PUBLICATIONS
Category
Year

International Conference

  1. Takanori Uka, Neural mechanism of flexible sensory decision making, invitedBibTeX
  2. *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, 2018.3.15BibTeX
  3. Doya K, Imaging the neural circuit for mental simulation, 2018 , Denver City, USA, 2018.3.5BibTeX
  4. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , Cold Spring Harbor Laboratory, USA, 2018.3.19BibTeX
  5. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , New York University, USA, 2018.3.18BibTeX
  6. Doya K, How does the brain wire up itself on the fly?, 2018 , Institute for Advanced Study, Princeton, USA, 2018.3.14, invitedBibTeX
  7. Doya K, Neural Circuit for Mental Simulation, 2018 , Princeton Neuroscience Institute, USABibTeX
  8. Doya K, Neural circuits for reinforcement learning and mental simulation, 2018 , Gold Hall and Ruby Hall, WellyHilly park, South Korea, 2018.1.30, invitedBibTeX
  9. Doya K, What should we further learn from the brain?, 2018 , WellyHilly park, South Korea, 2018.1.29BibTeX
  10. Doya K, Neural circuits for reinforcement learning and mental simulation, 2017 , Queensland Brain Institute, The University of Queensland, Brisbane, Australia, 2017.12.14, invitedBibTeX
  11. *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, 2017.11.14BibTeX
  12. *Reinke C, Doya K, Adaptation of Optimization Algorithms to Problem Domains by Transfer Learning, 2017 , OIST, 2017.11.24BibTeX
  13. Doya K, What can we further learn from the brain?, 2017 , Guangzhou, China, 2017.11.16, invitedBibTeX
  14. *Parmas P, Peters J, Doya K, The optimal-baseline estimator is not the optimal baseline-estimator, 2017 , Tokyo, Japan, 2017.11.10BibTeX
  15. *Reinke C, Uchibe E, Doya K, Average Reward Optimization with Multiple Discounting Reinforcement Learners, 2017 , Guangzhou, China, 2017.10.24BibTeX
  16. Doya K, Artificial Intelligence and Brain Science, 2017 , Kyungpook National University, Daegu, Korea, 2017.10.19BibTeX
  17. *Yoshizawa T, Ito M, Doya K, Coding of value information in the striatal striosome compartment, 2017 , CHÂTERAISÉ Gateaux Kingdom SAPPORO, Japan, 2017.10.4BibTeX
  18. Doya K, Reinforcement learning: basic concepts and recent advances, 2017 , Beijing Institute of Technology, China, 2017.8.16-18, invitedBibTeX
  19. Doya K, Neural mechanisms of reinforcement learning and mental simulation, 2017 , Beijing Institute of Technology, China, 2017.8.16-18, invitedBibTeX
  20. Doya K, Decoding the contents of mental simulation, 2017 , University of Tokyo, Tokyo, 2017.7.24, invitedBibTeX
  21. Doya K, Exploring the deep brain network for reinforcement learning, 2017 , Makuhari Messe, Chiba, 2017.7.21, invitedBibTeX
  22. Doya K, What should we further learn from the brain?, 2017 , NYU Shanghai, Shanghai, China, 2017.7.7, invitedBibTeX
  23. Doya K, What should we further learn from the brain?, 2017 , Kyungpook National University, Daegu, Korea, 2017.7.3, invitedBibTeX
  24. *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, 2017.6.12BibTeX
  25. Doya K, Coding of action and state values in the striatal compartments, 2017 , Merida, Mexico, 2017.3.29, invitedBibTeX
  26. 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
  27. Keiji Tanaka, Brain Mechanisms of intuitive problem solving in experts, シンポジウムBibTeX
  28. 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, invitedBibTeX
  29. 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
  30. 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
  31. Keiji Tanaka, Object recognition in inferotemporal cortex: from visual features to semantics, 基調講演, invitedBibTeX
  32. Keiji Tanaka, Object recognition in inferotemporal cortex: from visual features to semantics, 基調講演, invitedBibTeX
  33. Sidney Lehky, A Phan, A Cichocki, and Keiji Tanaka, Coding of faces by tensor components, ポスター発表BibTeX
  34. *Ales Ude,Rok VugaA,Bojan Nemec,Jun Morimoto, Trajectory representation by nonlinear scaling of dynamic movement primitives, 2016 10, reviewed#BibTeX
  35. *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
  36. *Koji Ishihara,Jun Morimoto, A hierarchical model predictive control approach to generate biped robot movements in real-time, 2016 12, reviewed#BibTeX
  37. *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
  38. *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
  39. *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
