 教示発話からの相対位置概念と語彙の相互学習, 第36回 日本ロボット学会 学術講演会, 2018 BibTeX
  43. 43. *Kurimoto, R., Ushitani, T., & Matsuka, T., Does accurate memory predict the categorical learning in pigeons?, 日本動物心理学会第78回大会, 2018 BibTeX
  44. 44. 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, マーモセットの帯状皮質を巡る基底核連関構築様式, 第33回 日本大脳基底核研究会, 2018 BibTeX
  45. 45. 新國彰彦, *小村豊, Maladaptive behavioral adjustment in metacognition, 第25回脳機能とリハビリテーション研究会学術集会, 2018 BibTeX
  46. 46. *De Havas J, Ito S, Gomi H, The inhibition of voluntary muscle relaxations depends on similar mechanisms to the inhibition of muscle contractions., 第12回モーターコントロール研究会, 2018 BibTeX
  47. 47. *竹村 文, 安部川直稔, 五味裕章, マカクサルにおけるMST 野不活化による短潜時腕応答への影響, 日本視覚学会2018年夏季大会, 2018 BibTeX
  48. 48. 小口峰樹，*坂上雅道, Chemogenetic Inactivation Using Double Virus Vector Infection Elucidates the Function of the Prefronto-striatal Circuit in the Macaque Brain, 国際ワークショップ 「遺伝子導入技術の利用による霊長類脳機能操作とイメージング」, 2018 BibTeX
  49. 49. 成沢淳史*， 下田和， 柳井啓司, CNNを用いた質感文字生成, 画像の認識・理解シンポジウム(MIRU), 2018 BibTeX
  50. 50. 丹野良介*， 會下拓実， Jaehyeong Cho， 柳井啓司, AR 技術とモバイル深層学習を活用した 食事カロリー量推定, 画像の認識・理解シンポジウム(MIRU), 2018 BibTeX
  51. 51. Inoue K, Development of viral vectors for delivering functional molecules into nonhuman primate brains, International Workshop “Monitoring and manipulating brain function in non-human primates”, 2018 BibTeX
  52. 52. Kimura K, Tanabe S, Fujiwara M, Nagai Y, Minamimoto T, Inoue K, Takada M, Neuron-specific efficient gene transduction in the primate brain with Morphological modified AAV vectors., International Workshop “Monitoring and manipulating brain function in non-human primates”, 2018 BibTeX
  53. 53. Mimura K, Nagai Y, Inoue K, Matsumoto J, Suhara T, Nishijo H, Takada M, Minamimoto T, Using PET imaging to monitor chemogenetic manipulation of nigrostriatal dopamine system in common marmoset., International Workshop “Monitoring and manipulating brain function in non-human primates”, 2018 BibTeX
  54. 54. Inoue K, Development of viral vectors for delivering functional molecules into nonhuman primate brains., 第41回日本神経科学大会, 2018 BibTeX
  55. 55. *小川 剛史, 守谷 大樹, 山田 貴志, 川鍋 一晃, 平山 淳一郎, EEG信号のネットワーク成分抽出法：SPLICEを用いたデータ駆動的アプローチ, 第41回日本神経科学大会, 2018 BibTeX
  56. 56. *高木 優, 平山 淳一郎, 田中 沙織, 状態非依存的な全脳ネットワークは知性と人生の成果を予測する, 第41回日本神経科学大会, 2018 BibTeX
  57. 57. *Kento Suzuki, Tatsuya Haga, Tomoki Fukai, A neural circuit model of pattern classification with dendritic activities, 第41回日本神経科学大会, 2018 BibTeX
  58. 58. *Toshitake Asabuki, Tomoki Fukai, Chunking information streams by dendritic minimization of surprise signals, 第41回日本神経科学大会, 2018 BibTeX
