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International Conference

  1. 1. Yohei Oseki, Towards computational cognitive neuroscience of language, What is the role of next generation of cognitive robotics?, 2020, Zoom, Online, invited BibTeX
  2. 2. *Sugiyama M, Tsuda K, Nakahara H, Sample Space Truncation on Boltzmann Machines, NeurIPS 2020 Workshop: Deep Learning through Information Geometry, 2020, online, reviewed, poster BibTeX
  3. 3. Vieillard, Nino, Kozuno, Tadashi, Scherrer, Bruno, Pietquin, Olivier, Munos, Remi and Geist, Matthieu, Leverage the average: an analysis of KL regularization in reinforcement learning, Neural Information Processing Systems Online Conference 2020 (NeurIPS 2020), 2020, online, oral BibTeX
  4. 4. Shimizu, Yu, Yoshimoto, Junichiro, Takamura, Masahiro, Okada, Go, Matsumoto, Tomoya, Fuchikami, Manabu, Okada, Satoshi, Morinobu, Shigeru, Okamoto, Yasumasa, Yamawaki, Shigeto and Doya, Kenji, Maximum credibility voting (MCV): An integrative approach for accurate diagnosis of major depressive disorder from clinically readily available data, APSIPA 2020 online, 2020, online, oral BibTeX
  5. 5. *Hikida T, Kim J, Macpherson T, Nucleus accumbens D2-receptor-expressing neurons regulate reversal learning in the Attentional Set Shifting Test, 59th Annual Meeting of the American College of Neuropsychopharmacolog, 2020, poster BibTeX
  6. 6. Sugiura, Iori, Irei, Tsukasa, Doya, Kenji, Kurata, Koji and Miyata, Ryota, Effects of the neural activity in basal ganglia on the choice behavior in rats, The 30th Annual Conference of Japanese Neural Network Society (JNNS2020), 2020, online, oral BibTeX
  7. 7. Doya, Kenji, AI and brain science, 2020 IEEE CIS Summer School on Emerging Research Trends in Computational Intelligence: Theory and Applications, 2020, online, invited BibTeX
  8. 8. Tomoki Fukai, Rate and temporal coding perspectives of motor processing in cortical microcircuits, Online Workshop Series Neural Control: From data to machines, 2020, online, oral, invited BibTeX
  9. 9. Tomoki Fukai, Rate and temporal coding perspectives of motor processing in cortical microcircuits, Online Workshop Series Neural Control: From data to machines, 2020, online, oral, invited BibTeX
  10. 10. Li, Yuzhe and Doya, Kenji, Extracting information flow across cortical layers from multi-depth two-photon imaging data, 第63回自動制御連合講演会, 2020, online, invited BibTeX
  11. 11. Hamano Y, *Shouno H, Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics., The 27th International Conference on Neural Information Processing (ICONIP2020), 2020, 1, Bangkok, Thai, reviewed, oral BibTeX
  12. 12. Doya, Kenji, Communication and Self-organization of Intelligent Agents, NOLTA 2020, 2020, online, invited BibTeX
  13. 13. Yohei Oseki, Building machines that process and learn natural language like people, Logic and Engineering of Natural Language Semantics (LENLS), 2020, Zoom, Online, invited BibTeX
  14. 14. Yuki Katsumata, Akira Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, and Tadahiro Taniguchi, SpCoMapGAN: Spatial Concept Formation-based Semantic Mapping with Generative Adversarial Networks, IEEE International Conference on Intelligent Robots and Systems (IROS), 2020, Las Vegas, USA (virtual), reviewed BibTeX
  15. 15. Uchibe E, Latent brain dynamics estimation and deep generative imitation learning, 31st U.S.-Japan Technology Forum, 2020, online, oral, invited BibTeX
  16. 16. Doya, Kenji, Toward the society of AI agents: what should we learn from the brain and human society, International Symposium on Artificial Intelligence and Brain Science, 2020, online, invited BibTeX
  17. 17. Hidehiko Takahashi, Interface between AI and schizophrenia research, International Symposium on Artificial Intelligence and Brain Science, 2020, Tokyo, Japan, invited BibTeX