  40. *Jun-ichiro FURUKAWA, Asuka TAKAI,Jun MORIMOTO, Database-driven approach for biosignal-based robot control with collaborative filtering, 2017 11, reviewed#BibTeX
  41. *Rok Pahic, Andrej Gams, Ales Ude, Jun Morimoto, Deep Encoder-Decoder Networks for Mapping Raw Images to Movement Primitives, 2018 5, reviewed#BibTeX
  42. Abekawa Naotoshi, Gomi Hiroaki, Modulation difference in visuomotor responses in implicit and explicit motor tasks depending on postural stability, 2017BibTeX
  43. Ito Sho, Gomi Hiroaki, Rotated visual feedback of self-movement affects long-latency stretch reflex, 2017BibTeX
  44. Takamuku Shinya, Abekawa Naotoshi,Gomi Hiroaki, Automatic adjustment of walking speed by optic flow benefits from binocular vision, 2017BibTeX
  45. Ueda Hiroshi, Abekawa Naotoshi,Gomi Hiroaki, Temporal development of an interaction effect between internal motion and contour signals of drifting target on reaching adjustment, 2017BibTeX
  46. 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 NeuroscienceBibTeX
  47. 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., 2016BibTeX
  48. *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., 2016BibTeX
  49. Morita M, Macpherson T, Sawa A, *Hikida T, Learning deficits involving nucleus accumbens D2-receptor expressing neurons in a DISC1 mouse model., 2016BibTeX
  50. 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., 2016BibTeX
  51. 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 , invitedBibTeX
  52. *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens is necessary for behavioral flexibility in an IntelliCage place discrimination task., 2016BibTeX
  53. *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., 2016BibTeX
  54. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control incentive salience to reward-predictive cues., 2017 , invitedBibTeX
  55. *Hikida T, Morita M, Macpherson T, D2L receptor-expressing striatal neurons control visual discrimination learning in a touchscreen operant system., 2017BibTeX
  56. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control attribution of incentive salience in an autoshaping task., 2017BibTeX
  57. Macpherson T, *Hikida T, Nucleus accumbens dopamine D1-receptor-expresing neurons control Pavlovian approach behaviour., 2017BibTeX
  58. Macpherson T, *Hikida T, Nucleus Accumbens D1 receptor expressing neurons control autoshaping behavior, 2017BibTeX
  59. *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, 2017BibTeX
  60. *Hikida T, Basal ganglia network mechanisms in cognitive learning, 2017 , invitedBibTeX
  61. Macpherson T, *Hikida T, Nucleus accumbens D1 receptor expressing neurons control sutoshaping behavior., 2017BibTeX
  62. Macpherson T, *Hikida T, Dopamine D2L receptors control flexible behavior., 2017BibTeX
  63. *Hikida T, Neuronal circuit mechanisms in reward and aversive behavior., 2017 , invitedBibTeX
  64. *Tadahiro Taniguchi, Symbol Emergence in Robotics for Long-Term Human-Robot Collaboration, 2016 , reviewedBibTeX
  65. *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 , reviewedBibTeX
  66. *Akira Taniguchi, Tadahiro Taniguchi, Angelo Cangelosi, Multiple Categorization by iCub: Learning Relationships between Multiple Modalities and Words, 2016 , reviewedBibTeX
  67. *Tadahiro Taniguchi, Nonparametric Bayesian Word Discovery for Symbol Emergence in Robotics the Workshop on Machine Learning Methods for High-Level Cognitive Capabilities, 2016 , invitedBibTeX
  68. *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
  69. *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
  70. *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 , reviewed#BibTeX
  71. *Honda, H., Matsuka, T., & Ueda, K., Decisions based on verbal probabilities: Decision bias or decision by sampling?, 2017 , reviewed#BibTeX
  72. *Sayuri Hashimoto and Ichiro Kobayashi, A Basic Study on Action Control Using Deep Reinforcement Learning, 2017 , reviewedBibTeX
  73. *Tadahiro Taniguchi, Symbol Emergence in Robotics: from sensorimotor information to language, 2017 , invitedBibTeX
  74. *Tadahiro Taniguchi, Symbol Emergence in Robotics: Representation Learning for Real-world Communication and Collaboration, 2017 , invitedBibTeX
  75. *Tadahiro Taniguchi, Semantic Segmentation of Driving Behavior Data: Double Articulation Analyzer and its Application, 2017 , invitedBibTeX
