PUBLICATIONS
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International Journal Paper

  1. 1. Fujino J, Kawada R, Tsurumi K, Takeuchi H, Murao T, Takemura A, Tei S, Murai T, *Takahashi H., An fMRI study of decision-making under sunk costs in gambling disorder, Eur Neuropsychopharmacol, 2018, 28, 1371-1381, reviewed& BibTeX
  2. 2. Ogasawara T, Nejime M, *Takada M, *Matsumoto M, Primate nigrostriatal dopamine system regulates saccadic response inhibition, Neuron, 2018, 100, 1513-1526, reviewed BibTeX
  3. 3. Ryohei Fukuma, Takufumi Yanagisawa*, Masataka Tanaka, Fumiaki Yoshida, Koichi Hosomi, Satoru Oshino, Naoki Tani, Haruhiko Kishima, Real-time neurofeedback to modulate β-band power in the subthalamic nucleus in Parkinson’s disease patients, eNeuro, 2018, 5, 6, 0246-18, reviewed BibTeX
  4. 4. Isobe M, Kawabata M, Murao E, Noda T, Matsukawa N, Kawada R, Uwatoko T, Murai T, Noma S, *Takahashi H., Exaggerated envy and guilt measured by economic games in Japanese women with anorexia nervosa., Biopsychosoc Med, 2018, 12, 19, reviewed BibTeX
  5. 5. Yamaguchi T, Lin D, Functions of medial hypothalamic and mesolimbic dopamine circuitries in aggression, Current Opinion in Behavioral Sciences, 2018, 24, 104-112, invited,reviewed,# BibTeX
  6. 6. Idei H, Murata S, Chen Y, Yamashita Y, Tani J, Ogata T*, A Neurorobotics Simulation of Autistic Behavior Induced by Unusual Sensory Precision, Computational Psychiatry, 2018, 2, 164-182, reviewed& BibTeX
  7. 7. Fujino J, Tei S, Itahashi T, Aoki Y, Ohta H, Kubota M, Isobe M, Hashimoto RI, Nakamura M, Kato N, *Takahashi H., Need for closure and cognitive flexibility in individuals with autism spectrum disorder: A preliminary study, Psychiatry Res., 2018, 271, 247-252, reviewed BibTeX
  8. 8. Kurikawa T, Haga T, Handa T, Harukuni R, *Fukai T, Neuronal stability in medial frontal cortex sets individual variability in decision-making, Nature Neuroscience, 2018, 21, 1764-1773, reviewed BibTeX
  9. 9. Tatsuya Teramae, Koji Ishihara, Jan Babic, Jun Morimoto, *Erhan Oztop, Human-in-the-loop control and task learning for pneumatically actuated muscle based robots, Frontiers in Neurorobotics, 2018, 12, 71, reviewed& BibTeX
  10. 10. K Lee, Y Oh, J Izawa, N Schweighofer, Sensory prediction errors, not performance errors, update memories in visuomotor adaptation, Scientific Reports, 2018, 8, 16483, reviewed BibTeX
  11. 11. Haga T, Fukai T, Dendritic processing of spontaneous neuronal sequences for single-trial learning, Scientific Reports, 2018, 8, 1, 15166, reviewed BibTeX
  12. 12. Asabuki T, Hiratani N, Fukai T, Interactive reservoir computing for chunking information streams, PLoS Computational Biology, 2018, 14, 10, e1006400, reviewed BibTeX
  13. 13. *Uchibe, E, Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules, Frontiers in Neurorobotics, 2018, 12, reviewed BibTeX
  14. 14. Ono M, Kochiyama T, Fujino J, Sozu T, Kawada R, Yokoyama N, Sugihara G, Murai T, *Takahashi H., Self-efficacy modulates the neural correlates of craving in male smokers and ex-smokers: an fMRI study, Addict Biol, 2018, 23, 1179-1188, reviewed# BibTeX
  15. 15. 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, 27, 18, 3165-3176, reviewed# BibTeX
  16. 16. *Matsumoto M, Inoue K, Takada M, Causal Role of Neural Signals Transmitted From the Frontal Eye Field to the Superior Colliculus in Saccade Generation, Frontiers in Neural Circuits, 2018, 12, 69, reviewed BibTeX