  18. 18. Tadahiro Taniguchi, Symbol Emergence in Robotics: Pursuing Integrative Cognitive Architecture using Probabilistic Generative Models for Real-world Language Acquisition, International Symposium on Artificial Intelligence and Brain Science, 2020, Online, Japan, invited BibTeX
  19. 19. *Nakahara H, Neural Computations for Making Decisions with Others’ Rewards and Decisions, International Symposium on Artificial Intelligence and Brain Science, 2020, online, oral, invited BibTeX
  20. 20. 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, International Symposium on Artificial Intelligence and Brain Science, 2020, poster BibTeX
  21. 21. Uchibe E, Parallel deep reinforcement learning with model-free and model-based methods, International Symposium on Artificial Intelligence and Brain Science, 2020, online, poster BibTeX
  22. 22. *Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, and Yutaka Matsuo, Group Equivariant Conditional Neural Processes, International Conference on Learning Representations 2021, 2020, Virtual, reviewed BibTeX
  23. 23. Li, Yuzhe and Doya, Kenji, Neuron hubs distributed differently in deep layers and superficial layers in different brain states, The 1st Asia-Pacific Computational and Cognitive Neuroscience Conference. (2020 AP-CCN), 2020, online, Poster BibTeX
  24. 24. Doya, Kenji, What can we further learn from the brain for artificial intelligence?, Neurotheory Forum, 2020, online, invited BibTeX
  25. 25. Doya, Kenji, How to let robots learn, develop, communicate and evolve, Latin American Summer School on Cognitive Robotics (LACORO), 2020, online, invited BibTeX
  26. 26. Inoue K, Pathway-selective activity manipulation in the primate brain by means of modified viral vectors, 7th ESI Systems Neuroscience Conference 2020 (ESI SyNC 2020), 2020, Online, invited BibTeX
  27. 27. *Gupta S, Tanaka K, Waggoner RA, Brain Mechanisms of intuitive problem solving in experts, Validation of RF induced temperature increase in phantom and in living human tissue: a comparison study, 2020, reviewed oral BibTeX
  28. 28. *Waggoner RA, Feiweier T, Tanaka K, Enhancement of event-related fMRI studies of the human visual system using multi-band EPI, The use of stimulated-echo EPI to obtain high b-value DTI data at short TEs on a clinical scanner, 2020, reviewed posterl BibTeX
  29. 29. Komatsu M, Hierarchical predictions in the marmoset cerebral cortex, the 43th Annual Meeting of the Japan Neuroscience Society, 2020, Online, symposium BibTeX
  30. 30. *大村優，岩見謙太郎，笹森瞳，杉浦千瑛，Youcef Bouchekioua, 西谷直也，吉岡充弘, 背側縫線核セロトニン神経活動の抑制はモデルベース的意思決定を抑制する, 第43回日本神経科学大会, 2020, Online, psoter BibTeX
  31. 31. Doya, Kenji, What can we further learn from the brain for artificial intelligence, Neuroscience2020, 2020, online, invited BibTeX
  32. 32. Hikishima-Kasahara, Kazumi and Doya, Kenji, Changes in the basal ganglia-thalamic functional connectivity induced by longitudinal motor training in mice, Neuroscience 2020, 2020, online, oral BibTeX
  33. 33. Mineki Oguchi, Jiang Jiasen, Toshihide W Yoshioka, Yasuhiro Tanaka, Kenichi Inoue, Masahiko Takada, Takefumi Kikusui, Kensaku Nomoto, Masamichi Sakagami, Endomicroscopic Calcium Imaging from the Macaque Primary Visual Cortex, 第43回日本神経科学大会, 2020, web, poster BibTeX
  34. 34. Li, Yuzhe and Doya, Kenji, Investigation of temporal and spatial origination of neural network in sensory cortex., The 30th Annual Conference of Japanese Neural Network Society (JNNS2020), 2020, online, Poster BibTeX
  35. 35. *Miyawaki H, Mizuseki K, Dynamics of inter-regional cellular interactions during slow-wave sleep., The Annual Meeting of the Japan Neuroscience Society, 2020, On line, oral BibTeX
