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国際会議 講演・発表

  1. 1. *Hikida T, Kim J, Macpherson T, Nucleus accumbens D2-receptor-expressing neurons regulate reversal learning in the Attentional Set Shifting Test., 2020 BibTeX
  2. 2. Nishioka T, Hikida T, Choose a good option or avoid a bad option: D2-MSN in the NAc selectively contributes to the strategy to avoid a bad option under decision., 2020 BibTeX
  3. 3. *Hikida T, The role of the parallel pathways in the nucleus accumbens for reward and aversive learning., 2020 BibTeX
  4. 4. Macpherson T, Yao S, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A, Hikida T, Altered medial prefrontal cortex gene expression following nucleus accumbens pathway neurotransmission blocking., 2020 BibTeX
  5. 5. *Hikida T, Macpherson T, Mizoguchi H, Yamanaka A., 2018 BibTeX
  6. 6. Hayakawa T, Fukai T, The mean-field theory of dynamically balanced neuronal networks, 2018 BibTeX
  7. 7. Macpherson T, Mizoguchi H, Yamanaka A, Hikida T, Ventral pallidum neurons control aversive learning., 2018 BibTeX
  8. 8. *Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto, Deep Encoder-Decoder Networks for Mapping Raw Images to Movement Primitives, 2018 5, reviewed# BibTeX
  9. 9. Shinsuke Suzuki, Food value computation in the human orbitofrontal cortex, 2018 , invited BibTeX
  10. 10. Hiroaki Shioya, Yusuke Iwasawa, Yutaka Matsuo, Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity, 2018 4 BibTeX
  11. 11. Joji Toyama, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo, Expert-based reward function training: the novel method to train sequence generators,, 2018 4 BibTeX
  12. 12. Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo, Neuron as an Agent, 2018 4 BibTeX
  13. 13. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , New York University, USA, 2018.3.18 BibTeX
  14. 14. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , Cold Spring Harbor Laboratory, USA, 2018.3.19 BibTeX
  15. 15. So Fujimoto, Yutaka Komura*, Neurobiology and statistics of reflective minds in primates, 2018 BibTeX
  16. 16. *Yoshizawa T, Ito M, Doya K, Cell-type specific calcium imaging of striatal neurons in the striosome compartments during an odor-conditioning task, 2018 , Four Points Sheraton/Holiday Inn Express, Ventura, CA, US, 2018.3.15 BibTeX
  17. 17. Doya K, How does the brain wire up itself on the fly?, 2018 , Institute for Advanced Study, Princeton, USA, 2018.3.14, invited BibTeX
  18. 18. Doya K, Neural Circuit for Mental Simulation, 2018 , Princeton Neuroscience Institute, USA BibTeX
  19. 19. Doya K, Imaging the neural circuit for mental simulation, 2018 , Denver City, USA, 2018.3.5 BibTeX
  20. 20. Hamasaki Y, Nakayama T, Hikida T, Childhood subclinical characteristics in schizophrenia – toward the early screening for the risk of schizophrenia, 2018 BibTeX
  21. 21. Takagishi, H., Sakagami, M., & Yamagishi, T, Social Value Orientation is Associated with the Role of Right Dorsolateral Prefrontal Cortex in Prosocial Behavior, 2018 3 BibTeX
  22. 22. Kurikawa T, Handa T, Fukai T, Different neural landscape regulates individual differences in sensory-guided decision making, 2018 BibTeX
  23. 23. Fung C.C, Fukai T, Discrete-attractor-like motion in continuous-attractor neural field models, 2018 BibTeX
  24. 24. Fukai T, Information transfer during slow oscillations in cortical networks, 2018 , invited BibTeX
  25. 25. Kurikawa T, Fukai T, Dynamic modulation in communications between Hippocampus and Medial entorhinal cortex depending on cognitive state, 2018 BibTeX
  26. 26. Shinsuke Suzuki, Value computation in the human brain: its basis and contagious nature, 2018 , invited BibTeX
  27. 27. Fukai T, Reservoir computing for chunking and decision-making, 2018 , invited BibTeX
  28. 28. Fukai T, Sequence learning through reverse replay and preplay in hippocampal circuit models., 2018 , invited BibTeX
