PUBLICATIONS
Category
Year
シェア

International Conference

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