  59. 59. *Takashi Hayakawa, Tomoki Fukai, Spontaneous and stimulus-induced coherent states of dynamically balanced neuronal networks, 第41回日本神経科学大会, 2018 BibTeX
  60. 60. Mimura K, Nagai Y, Inoue K, Suhara T, Takada M, Minamimoto T, Using PET imaging to monitor chemogenetic manipulation of nigrostriatal dopamine system in common marmoset., 第41回日本神経科学大会, 2018 BibTeX
  61. 61. Kimura K, Tanabe S, Fujiwara M, Nakano M, Nagai Y, Minamimoto T, Inoue K, Takada M, Neuron-specific efficient gene transduction in the primate brain with modified AAV vectors., 第41回日本神経科学大会, 2018 BibTeX
  62. 62. *Yamane Y, Ito J, Joana C, Fujita I, Tamura H, Maldonado P, Doya K, Grun S, Inferring fixated objects in free viewing from parallel neuronal spiking activities in macaque monkeys, The 41st Annual Meeting of the Japan Neuroscience Society, 2018 BibTeX
  63. 63. 惲夢曦, 川合隆嗣, 禰占雅史, 山田洋, *松本正幸, 意思決定時におけるサル中脳ドーパミンニューロンと前頭眼窩ニューロンの報酬価値と選択行動の表現形式, 第４１回日本神経科学大会, 2018 BibTeX
  64. 64. 豊島理, 王亜偉, 山田洋, *松本正幸, ダイナミックに変動する報酬価値をコードする線条体ニューロンの探索, 第４１回日本神経科学大会, 2018 BibTeX
  65. 65. *谷口忠大, 実環境に適応する統合的認知機能の形成に向けて～記号創発ロボティクス～, 第41回日本神経科学大会, 2018 BibTeX
  66. 66. 髙橋 英彦, 脳画像からみた情動・意思決定と精神障害, 日本神経科学会, 2018 BibTeX
  67. 67. *Benucci A., Sensory Representation Plasticity Driven by Patterned Optogenetic Stimulation in the Mouse Cortex, Japan Neuroscience meeting, 2018 BibTeX
  68. 68. 小口峰樹，*坂上雅道, ウイルスベクター二重遺伝子導入法を用いた化学遺伝学的不活化によるマカク前頭前野-線条体回路の機能解明, 平成30年度第1回大脳基底核機能研究会, 2018 BibTeX
  69. 69. *疋田貴俊, Distinct roles of the direct and indirect striatal pathways in cognitive learning, 第243回つくばブレインサイエンス・セミナー, 2018 BibTeX
  70. 70. 栁澤琢史、福間良平、田中将貴、青江丈、山本祥太、原田達也、貴島晴彦, 脳磁図ビッグデータと深層学習を用いた新しい診断方法の開発, 第33回日本生体磁気学会, 2018 BibTeX
  71. 71. *Uchibe E, Forward and inverse reinforcement learning and generative adversarial formulation, NC/IBISML/IPSJ-MPS/IPSJ-BIO合同研究会, 2018 BibTeX
  72. 72. *鈴木 雅大,松尾豊, 半教師ありマルチモーダル深層生成モデルにおける共有表現の有効性と単一モダリティ入力への拡張, 人工知能学会全国大会2018, 2018 BibTeX
  73. 73. *久保 静真,岩澤 有祐,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, 人工知能学会全国大会2018, 2018 BibTeX
  74. 74. *林楓, 岩田具治, 谷口忠大, 深層混合モデルによるクラスタリング, 2018年度 人工知能学会全国大会（第32回）(JSAI2018), 2018 BibTeX
  75. 75. *岩澤 有祐,松尾豊, 類似度学習を用いた敵対的訓練による特徴表現の検閲, 人工知能学会全国大会2018, 2018 BibTeX
  76. 76. *尾崎 僚, 谷口 忠大, ノンパラメトリックベイズ二重分節解析器の高速化に関する研究, 2018年度 人工知能学会全国大会（第32回）(JSAI2018), 2018 BibTeX
  77. 77. *黄瀬輝, 谷口忠大, Generative Adversarial Imitation Learningにタスク達成報酬を付加した動作の学習, 2018年度 人工知能学会全国大会（第32回）(JSAI2018), 2018 BibTeX