  29. 29. Fukai T, Dendritic canonical correlation analysis for memory and sensory information processing., 2018 , invited BibTeX
  30. 30. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , Gold Hall and Ruby Hall, WellyHilly park, South Korea, 2018.1.30, invited BibTeX
  31. 31. Masamichi Sakagami, Decoding the value related signal represented in multiple areas of the prefrontal cortex using ECoG electrodes, 2018 1, invited BibTeX
  32. 32. Masamichi Sakagami, Multiple Neural Circuits In Value-based Decision Making, 2018 1, invited BibTeX
  33. 33. Doya K, What should we further learn from the brain?, 2018 , WellyHilly park, South Korea, 2018.1.29 BibTeX
  34. 34. T. Yanagisawa, Brain-machine interface to modulate cortical functions, 2018 BibTeX
  35. 35. Macpherson T, Mizoguchi H, Yamanaka A, Hikida T, Ventral pallidum neurons control aversive learning., 2018 BibTeX
  36. 36. Ryosuke Tanno and Keiji Yanai, AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality, 2018 2, reviewed BibTeX
  37. 37. Eiji Uchibe*, Efficient Sample Reuse in Policy Search by Multiple Importance Sampling, 2018 , reviewed# BibTeX
  38. 38. Stefan Elfwing*, Eiji Uchibe, and Kenji Doya, Online Meta-Learning by Parallel Algorithm Competition, 2018 , reviewed# BibTeX
  39. 39. Doya K, Neural circuits for reinforcement learning and mental simulation, 2017 , Queensland Brain Institute, The University of Queensland, Brisbane, Australia, 2017.12.14, invited BibTeX
  40. 40. *Hikida T, Macpherson T, Nucleus accumbens D1 receptor expressing neurons control sutoshaping behavior., 2017 BibTeX
  41. 41. Macpherson T, *Hikida T, Dopamine D2L receptors control flexible behavior., 2017 BibTeX
  42. 42. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh, MEG-Neurofeedback for phantom limb pain, 2017 BibTeX
  43. 43. *Tadahiro Taniguchi, Symbol Emergence in Robotics: from sensorimotor information to language, 2017 , invited BibTeX
  44. 44. Fukai T, Unsupervised reservoir computing for chunking sequence information., 2017 BibTeX
  45. 45. 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, 2017 11 BibTeX
  46. 46. *J. Hirayama, T. Ogawa, H. Moriya, A. Hyvärinen & M. Kawanabe, Exploring EEG source resting-state networks by SPLICE: A simultaneous fMRI study, 2017 , reviewed# BibTeX
  47. 47. *T. Ogawa, H. Moriya, T. Yamada, M. Kawanabe & J. Hirayama, Prediction of resting state fMRI signatures from EEG signal: a study of EEG-fMRI simultaneous recording, 2017 , reviewed# BibTeX
  48. 48. *H. Moriya, T. Ogawa, M. Kawanabe, J. Hirayama, Predictability of amygdala BOLD signal from multiple-electrode EEGs, 2017 , reviewed# BibTeX
  49. 49. *Hikida T, Basal ganglia network mechanisms in cognitive learning, 2017 , invited BibTeX
  50. 50. 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, 2017 , invited BibTeX
  51. 51. *Reinke C, Doya K, Adaptation of Optimization Algorithms to Problem Domains by Transfer Learning, 2017 , OIST, 2017.11.24 BibTeX
  52. 52. Benucci A., Sensory Representation Plasticity Driven by Single Neurons in the Mouse Cortex, 2017 Nov, Invited talk BibTeX
  53. 53. Doya K, What can we further learn from the brain?, 2017 , Guangzhou, China, 2017.11.16, invited BibTeX
  54. 54. *Jun-ichiro FURUKAWA, Asuka TAKAI,Jun MORIMOTO, Database-driven approach for biosignal-based robot control with collaborative filtering, 2017 11, reviewed# BibTeX
  55. 55. Haga T, Fukai T, Reverse replay strengthens forward pathways to reward through Hebbian learning and short-term depression., 2017 BibTeX
  56. 56. *Yoshizawa T, Ito M, Doya K, Neural representation of sensory-state value in the striatal striosome compartment , 2017 , Walter E. Washington Convention Center, Washington DC, USA, 2017.11.14 BibTeX
  57. 57. 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, 2017 BibTeX
