International Journal Paper

  1. 1. Yamaguchi T, Lin D, Functions of medial hypothalamic and mesolimbic dopamine circuitries in aggression, Current Opinion in Behavioral Sciences, 2018 12, 24, 104-112, invitedreviewed BibTeX
  2. 2. Tomoki Kurikawa, Tatsuya Haga, Takashi Handa, Rie Harukuni and *Tomoki Fukai, Neuronal stability in medial frontal cortex sets individual variability in decision-making, Nature Neuroscience, 2018 November, 21, 1764-1773, reviewed BibTeX
  3. 3. Tomoki Kurikawa, Tatsuya Haga, Takashi Handa, Rie Harukuni & Tomoki Fukai, Neuronal stability in medial frontal cortex sets individual variability in decision-making, Nature Neuroscience, 2018 11, 21, 1764–1773, reviewed# BibTeX
  4. 4. Tatsuya Haga and Tomoki Fukai , Dendritic processing of spontaneous neuronal sequences for single-trial learning, Scientific Reports, 2018 October, 8, 1, 15166, reviewed BibTeX
  5. 5. Toshitake Asabuki, Naoki Hiratani and Tomoki Fukai, Interactive reservoir computing for chunking information streams, PLoS Computational Biology, 2018 October, 14, 10, e1006400, reviewed BibTeX
  6. 6. 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 9, 27, 18, 3165-3176, reviewed# BibTeX
  7. 7. 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: BibTeX
  8. 8. *Naoki Hiratani and Tomoki Fukai, Redundancy in synaptic connections enables neurons to learn optimally, Proceedings of the National Academy of Sciences of the USA, 2018 July, 115, 29, E6871-E6879, reviewed BibTeX
  9. 9. *Chi Chung Alan Fung and Tomoki Fukai, Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Variability, Scientific Reports, 2018 July, 8, 1, 10680, reviewed BibTeX
  10. 10. Tatsuya Haga and *Tomoki Fukai, Recurrent network model for learning goal-directed sequences through reverse replay, Elife, 2018 July, 7, e34171, reviewed BibTeX
  11. 11. 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 7, 8, 1, 10454, reviewed BibTeX
  12. 12. 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 7, 174, 2, 481-496, reviewed BibTeX
  13. 13. *Honda, H., Fujisaki, I., Matsuka, T., & Ueda, K., Typicality or fluency? A Comparison of two hypotheses about cognitive effects of Japanese script, Experimental Psychology, 2018 , 65, 4, 210-217, reviewed BibTeX
  14. 14. Gonzalo Martín-Vázquez, Toshitake Asabuki, Yoshikazu Isomura and *Tomoki Fukai, Learning Task-Related Activities From Independent Local-Field-Potential Components Across Motor Cortex Layers, Frontiers in Neuroscience, 2018 June, 12, 429, 1-16, reviewed BibTeX
  15. 15. 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 6, 12, 418, reviewed# BibTeX
  16. 16. 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
  17. 17. 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
  18. 18. 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
  19. 19. Takumi Ege and Keiji Yanai, Image-Based Food Calorie Estimation Using Recipe Information, IEICE Transactions on Information and Systems, 2018 5, E101-D, 5, 1333-1341, reviewed BibTeX
  20. 20. 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 4, 3, 4, 223–233, reviewed# BibTeX
  21. 21. Fang YY, Yamaguchi T, Song SC, Tritsch NX, Lin D, A Hypothalamic Midbrain Pathway Essential for Driving Maternal Behaviors., Neuron, 2018 4, 98, 1, 192-207, reviewed BibTeX
  22. 22. 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 3, 8, 1, 5095, reviewed& BibTeX
  23. 23. *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
  24. 24. *HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka and Takashi Bando, Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder, Sensors, 2018 , 18, 2, 608, reviewed#, DOI:10.3390/s18020608 BibTeX
  25. 25. 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 , reviewed& BibTeX
  26. 26. *Yoshizawa T, Ito M, Doya K, Reward-predictive neural activities in striatal striosome compartments, eNeuro, 2018 , 5, 1, 0367, reviewed# BibTeX
  27. 27. 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 1, 12, 3, reviewed&# BibTeX
  28. 28. *Peter Bossaerts, Shinsuke Suzuki, John P. O’Doherty, Perception of Intentionality in Investor Attitudes Towards Financial Risks, Journal of Behavioral and Experimental Finance, in press , reviewed BibTeX
  29. 29. *Elfwing S, Uchibe E, Doya K, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018 , Special Issue 2017, 17, 30297-6, reviewed# BibTeX
  30. 30. *Koji Ishihara, Jun Morimoto, An optimal control strategy for hybrid actuator systems: application to an artificial muscle with electric motor assist, Neural Networks, 2018 1, 99, 92-100, reviewed&# BibTeX
  31. 31. Stefan Elfwing*, Eiji Uchibe, and Kenji Doya, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018 , reviewed# BibTeX
  32. 32. Kang Cheng, Exploration of human visual cortex using high spatial resolution functional magnetic resonance imaging, NeuroImage, 2018 , 164, 4-9, reviewed BibTeX
  33. 33. *Akira Taniguchi, Tadahiro Taniguchi, and Tetsunari Inamura, Unsupervised Spatial Lexical Acquisition by Updating a Language Model with Place Clues, Robotics and Autonomous Systems, 2017 , 99, 166-180, reviewed#, DOI: 10.1016/j.robot.2017.10.013 BibTeX
  34. 34. 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
  35. 35. 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