  78. 78. *谷口忠大, 記号創発ロボティクスが目指す自律適応型AIアーキテクチャ, 2018年度 人工知能学会全国大会（第32回）(JSAI2018), 2018 BibTeX
  79. 79. 升森 敦士, 丸山 典宏, シナパヤ ラナ, 池上 高志, 身体化されたニューラルネットワークにおける自律的な内と外の境界の規定, 人工知能学会全国大会2018, 2018 BibTeX
  80. 80. *冨山 翔司,岩澤 有祐,松尾豊, 系列生成器の訓練のためのエキスパート系列に基づく報酬関数の学習方法の提案,, 人工知能学会全国大会2018, 2018 BibTeX
  81. 81. Doya K, Neural circuits for reinforcement learning and mental simulation, OIST-KAIST Symposium: Intelligence in Biological Systems and Its Application to Machines, 2018 BibTeX
  82. 82. *内部英治, 方策探査法のための多重重点サンプリングを用いた経験再利用, ロボティクス・メカトロニクス講演会 (ROBOMECH 2018), 2018 BibTeX
  83. 83. *Wang J, Uchibe E, EM-based policy search for learning foraging and mating behaviors, ロボティクス・メカトロニクス講演会 (ROBOMECH 2018), 2018 BibTeX
  84. 84. 松嶋達也、大澤昇平、松尾豊, 内的報酬と敵対的学習によるタスク非依存な注意機構の学習, 人工知能学会全国大会, 2018 BibTeX
  85. 85. *坂上雅道, サル前頭前野皮質脳波信号からの価値情報のデコーディングとニューロフィードバックによる価値情報の変更, 新学術領域研究「人工知能と脳科学」「適応回路シフト」合同領域会議研究戦, 2018 BibTeX
  86. 86. 銅谷賢治, 脳の回路モジュールはなぜうまく繋がれるのか, 第3回 全脳アーキテクチャシンポジウム 「脳に学んで良き汎用知能に至る道筋」, 2018 BibTeX
  87. 87. 成沢 淳史*， 下田 和， 柳井 啓司, 深層学習による質感文字生成, 人工知能学会全国大会, 2018 BibTeX
  88. 88. 杉山 優*， 柳井 啓司, 画像内容を考慮した質感表現に基づく画像変換, 人工知能学会全国大会, 2018 BibTeX
  89. 89. 栁澤琢史, 皮質脳波による視覚再構成BMI, 感覚器研究 イニシアチブ・シンポジウム, 2018 BibTeX
  90. 90. *Masayuki Matsumoto, Role of the nigrostriatal dopamine system in response inhibition, 日本生理学会, 2018 BibTeX
  91. 91. *朝吹俊丈, 平谷直輝, 深井朋樹, 相互に教え合うリザーバ計算モジュールによるチャンク学習, 日本物理学会 第73回年次大会, 2018 BibTeX
  92. 92. *橋本 さゆり，金子晃，小林一郎, 深層強化学習を用いたロボットの自然言語による制御への取組み, 言語処理学会第24回年次大会(NLP2018), 2018 BibTeX
  93. 93. 成沢淳史*，柳井啓司, スタイル転移によるフォント画像変換, 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), 2018 BibTeX
  94. 94. 丹野良介*，會下拓実，柳井啓司, AR DeepCalorieCam: AR表示型食事カロリー量推定システム, データ工学と情報マネジメントに関するフォーラム(DEIM), 2018 BibTeX
  95. 95. 成冨志優*，堀田大地，丹野良介，下田和，柳井啓司, Conditional GANによる食事写真の属性操作, データ工学と情報マネジメントに関するフォーラム(DEIM), 2018 BibTeX
  96. 96. 伊藤祥文*，丹野良介，柳井啓司, Conditional GANを用いた大規模食事画像データからの画像生成, 電子情報通信学会 食メディア研究会(CEA), 2018 BibTeX
  97. 97. 會下拓実*，柳井啓司, 単一の畳み込みネットワークによる料理検出とカロリー量推定のマルチタスク学習, 電子情報通信学会 食メディア研究会(CEA), 2018 BibTeX
  98. 98. *Tanskanen T, Kao CH, Waggoner RA, Ueno K, Tanaka K, Cheng K, Category selectivity in the human face-selective cortex assessed with columnar resolution fMRI, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 2nd Scientific Meeting, 2018 BibTeX
  99. 99. *Suzuki C, Waggoner RA, Haruhana K, Tanaka K, Ueno K, Evaluation of motion effects on physiological noise correction in fMRI studies, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 2nd Scientific Meeting, 2018 BibTeX