  58. 58. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for deciding with predicting others in human brain, 2017 BibTeX
  59. 59. 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, 2017 11 BibTeX
  60. 60. Tsubota T., *Benucci A., Plasticity for stimulus selectivity in the visual cortex of adult mice induced by patterned optogenetic stimulation, 2017 Nov BibTeX
  61. 61. Asabuki T, Fukai T, Chunk learning from complex sequences by mutually supervising recurrent neural networks, 2017 BibTeX
  62. 62. DeCostanzo A, Fukai T, A local supervised learning rule protects memories from catastrophic interference during subsequent unsupervised learning., 2017 BibTeX
  63. 63. 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., 2017 , 　 BibTeX
  64. 64. 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., 2017 11, Washington, DC, USA BibTeX
  65. 65. 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
  66. 66. 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., 2017 11, Washington, DC, USA BibTeX
  67. 67. Sidney Lehky, A Phan, A Cichocki, and Keiji Tanaka, Coding of faces by tensor components, ポスター発表 BibTeX
  68. 68. Kurikawa T, Handa T, Fukai T, Instability of neural trajectories in medial frontal cortex predicts individual differences in perceptual decision making., 2017 BibTeX
  69. 69. J. Matsumoto, H. Nishimaru, Y. Takamura, K. Mimura, A. Asaba, W. Suzuki, N. Ichinohe, T. Minamimoto, T. Ono, H. Nishijo, 3D-Tracker, an open-source 3D video based behavioral analysis system for laboratory animals for neuroscience, 2017 November BibTeX
  70. 70. Macpherson T, *Hikida T, Nucleus Accumbens D1 receptor expressing neurons control autoshaping behavior, 2017 BibTeX
  71. 71. *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, 2017 BibTeX
  72. 72. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates., 2017 11, invited, Washington, DC, USA BibTeX
  73. 73. *Parmas P, Peters J, Doya K, The optimal-baseline estimator is not the optimal baseline-estimator, 2017 , Tokyo, Japan, 2017.11.10 BibTeX
  74. 74. 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, 2017 , poster BibTeX
  75. 75. Mao Noguchi, So Fujimoto, Akihiko Nikkuni, Yutaka Komura*, Core of neural network for conscious states and percepts in primate, 2017 , invited BibTeX
  76. 76. *Sayuri Hashimoto and Ichiro Kobayashi, A Basic Study on Action Control Using Deep Reinforcement Learning, 2017 , reviewed BibTeX
  77. 77. *Hikida T, Neuronal circuit mechanisms in reward and aversive behavior., 2017 , invited BibTeX
  78. 78. *Masumori, A., Maruyama, N., Mita, T., Bakkum, D., Frey, U., Takahashi, H.,& Ikegami, T, Learning by Stimulation Avoidance in Cultured Neuronal Cells, 2017 , reviewed BibTeX
  79. 79. *Maruyama, N., Hashimoto, Y., Mototake, Y., Saito, D., & Ikegami, T, Revisiting Classification of Large Scale Flocking, 2017 , reviewed BibTeX
  80. 80. *Hashimoto, Y., Ikegami, T, Novelty production in tagging crowds, 2017 , reviewed BibTeX
  81. 81. Tanno, T., Horie, K., Izawa, J. and Morita, M, Robustness of Selective Desensitization Perceptron Against Irrelevant and Partially Relevant Features in Pattern Classification, 2017 11, 520-529 BibTeX
  82. 82. *Reinke C, Uchibe E, Doya K, Average Reward Optimization with Multiple Discounting Reinforcement Learners, 2017 , Guangzhou, China, 2017.10.24 BibTeX
  83. 83. Doya K, Artificial Intelligence and Brain Science, 2017 , Kyungpook National University, Daegu, Korea, 2017.10.19 BibTeX
  84. 84. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, 2017 , invited BibTeX
  85. 85. Takanori Uka, Neural mechanism of flexible sensory decision making, invited BibTeX
  86. 86. BibTeX
  87. 87. Masamichi Sakagami, Dissociable functions of reward inference in the lateral prefrontal cortex and the striatum, 2017 10, invited BibTeX