  76. Nakahara H., Neural computations for making decisions with others’ choice and reward, 2016 , invited talkBibTeX
  77. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for deciding with predicting others, 2016BibTeX
  78. 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, 2016BibTeX
  79. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for decision-making with predicting others: human fMRI, 2016BibTeX
  80. 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, 2016BibTeX
  81. 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, 2017BibTeX
  82. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, Nakahara H., Neural mechanisms for deciding with predicting others in human brain, 2017BibTeX
  83. Nakahara H., Reinforcement learning with environmental structures and mind of others, 2017 , invited talkBibTeX
  84. 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, 2017BibTeX
  85. 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, 2017BibTeX
  86. Nakahara H., Learning to make reward-guided decisions: sequential, successive, and social, 2017 , invited talkBibTeX
  87. 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, 2017BibTeX
  88. Nakahara H., Neural computations underlying social decision-making, 2017 , invited talkBibTeX
  89. Nakahara H., Learning to make reward-guided decisions: sequential, successive, and social, 2017 , invited talkBibTeX
  90. 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 11BibTeX
  91. Masamichi Sakagami, Categorical coding of stimulus and inference of the value in the monkey lateral prefrontal cortex, 2017 6, invitedBibTeX
  92. 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 7BibTeX
  93. Masamichi Sakagami, Dissociable functions of reward inference in the lateral prefrontal cortex and the striatum, 2017 10, invitedBibTeX
  94. 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 11BibTeX
  95. 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 11BibTeX
  96. Masamichi Sakagami, Decoding the value related signal represented in multiple areas of the prefrontal cortex using ECoG electrodes, 2018 1, invitedBibTeX
  97. Masamichi Sakagami, Multiple Neural Circuits In Value-based Decision Making, 2018 1, invitedBibTeX
  98. Takagishi, H., Sakagami, M., & Yamagishi, T, Social Value Orientation is Associated with the Role of Right Dorsolateral Prefrontal Cortex in Prosocial Behavior, 2018 3BibTeX
  99. Hidehiko Takahashi, Interface between AI and psychiatric research. , 2017 , invitedBibTeX
  100. Hidehiko Takahashi, Altered decision-making as endophenotypes to bridge the gap between phenomenology and neurobiology, 2017 , invitedBibTeX
  101. *Doi, I., Ikegami, T., Masumori, A., Kojima, H., Ogawa K., & Ishiguro, H, A new design principle for an autonomous robot, 2017 , reviewedBibTeX
  102. *Sinapayen, L., & Ikegami, T, Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network, 2017 , reviewedBibTeX
  103. *Hiroki Kojima,Takashi Ikegami, VAEGAN as a New Perception Model, 2017 , reviewedBibTeX
  104. *Masumori, A., Sinapayen, L., & Ikegami, T, Learning by Stimulation Avoidance Scale to Large Neural Networks, 14th European Conference on Artificial Life, 2017 , reviewedBibTeX
  105. *Masumori, A., Maruyama, N., Mita, T., Bakkum, D., Frey, U., Takahashi, H.,& Ikegami, T, Learning by Stimulation Avoidance in Cultured Neuronal Cells, 2017 , reviewedBibTeX
  106. *Maruyama, N., Hashimoto, Y., Mototake, Y., Saito, D., & Ikegami, T, Revisiting Classification of Large Scale Flocking, 2017 , reviewedBibTeX
  107. *Hashimoto, Y., Ikegami, T, Novelty production in tagging crowds, 2017 , reviewedBibTeX
  108. Ikegami, T, THE FUTURE OF AI IN THE ARTS , 2017 , invitedBibTeX
  109. Ikegami, T, 2017 , invitedBibTeX
  110. Ikegami, T, 2017 , invitedBibTeX
  111. *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
  112. *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
  113. *H. Moriya, T. Ogawa, M. Kawanabe, J. Hirayama, Predictability of amygdala BOLD signal from multiple-electrode EEGs, 2017 , reviewed#BibTeX
  114. Ryosuke Tanno and Keiji Yanai, AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality, 2018 2, reviewedBibTeX
  115. Wataru Shimoda and Keiji Yanai, Predicting Segmentation Easiness from the Consistency for Weakly-Supervised Segmentation, 2017 11, reviewedBibTeX
  116. Takumi Ege and Keiji Yanai, Estimating Food Calories for Multiple-dish Food Photos, 2017 11, reviewed#BibTeX