  100. 100. *Haruhana K, Suzuki C, Tanaka K, Ueno K, Evaluation of combining method for RF array coil data in fMRI study, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 2nd Scientific Meeting, 2018 BibTeX
  101. 101. *Gupta S, Tanaka K, Waggoner RA, Simulations of various numerical leg models to ensure safety during parallel transmission MRI, International Society for Magnetic Resonance in Medicine (ISMRM) Japanese Chapter 2nd Scientific Meeting, 2018 BibTeX
  102. 102. Takufumi Yanagisawa, BMI induced plasticity modulates phantom limb pain, The 4th CiNet Conference, 2018 BibTeX
  103. 103. *宮崎勝彦, 報酬待機行動を制御するセロトニンの役割ーoptogeneticsによる検証ー, セロトニン研究会, 2018 BibTeX
  104. 104. *J. Chikazoe, 表象類似度解析による脳内価値表象の解明, 脳機能イメージング研究部定例会, 2018 BibTeX
  105. 105. 柳澤琢史、福間良平、Ben Seymour、細見晃一 、貴島晴彦、吉峰俊樹、神谷之康、齋藤洋一, MEG-BMIによる幻肢痛の制御, 定位機能脳神経外科学会, 2018 BibTeX
  106. 106. 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および小脳から前部・後部帯状皮質への多シナプス性入力様式 , 2018 BibTeX
  107. 107. 南本敬史、三村喬生、永井裕司、井上謙一、須原哲也、高田昌彦, 化学遺伝学とPET イメージングの融合による黒質線条体ドーパミン神経活動制御, 2018 BibTeX
  108. 108. 三村 喬生, 永井 裕司, 井上 謙一, 須原 哲也, 高田 昌彦, 南本 敬史*, 化学遺伝学とPETイメージングの融合による黒質線条体ドーパミン神経活動制御, 第七回 日本マーモセット研究会大会, 2018 BibTeX
  109. 109. 三村 喬生、松本 惇平、西条 寿夫、須原哲也、南本 敬史*, 機械学習を用いた自由行動下における頭部方向測定法の開発, 第七回 日本マーモセット研究会大会, 2018 BibTeX
  110. 110. 栁澤琢史, MEGによるバイオマーカー探索とニューロフィードバック, MD-CNS障害研究会, 2018 BibTeX
  111. 111. *Zobnin S, Li Y, Doya K, Experimental investigation of hierarchical Bayesian inference in sensory and motor cortices, 脳と心のメカニズム第18回冬のワークショップ, 2018 BibTeX
  112. 112. Takamuku Shinya, Gomi Hiroaki, Constancy of walking speed adjustment based on optic flow depends on monocular and binocular depth cues, 第17回 脳と心のメカニズム 冬のワークショップ, 2018 BibTeX
  113. 113. *Gomi H, Implicit visuomotor control and its effect on self-awareness, Workshop on mechanism of brain and mind. 2018., 2018 BibTeX
  114. 114. *安部川直稔, 五味裕章, Vestibular contribution to egocentric body representation., 第18回脳と心のメカニズムワークショップ, 2018 BibTeX
  115. 115. *高椋慎也, 五味裕章, Constancy of walking speed adjustment based on optic flow., 第18回脳と心のメカニズムワークショップ, 2018 BibTeX
  116. 116. *Takemura A, Abekawa N, Gomi H,, Effects of lesions in the Medial Superior Temporal (MST) Area on shortlatency manual following responses (MFR) of monkeys, 第18回 脳と心のメカニズム 冬のワークショップ, 2018 BibTeX

Book

  1. 1. *疋田貴俊, どうして麻薬にはまるの？, 化学同人, 2018 BibTeX
  2. 2. *山口隆司, タンパク質がオスとメスの性行動の違いをつくるの？, 化学同人, 2018 BibTeX
  3. 3. *疋田貴俊, 動物モデル, 最新医学社, 2018 BibTeX

Prize

  1. 1. 安部川 直稔, Different spatial eye-hand coordination forms distinct motor memories in implicit visuomotor adaptation, 次世代脳プロジェクト冬のシンポジウム2018　若手優秀発表賞, 2018 BibTeX