  88. 88. *Yoshizawa T, Ito M, Doya K, Coding of value information in the striatal striosome compartment, 2017 , CHÂTERAISÉ Gateaux Kingdom SAPPORO, Japan, 2017.10.4 BibTeX
  89. 89. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control Pavlovian approach behaviour., 2017 BibTeX
  90. 90. Takufumi Yanagisawa, BMI robotic hand controls phantom limb pain, 2017 , invited BibTeX
  91. 91. *Masashi HAMAYA, Takamitsu MATSUBARA, Tomoyuki NODA,Tatsuya TERAMAE,Jun MORIMOTO, User-robot collaborative excitation for PAM model identification in exoskeleton robots, 2017 9, reviewed# BibTeX
  92. 92. *Yuki Tada, Yoshinobu Hagiwara, +Tadahiro Taniguchi, Comparative Study of Feature Extraction Methods for Direct Word Discovery with NPB-DAA from Natural Speech Signals, 2017 9, reviewed# BibTeX
  93. 93. *Yuusuke Miyuki, Yoshinobu Hagiwara and +Tadahiro Taniguchi, Unsupervised Learning for Spoken Word Production based on Simultaneous Word and Phoneme Discovery without Transcribed Data, 2017 9, reviewed# BibTeX
  94. 94. Hayakawa T, Fukai T, Interplay of microscopic and macroscopic dynamics in randomly connected neuronal networks. , 2017 BibTeX
  95. 95. *Sinapayen, L., & Ikegami, T, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, 2017 , reviewed BibTeX
  96. 96. *Hiroki Kojima,Takashi Ikegami, VAEGAN as a New Perception Model, 2017 , reviewed BibTeX
  97. 97. *Masumori, A., Sinapayen, L., & Ikegami, T, Learning by Stimulation Avoidance Scale to Large Neural Networks, 14th European Conference on Artificial Life, 2017 , reviewed BibTeX
  98. 98. *Doi, I., Ikegami, T., Masumori, A., Kojima, H., Ogawa K., & Ishiguro, H, A new design principle for an autonomous robot, 2017 , reviewed BibTeX
  99. 99. Nakahara H., Reinforcement learning with environmental structures and mind of others, 2017 , invited talk BibTeX
  100. 100. Akihiko Nikkuni, Yutaka Komura*, Self-evaluation in vision in monkeys and humans, 2017 , invited BibTeX
  101. 101. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control attribution of incentive salience in an autoshaping task., 2017 BibTeX
  102. 102. Doya K, Reinforcement learning: basic concepts and recent advances, 2017 , Beijing Institute of Technology, China, 2017.8.16-18, invited BibTeX
  103. 103. Doya K, Neural mechanisms of reinforcement learning and mental simulation, 2017 , Beijing Institute of Technology, China, 2017.8.16-18, invited BibTeX
  104. 104. 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, 2017 , invited BibTeX
  105. 105. *Shirasuna, M., Honda, H., Matsuka, T., & Ueda, K., Familiarity-matching in decision making: Experimental studies on cognitive processes and analyses of its ecological rationality, 2017 7, reviewed# BibTeX
  106. 106. *Honda, H., Matsuka, T., & Ueda, K., Decisions based on verbal probabilities: Decision bias or decision by sampling?, 2017 7, reviewed# BibTeX
  107. 107. Koki Mimura, Chika Sato, Jumpei Matsumoto, Ichio Aoki, Noritaka Ichinohe, Suhara Testuya, Takafumi Minamimoto, Atypical Behavioral and Neural Phenotypes in a Common Marmoset Model of Autism Spectrum Disorder, 2017 July, invited BibTeX
  108. 108. Doya K, Decoding the contents of mental simulation, 2017 , University of Tokyo, Tokyo, 2017.7.24, invited BibTeX
  109. 109. Asabuki T, Hiratani N, Fukai T, Chunking by mutual supervision in reservoir computing., 2017 , invited BibTeX
  110. 110. Doya K, Exploring the deep brain network for reinforcement learning, 2017 , Makuhari Messe, Chiba, 2017.7.21, invited BibTeX
  111. 111. 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, 2017 BibTeX
  112. 112. 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, 2017 BibTeX
  113. 113. 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, 2017 7 BibTeX
  114. 114. Keiji Tanaka, Object recognition in inferotemporal cortex: from visual features to semantics, 基調講演, invited BibTeX