  117. Takumi Ege and Keiji Yanai, Image-Based Food Calorie Estimation Using Knowledge on Food Categories, Ingredients and Cooking Directions, 2017 10, reviewed#BibTeX
  118. Takumi Ege and Keiji Yanai, Comparison of Two Approaches for Direct Food Calorie Estimation, 2017 9, reviewed#BibTeX
  119. Shin Matsuo, Wataru Shimoda and Keiji Yanai, Partial Style Transfer Using Weakly-Supervised Semantic Segmentation, 2017 7, reviewedBibTeX
  120. Keiji Yanai and Ryosuke Tanno, Conditional Fast Style Transfer Network, 2017 6, reviewedBibTeX
  121. Takumi Ege and Keiji Yanai, Simultaneous Estimation of Food Categories and Calories with Multi-task CNN, 2017 5, reviewedBibTeX
  122. Keiji Yanai, Unseen Style Transfer Based on a Conditional Fast Style Transfer Network, 2017 4, reviewedBibTeX
  123. Shin Matsuo, Wataru Shimoda and Keiji Yanai, Twitter Photo Geo-Localization Using Both Textual and Visual Features, 2017 4, reviewedBibTeX
  124. Wataru Shimoda and Keiji Yanai, Learning Food Image Similarity for Food Image Retrieval, 2017 4, reviewedBibTeX
  125. Eiji Uchibe* and Kenji Doya, Model-free deep inverse reinforcement learning by logistic regression, 2017 , reviewed#BibTeX
  126. Eiji Uchibe*, Efficient Sample Reuse in Policy Search by Multiple Importance Sampling, 2018 , reviewed#BibTeX
  127. Stefan Elfwing*, Eiji Uchibe, and Kenji Doya, Online Meta-Learning by Parallel Algorithm Competition, 2018 , reviewed#BibTeX
  128. BibTeX
  129. 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, ItalyBibTeX
  130. 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
  131. Inoue K, Pathway-selective optogenetics for elucidating neural network function in primates., 2017 11, invited, Washington, DC, USABibTeX
  132. 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, USABibTeX
  133. 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, USABibTeX
  134. 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, 520-529BibTeX
  135. 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, invitedBibTeX
  136. 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 NovemberBibTeX
  137. Koki Mimura, Keiko Nakagaki, Noritaka Ichinohe, Distrbed Vocal Communication in Common Marmoset Family with an Autism-Model Child, 2017 May, invitedBibTeX
  138. Mao Noguchi, So Fujimoto, Akihiko Nikkuni, Yutaka Komura*, Core of neural network for conscious states and percepts in primate, 2017 , invitedBibTeX
  139. Akihiko Nikkuni, Yutaka Komura*, Self-evaluation in vision in monkeys and humans, 2017 , invitedBibTeX
  140. So Fujimoto, Yutaka Komura*, Neurobiology and statistics of reflective minds in primates, 2018BibTeX
  141. Shinsuke Suzuki, Food value computation in the human orbitofrontal cortex, 2018 , invitedBibTeX
  142. Shinsuke Suzuki, Value computation in the human brain: its basis and contagious nature, 2018 , invitedBibTeX
  143. Hiroaki Shioya, Yusuke Iwasawa, Yutaka Matsuo, Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity, 2018 4BibTeX
  144. Joji Toyama, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo, Expert-based reward function training: the novel method to train sequence generators,, 2018 4BibTeX
  145. Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo, Neuron as an Agent, 2018 4BibTeX
  146. Masamichi Sakagami, Categorical Coding of Stimulus and Inference of the Value in the Monkey Lateral Prefrontal Cortex, 2017 5BibTeX
  147. Masamichi Sakagami, The reward prediction error signal of midbrain dopamine neuron is modulated by the cost paid for the reward, 2017 4, invitedBibTeX
  148. Masamichi Sakagami, Decoding the value of juice from electrocorticographic signals in monkey prefrontal cortices and its modulation through the decoded neurofeedback, 2016 12BibTeX
  149. Masamichi Sakagami, Signal interaction between primate prefrontal cortex and striatum in an asymmetric reward task, 2016 12BibTeX
  150. 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, invitedBibTeX
  151. Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection, 2016 10, invitedBibTeX
  152. M. Sakagami, Signal Interaction between Primate Prefrontal Cortex and Striatum in Asymmetric Reward Task , 2016 8, invitedBibTeX
  153. Tanaka S, Oguchi M, Sakagami M, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Virus Vector Infection, 2016 7BibTeX
  154. 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 7BibTeX
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