  2. 2. 水谷晃大（疋田Lab), Characteristic Whisker Movements Reflect the Internal State of Mice Related to Reward Anticipation, 日本神経回路学会大会奨励賞, 2018 BibTeX
  3. 3. 橋本侑樹（山下Lab）, Convolutional Auto-encoder for Resting-state Functional MRI, 日本神経回路学会第28回全国大会大会奨励賞, 2018 BibTeX
  4. 4. OIT Challenger & Duckers （谷口Lab), OIT Challenger & Duckers, NEDO Chairman’s Award for Excellence in World Robot Summit （NEDO理事長賞）, World Robot Challenge 2018, Service Category, Partner Robot Challenge (Real Space), Tokyo, 2018 BibTeX
  5. 5. eR@sers （谷口Lab), eR@sers, WRS Executive Committee Chairperson’s Award（WRS実行委員長賞), World Robot Challenge 2018, Service Category, Partner Robot Challenge (Virtual Space), Tokyo, 2018 BibTeX
  6. 6. NAIST-Rits-Panasonic （谷口Lab), NAIST-Rits-Panasonic, NEDO Chairman’s Award for Excellence in World Robot Summit （NEDO理事長賞）, World Robot Challenge 2018, Service Category, Future Convenience Store Challenge, Customer Task, Tokyo, 2018 BibTeX
  7. 7. NAIST-Rits-Panasonic （谷口Lab), NAIST-Rits-Panasonic, SICE Award for Future Convenience Store Challenge（計測自動制御学会賞）, World Robot Challenge 2018, Service Category, Future Convenience Store Challenge, Customer Task, Tokyo, 2018 BibTeX
  8. 8. 山下祐一（山下Lab), Aberrant sense of agency induced by delayed prediction signal in schizophrenia: a computational modeling study, International Consortium on Hallucination Research (ICHR) Best Poster Presentation Award, 2018 BibTeX
  9. 9. 水谷晃大（疋田Lab), National Tsing Hua University-Osaka University International Student Symposium Best Presentation Award, 2018 BibTeX
  10. 10. Kenji Doya, Donald O. Hebb Award, International Neural Network Society, 2018 BibTeX
  11. 11. Kohei Ogawa, Itsuki Doi, Takashi Ikegami, and Hiroshi Ishiguro, Alter, STARTS PRIZE Ars Electronica 2018, 2018 BibTeX
  12. 12. Kohei Ogawa, Itsuki Doi, Takashi Ikegami, and Hiroshi Ishiguro, Alter, Ars Electronica 2018 Award of Distinction, 2018 BibTeX
  13. 13. Ri-one （谷口Lab), Ri-one, 3rd Place, RoboCup 2018, @Home Education Challenge, Canada, 2018 BibTeX
  14. 14. Duckers （谷口Lab), Duckers, 3rd Place, World Robot Challenge Pre-event, Service Category, Partner Robot Challenge (Virtual Space), Gifu, 2018 BibTeX
  15. 15. 谷口彰 （谷口Lab), WBAI奨励賞, WBAI奨励賞, 2018 BibTeX
  16. 16. OIT Challenger & Duckers （谷口Lab), OIT Challenger & Duckers, 3rd Place, RoboCup Japan Open 2018, @Home Domestic Standard Platform League, Gifu, 2018 BibTeX
  17. 17. Atsushi Masumori (Ikegami Lab), 身体化されたニューラルネットワークにおける自律的な内と外の境界の規定, 人工知能学会全国大会2018優秀賞, 2018 BibTeX