  115. 115. Eiji Uchibe* and Kenji Doya, Model-free deep inverse reinforcement learning by logistic regression, 2017 , reviewed# BibTeX
  116. 116. Doya K, What should we further learn from the brain?, 2017 , NYU Shanghai, Shanghai, China, 2017.7.7, invited BibTeX
  117. 117. Nakahara H., Learning to make reward-guided decisions: sequential, successive, and social, 2017 , invited talk BibTeX
  118. 118. Doya K, What should we further learn from the brain?, 2017 , Kyungpook National University, Daegu, Korea, 2017.7.3, invited BibTeX
  119. 119. Keiji Tanaka, Object recognition in inferotemporal cortex: from visual features to semantics, 基調講演, invited BibTeX
  120. 120. 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., 2017 6, 蘇州市, 中華人民共和国 BibTeX
  121. 121. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control incentive salience to reward-predictive cues., 2017 , invited BibTeX
  122. 122. *Hikida T, Morita M, Macpherson T, D2L receptor-expressing striatal neurons control visual discrimination learning in a touchscreen operant system., 2017 BibTeX
  123. 123. Ishida H, Inoue K, Hoshi E, Takada M, Cells of origin of multisynaptic projections from amygdala to ventral premotor cortex in macaques , 2017 6, Sicily, Italy BibTeX
  124. 124. Masamichi Sakagami, Categorical coding of stimulus and inference of the value in the monkey lateral prefrontal cortex, 2017 6, invited BibTeX
  125. 125. *Reinke C, Uchibe E, Doya K, Fast Adaptation of Behavior to Changing Goals with a Gamma Ensemble, 2017 , University of Michigan, Ann Arbor, Michigan, USA, 2017.6.12 BibTeX
  126. 126. 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, 2017 BibTeX
  127. 127. *Koji ISHIHARA,Jun-ichiro FURUKAWA,Jun MORIMOTO, A forward and inverse optimal control framework to generate humanoid robot movements with hierarchical MPC, 2017 6, reviewed# BibTeX
  128. 128. *Tadahiro Taniguchi, Semantic Segmentation of Driving Behavior Data: Double Articulation Analyzer and its Application, 2017 , invited BibTeX
  129. 129. *Masashi HAMAYA, Takamitsu MATSUBARA, Tomoyuki NODA,Tatsuya TERAMAE,Jun MORIMOTO, Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning, 2017 5,6, reviewed# BibTeX
  130. 130. Koki Mimura, Keiko Nakagaki, Noritaka Ichinohe, Distrbed Vocal Communication in Common Marmoset Family with an Autism-Model Child, 2017 May, invited BibTeX
  131. 131. Nakahara H., Neural computations underlying social decision-making, 2017 , invited talk BibTeX
  132. 132. Nakahara H., Learning to make reward-guided decisions: sequential, successive, and social, 2017 , invited talk BibTeX
  133. 133. Hidehiko Takahashi, Interface between AI and psychiatric research. , 2017 , invited BibTeX
  134. 134. Masamichi Sakagami, Categorical Coding of Stimulus and Inference of the Value in the Monkey Lateral Prefrontal Cortex, 2017 5 BibTeX
  135. 135. Shubham Gupta, R Allen Waggoner, Keiji Tanaka, and Kang Cheng, Variation of RF-induced temperature increase in a phantom: comparison of numerical simulatitons, MR thermometry and measurements from temperature sensors, ポスター発表 BibTeX
  136. 136. R Allen Waggoner, Ken Ueno, J Pfeuffer, Keiji Tanaka, Kang Cheng, High-resolution fMRI of the visual system at 3T using zoomed excitation via Tx-SENSE, ポスター発表 BibTeX
  137. 137. Haga T, Fukai T, Dendritic computing gives a meso-scopic level framework of brain’s leaning rule. , 2017 , invited BibTeX
  138. 138. J. Chikazoe, Integrated Taste Type Representations in Human Insula, 2017 , oral BibTeX
  139. 139. 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 , poster BibTeX
  140. 140. Masamichi Sakagami, The reward prediction error signal of midbrain dopamine neuron is modulated by the cost paid for the reward, 2017 4, invited BibTeX
  141. 141. Doya K, Coding of action and state values in the striatal compartments, 2017 , Merida, Mexico, 2017.3.29, invited BibTeX