  36. 36. Ichigozaki S, Kawashima T, *Shouno H, Bayesian Sparse Covariance Structure Analysis for Correlated Count Data, The 26th Int’l Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA20), 2020, Las Vegas, USA, reviewed, oral BibTeX
  37. 37. Kobayashi G, *Shouno H, Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields, The 26th Int’l Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA20), 2020, Las Vegas, USA, reviewed, oral BibTeX
  38. 38. Honda, H., Matsuka, T., Ueda, K., The effect of context on decisions: Decision by sampling based on probabilistic beliefs., Annual Conference of the Cognitive Science Society (COGSCI 2020) (2020/7/26-29), 2020, Virtual, reviewed BibTeX
  39. 39. Gu, Y., Honda, H., Matsuka, T., Ueda, K., The rational side of decision “bias” based on verbal probabilities., Annual Conference of the Cognitive Science Society (COGSCI 2020) (2020/7/26-30), 2020, Virtual, reviewed BibTeX
  40. 40. *Haruo Hosoya, A deep generative model explaining tuning properties of monkey face processing patches, 第43回日本神経科学大会, 2020, online, reviewed oral BibTeX
  41. 41. Doya, Kenji, Toward multi-scale brain data assimilation, CNS*2020 Workshop: Machine learning and mechanistic modeling for understanding brain in health and disease, 2020, online, invited BibTeX
  42. 42. *Milena Menezes Carvalho, Tomoki Fukai, Self-supervision mechanism of multiple dendritic compartments for temporal feature learning, 29th Annual Computational Neuroscience Meeting (CNS 2020), 2020, online, poster BibTeX
  43. 43. *Milena Menezes Carvalho, Tomoki Fukai, Self-supervision mechanism of multiple dendritic compartments for temporal feature learning, 29th Annual Computational Neuroscience Meeting (CNS 2020), 2020, online, poster BibTeX
  44. 44. *De Havas J, Ito S, Gomi H, Brain responses to tactile oddballs are modulated by illusory pulling direction., Federation of European Neuroscience Societies Forum (FEN2020), 2020, online, poster BibTeX
  45. 45. *Koji Ishihara, Jun Morimoto, MPC for fumanoid control, Robotics: Science and Systems (RSS2020)Workshop (2020/7/12-16), 2020, Online, reviewed BibTeX
  46. 46. Tadahiro Taniguchi, Symbol Emergence in Robotics: Integrative Probabilistic Generative Models for Developmental Human-Robot Communication in the Real-world Environment, IEEE Ubiquitous Robots 2020, 2020, Online, Japan, keynote BibTeX
  47. 47. Doya K, How Can the Brain Connect Predictors and Actors on the Fly?, Workshop on Learning for flexible, context-sensitive behavior, 2020, 2020/3/12-3/13, Bielfeld, GERMANY, invited BibTeX
  48. 48. *Tatsuya Haga, Tomoki Fukai, Multiscale associative memory recall by modulation of inhibitory circuits, Computational and Systems Neuroscience (Cosyne) 2020, 2020, Denver, USA, poster BibTeX
  49. 49. *Tatsuya Haga, Tomoki Fukai, Multiscale associative memory recall by modulation of inhibitory circuits, Computational and Systems Neuroscience (Cosyne) 2020, 2020, Denver, USA, poster BibTeX
  50. 50. *Hikida T, The role of the parallel pathways in the nucleus accumbens for reward and aversive learning, MACS International Symposium: COMPUTATIONAL PRINCIPLES IN ACTIVE PERCEPTION AND REINFORCEMENT LEARNING IN THE BRAIN, 2020, invited BibTeX
  51. 51. Rahman F, Doya K, Mickheyev A, Identifying the Evolutionary Conditions for the Emergence of Alternative Reproductive Tactics in Simulated Robot Colonies, AROB 25th 2020, 2020, 2020/1/22-1/24, Beppu, Oita and ONLINE, oral BibTeX
  52. 52. 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, The 10th Takeda Science Foundation Symposium on PharmaSciences – Mental Illness: Human Biology and Preclinical Modeling for Translation, 2020, poster BibTeX
  53. 53. Doya K, What can we further learn from the brain for artificial intelligence?, The 20th winter workshop Mechanism of Brain and Mind, 2020, 2020/1/8-1/10, Rusutsu, HOKKAIDO, invited BibTeX
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