  18. 18. Atsushi Masumori (Ikegami Lab), Autonomous Regulation of Self and Non-Self by Stimulation Avoidance in Embodied Neural Networks2018, Artificial Life Conference 2018 Special “Beyond AI” Paper Award, 2018 BibTeX
  19. 19. 丹野良介，會下拓実，柳井啓司, AR DeepCalorieCam: AR表示型食事カロリー量推定システム, 第10回データ工学と情報マネジメントに関するフォーラム（DEIM2018） 優秀インタラクティブ賞, 2018 BibTeX

Press Release

  1. 1. Tadahiro Taniguchi, 森山和道の「ヒトと機械の境界面」記号創発ロボティクスが目指す汎用人工知能, PC Watch, 2018, 国内,ネットニュース BibTeX
  2. 2. 松本正幸（筑波大学）, 衝動的行動抑える仕組み, 日本経済新聞, 2018 BibTeX
  3. 3. Tomoki Fukai, 意思決定の脳内機構と個体差－神経活動の外的擾乱に対する感受性が行動選択の個性を決める－, press release, 2018, https://www.riken.jp/press/2018/20181114_1/ BibTeX
  4. 4. Kenji Doya (OIST), Researchers identify three shades of blue, OIST News Center, 2018, https://www.oist.jp/news-center/news/2018/10/30/researchers-identify-three-shades-blue BibTeX
  5. 5. Tadahiro Taniguchi, 京都の連携2018成長のエンジン, 日刊工業新聞, 2018, 国内,新聞 BibTeX
  6. 6. Tadahiro Taniguchi, AI人材1000人を目指すパナ、クロスアポイントメント制度で招いた男, 日経XTECH(クロステック）, 2018, 国内,ネットニュース BibTeX
  7. 7. Kenji Doya (OIST), Uncertainty in reward timing increases the effect of serotonin promoting waiting, OIST News Center, 2018, https://www.oist.jp/news-center/photos/uncertainty-reward-timing-increases-effect-serotonin-promoting-waiting BibTeX
  8. 8. Kenji Doya (OIST), Reward-predictive signals of a striosomal neuron during the odor association task, OIST News Center, 2018, https://www.oist.jp/news-center/photos/reward-predictive-signals-striosomal-neuron-during-odor-association-task BibTeX
  9. 9. 柳澤琢史, 念じて義手を動かせば痛みが和らぐ！？, 日経デジタルヘルス, 2018, https://xtech.nikkei.com/dm/atcl/feature/15/327441/022200338/ BibTeX
  10. 10. Andrea Benucci (Akira Tachiyama/Photon Create), 機械学習と実験により、脳の普遍的な計算原理を探る, RIKEN, 2018, https://www.riken.jp/medialibrary/riken/pr/publications/news/2018/rn201801.pdf BibTeX

Other

  1. 1. 中原裕之, ヒトの意思決定／学習／社会知性の脳メカニズムと脳計算, 理研イブニングセミナー（東京）, 2018, 理化学研究所、東京連絡事務所, 企業の方 BibTeX
  2. 2. *森本淳, ロボット制御のための運動学習, 応用脳科学コンソーシアム「計算神経科学ワークショップ」, 2018, AP品川（東京都）, invited, 一般向け講演会 BibTeX
  3. 3. Huriye Atilgan, Alex C. Kwan, Same lesson, varied choices by frontal cortex, Nature Neuroscience, 2018, News & Views: https://doi.org/10.1038/s41593-018-0282-2 BibTeX
  4. 4. 髙橋 英彦, 社会脳から見たギャンブル, 日本学術会議近畿地区会議 学術講演会, 2018, 京都大学 国際科学イノベーション棟5階 シンポジウムホール, 一般向け講演会 BibTeX
  5. 5. 三村 喬生, BeggineR Session – Data pipeline -, 第73回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  6. 6. 疋田貴俊, こころをつくる脳の蛋白質, 沖縄県平成30年度新学力グレードアップ推進事業, 2018, 大阪大学蛋白質研究所、吹田市, 高校生向け模擬授業 BibTeX