  142. 142. Keiji Tanaka, Changes in deoxygenation level of bloods and cortical tissues following neuronal activity changes as the bases for intrinsic optical recordings and fMRI, シンポジウム, invited BibTeX
  143. 143. Abekawa Naotoshi, Gomi Hiroaki, Modulation difference in visuomotor responses in implicit and explicit motor tasks depending on postural stability, 2017 BibTeX
  144. 144. Ito Sho, Gomi Hiroaki, Rotated visual feedback of self-movement affects long-latency stretch reflex, 2017 BibTeX
  145. 145. Takamuku Shinya, Abekawa Naotoshi,Gomi Hiroaki, Automatic adjustment of walking speed by optic flow benefits from binocular vision, 2017 BibTeX
  146. 146. Ueda Hiroshi, Abekawa Naotoshi,Gomi Hiroaki, Temporal development of an interaction effect between internal motion and contour signals of drifting target on reaching adjustment, 2017 BibTeX
  147. 147. *Tadahiro Taniguchi, Symbol Emergence in Robotics: Representation Learning for Real-world Communication and Collaboration, 2017 , invited BibTeX
  148. 148. Ikegami, T, THE FUTURE OF AI IN THE ARTS , 2017 , invited BibTeX
  149. 149. Ikegami, T, 2017 , invited BibTeX
  150. 150. Ikegami, T, 2017 , invited BibTeX
  151. 151. S. Shinomoto, Emergence of cascades in the linear and nonlinear Hawkes processes, 2017 , invited BibTeX
  152. 152. S. Shinomoto, Inferring the source of fluctuation in neuronal activity, 2017 June, invited BibTeX
  153. 153. Wataru Shimoda and Keiji Yanai, Predicting Segmentation Easiness from the Consistency for Weakly-Supervised Segmentation, 2017 11, reviewed BibTeX
  154. 154. Takumi Ege and Keiji Yanai, Estimating Food Calories for Multiple-dish Food Photos, 2017 11, reviewed# BibTeX
  155. 155. Takumi Ege and Keiji Yanai, Image-Based Food Calorie Estimation Using Knowledge on Food Categories, Ingredients and Cooking Directions, 2017 10, reviewed# BibTeX
  156. 156. Takumi Ege and Keiji Yanai, Comparison of Two Approaches for Direct Food Calorie Estimation, 2017 9, reviewed# BibTeX
  157. 157. Shin Matsuo, Wataru Shimoda and Keiji Yanai, Partial Style Transfer Using Weakly-Supervised Semantic Segmentation, 2017 7, reviewed BibTeX
  158. 158. Keiji Yanai and Ryosuke Tanno, Conditional Fast Style Transfer Network, 2017 6, reviewed BibTeX
  159. 159. Takumi Ege and Keiji Yanai, Simultaneous Estimation of Food Categories and Calories with Multi-task CNN, 2017 5, reviewed BibTeX
  160. 160. Keiji Yanai, Unseen Style Transfer Based on a Conditional Fast Style Transfer Network, 2017 4, reviewed BibTeX
  161. 161. Shin Matsuo, Wataru Shimoda and Keiji Yanai, Twitter Photo Geo-Localization Using Both Textual and Visual Features, 2017 4, reviewed BibTeX
  162. 162. Wataru Shimoda and Keiji Yanai, Learning Food Image Similarity for Food Image Retrieval, 2017 4, reviewed BibTeX
  163. 163. *Koji Ishihara,Jun Morimoto, A hierarchical model predictive control approach to generate biped robot movements in real-time, 2016 12, reviewed# BibTeX
  164. 164. Nakahara H., Neural computations for making decisions with others’ choice and reward, 2016 , invited talk BibTeX
  165. 165. *Hikida T, Yao S, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A, Expression changes in prefrontal cortex after neurotransmission blocking of the nucleus accumbens pathways., 2016 BibTeX
  166. 166. Masamichi Sakagami, Decoding the value of juice from electrocorticographic signals in monkey prefrontal cortices and its modulation through the decoded neurofeedback, 2016 12 BibTeX
  167. 167. Masamichi Sakagami, Signal interaction between primate prefrontal cortex and striatum in an asymmetric reward task, 2016 12 BibTeX
  168. 168. Mineki Oguchi and Masamichi Sakagami,, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Chemogenetic Double Virus Vector Infection　, 2016 12, invited BibTeX
  169. 169. *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens is necessary for behavioral flexibility in an IntelliCage place discrimination task., 2016 BibTeX
  170. 170. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for deciding with predicting others, 2016 BibTeX
  171. 171. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H, Neural mechanisms and computation that mediates value by others’ reward for decision making, 2016 BibTeX
  172. 172. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Shigeki Kato, Kazuto Kobayashi, and Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection , 2016 11 BibTeX
  173. 173. *Hikida T, Yao S, Fukakusa A, Morita M, Kimura H, Hirai K, Ando T, Toyoshiba H, Sawa A, Expression changes in prefrontal cortex after neurotransmission blocking of the nucleus accumbens pathways., 2016 BibTeX
  174. 174. Morita M, Macpherson T, Sawa A, *Hikida T, Learning deficits involving nucleus accumbens D2-receptor expressing neurons in a DISC1 mouse model., 2016 BibTeX
  175. 175. Itakura M, Kubo T, Kaneshige A, Azuma Y, Hikida T, Takeuchi T, *Nakajima H., A novel therapeutic target for stroke by inhibition of GAPDH aggregation., 2016 BibTeX
  176. 176. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens is necessary for behavioral flexibility in an IntelliCage place discrimination task., 2016 , invited BibTeX
  177. 177. *Akira Taniguchi, Tadahiro Taniguchi, Angelo Cangelosi, Multiple Categorization by iCub: Learning Relationships between Multiple Modalities and Words, 2016 , reviewed BibTeX
  178. 178. *Tadahiro Taniguchi, Nonparametric Bayesian Word Discovery for Symbol Emergence in Robotics the Workshop on Machine Learning Methods for High-Level Cognitive Capabilities, 2016 , invited BibTeX
  179. 179. *HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Yuusuke Tanaka, and Takashi Bando, Reducing the Negative Effect of Defective Data on Driving Behavior Segmentation Via a Deep Sparse Autoencoder, 2016 , reviewed BibTeX
  180. 180. *Ales Ude,Rok VugaA,Bojan Nemec,Jun Morimoto, Trajectory representation by nonlinear scaling of dynamic movement primitives, 2016 10, reviewed# BibTeX
  181. 181. *Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approac, 2016 10, reviewed# BibTeX
  182. 182. Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection, 2016 10, invited BibTeX
  183. 183. Keiji Tanaka, Brain Mechanisms of intuitive problem solving in experts, シンポジウム BibTeX
  184. 184. *Tadahiro Taniguchi, Symbol Emergence in Robotics for Long-Term Human-Robot Collaboration, 2016 , reviewed BibTeX
  185. 185. M. Sakagami, Signal Interaction between Primate Prefrontal Cortex and Striatum in Asymmetric Reward Task , 2016 ８, invited BibTeX
  186. 186. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for decision-making with predicting others: human fMRI, 2016 BibTeX
  187. 187. Fukuda H, Ma N, Suzuki S, Harasawa N, Ueno K, Gardner JL, Ichinohe N, Haruno M, Cheng K, Nakahara H, Neural computation underlying value-based decisions including rewards to others, 2016 BibTeX
  188. 188. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Nucleus accumbens dopamine D2-receptor expressing neurons control behavioural flexibility in a place learning task in the IntelliCage., 2016 BibTeX
  189. 189. Tanaka S, Oguchi M, Sakagami M, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Virus Vector Infection, 2016 7 BibTeX
  190. 190. Mineki Oguchi, Shingo Tanaka, Xiaochuan Pan, Takefumi Kikusui, Shigeki Kato, Kazuto Kobayashi, and Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection, 2016 7 BibTeX
  191. 191. R Allen Waggoner, Topi Tanskanen, Keiji Tanaka, and Kang Cheng, Enhancement of event-related fMRI studies of the human visual system using multi-band EPI, ポスター発表 BibTeX
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