  7. 7. 小村 豊, Feeling of Knowing or Unknowingの分岐機序, 第2回サロン・ド・脳, 2018, 京都大学, サイエンスカフェ BibTeX
  8. 8. 谷口忠大, 次世代人工知能 人工知能・ロボティクスと記号学の学際融合拠点形成, イノベーションジャパン 2018 大学組織展示プレゼンテーション, 2018, 一般向け講演会・セミナー BibTeX
  9. 9. 谷口忠大, 実環境に適応する統合的認知機能の形成に向けて～記号創発ロボティクス～, 産学連携シンポジウム『人工知能と脳科学の共進化が創る未来』, 2018, 一般向け講演会・セミナー BibTeX
  10. 10. 谷口忠大, 記号創発ロボティクスに基づく認知アーキテクチャの創造に向けて, 玉川大学, 2018, 一般向け講演会・セミナー BibTeX
  11. 11. 谷口忠大, 組込み技術者のための機械学習とディープラーニング, 組み込み適塾, 2018, 一般向け講演会・セミナー BibTeX
  12. 12. 三村 喬生, Landscape with R – the Japanese R community -, 第71回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  13. 13. *森本淳, ロボットの運動学習とその困難さ, SHIBUYA SYNAPSE 第3回「現在の強化学習に何が足りないのか？」, 2018, 株式会社ディー・エヌ・エー（東京都）, invited, 一般向け講演会 BibTeX
  14. 14. 谷口忠大, インタラクションを通したロボットの言語獲得, Lecture at「情報学展望」 ＠京都大学８号館NSホール, 2018, 一般向け講演会・セミナー BibTeX
  15. 15. 三村 喬生, BeggineR Session – Bayesian Modeling -, 第70回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  16. 16. *疋田貴俊, マウスの動きから脳のはたらきを知る, 大阪大学いちょう祭, 2018, 大阪大学蛋白質研究所、吹田市, イベント参加 BibTeX
  17. 17. 三村 喬生, BeggineR Session – Data Import/Export -,, 第69回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  18. 18. Doya, Kenji, Neural circuits for reinforcement learning and mental simulation, 2018, Cold Spring Harbor Laboratory, USA, Seminar BibTeX
  19. 19. 森本淳, ヒューマノイドロボットのための人工知能, 脳科学と人工知能」高校生理科教室, 2018, 東京都, Invited# BibTeX
  20. 20. Yu Takagi, Jun-ichiro Hirayama, Saori C Tanaka, State-Unspecific Modes of Whole-Brain Functional Connectivity Predict Intelligence and Life Outcomes, bioRxiv, https://doi.org/10.1101/283846, 2018, # BibTeX
  21. 21. Doya, Kenji, Neural Circuit for Mental Simulation, 2018, Princeton Neuroscience Institute, USA, Seminar BibTeX
  22. 22. Doya, Kenji, How does the brain wire up itself on the fly?, 2018, Institute for Advanced Study, Princeton, USA, Seminar BibTeX
  23. 23. 中原裕之, Neuroscience, law, moral, 裁判所職員研修, 2018, 理化学研究所、和光, 裁判所職員 BibTeX
  24. 24. 池上高志, ALIFE, Art Hack Day 2018, 2018 BibTeX
  25. 25. 三村 喬生, R初心者セッション -Data import/Export, 第68回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  26. 26. Jun Morimoto, Learning assistive strategies for BMI exoskeleton robots, Brain AI symposium, 2018, Korea, Invited# BibTeX
  27. 27. 三村 喬生, R初心者セッション -Data manipulation, 第67回 Tokyo.R, 2018, 一般向け講演会・セミナー BibTeX
  28. 28. 三村 喬生, 自然非言語への挑戦, 第4回 Language & Robotics研究会, 2018, 一般向け講演会・セミナー、oral presentation (査読なし) BibTeX
  29. 29. 池上高志，植田工, マリア・人工生命・膜・魚, 青森トリエンナーレ, 2018 BibTeX
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