  17. 17. Tei S, Kauppi JP, Fujino J, Jankowski KF, Kawada R, Murai T, *Takahashi H., Inter-subject correlation of temporoparietal junction activity is associated with conflict patterns during flexible decision-making, Neurosci Res, 2018, 144, 67-70, reviewed BibTeX
  18. 18. 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: https://doi.org/10.1371/journal.pone.0201610 BibTeX
  19. 19. K. Fujita, A. Medvedev, S. Koyama, R. Lambiotte, and S. Shinomoto, Identifying exogenous and endogenous activity in social media, Physical Review E, 2018, 98, 52304, reviewed & BibTeX
  20. 20. Matsushita K, Hirata M, Suzuki T, Ando H, Yoshida T, Ota Y, Sato F, Morris S, Sugata H, Goto T, Yanagisawa T, Yoshimine T., A Fully Implantable Wireless ECoG 128-Channel Recording Device for Human Brain-Machine Interfaces: W-HERBS., Front Neurosci., 2018, 12, 511, reviewed BibTeX
  21. 21. Takeuchi H, Tsurumi K, Murao T, Mizuta H, Murai T, *Takahashi H., Amygdala volume is associated with risky probability cognition in gambling disorder, Addict Biol, 2018, 24, 802-810, reviewed& BibTeX
  22. 22. *Hiratani N, Fukai T, Redundancy in synaptic connections enables neurons to learn optimally, Proceedings of the National Academy of Sciences of the USA, 2018, 115, 29, E6871-E6879, reviewed BibTeX
  23. 23. *Fung CCA, Fukai T, Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Variability, Scientific Reports, 2018, 8, 1, 10680, reviewed BibTeX
  24. 24. Yanagisawa T., Fukuma R., Seymour B., Hosomi K., Kishima H., Shimizu T., Yokoi H., Hirata M., Yoshimine T., Kamitani Y., Saitoh Y., MEG-BMI to control phantom limb pain, Neurologia medico-chirurgica, 2018, 58, 8, 327-333, reviewed BibTeX
  25. 25. Haga T,*Fukai T, Recurrent network model for learning goal-directed sequences through reverse replay, Elife, 2018, 7, e34171, reviewed BibTeX
  26. 26. Mori Y, *Miyata J, Isobe M, Son S, Yoshihara Y, Aso T, Kouchiyama T, Murai T, Takahashi H., Effect of phase-encoding direction on group analysis of resting-state functional magnetic resonance imaging, Psychiatry Clin Neurosci, 2018, 72, 683-691, reviewed BibTeX
  27. 27. Hidaka Y, Lim CK, Takayama-Ito M, Park CH, Kimitsuki K, Shiwa N, Inoue K, *Itou T, Segmentation of the rabies virus genome., Virus Research, 2018, 252, 68-75, reviewed BibTeX
  28. 28. 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, 8, 1, 10454, reviewed BibTeX
  29. 29. 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, 174, 2, 481-496, reviewed BibTeX
  30. 30. * H. Honda, I. Fujisaki, T. Matsuka, K. Ueda, Typicality or fluency? a comparison of two hypotheses about cognitive effects of japanese script, Experimental Psychology, 2018, 65, 4, 210-217, reviewed BibTeX
  31. 31. *Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami, Autonomous Regulation of Self and Non-Self by Stimulation Avoidance in Embodied Neural Networks, Proceedings of the ALIFE 2018, 2018, 1, 163-170, reviewed BibTeX
  32. 32. Martín-Vázquez G, Asabuki T, Isomura Y, *Fukai T, Learning Task-Related Activities From Independent Local-Field-Potential Components Across Motor Cortex Layers, Frontiers in Neuroscience, 2018, 12, 429, 1-16, reviewed BibTeX
  33. 33. Fukuma R., Yanagisawa. T., Yokoi H., Hirata M., Yoshimine T., Saitoh Y., Kamitani Y., Kishima H., Training in use of brain-machine interface-controlled robotic hand improves accuracy decoding two types of hand movements, Front. Neurosci., 2018, 478, reviewed BibTeX
  34. 34. 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, 12, 418, reviewed# BibTeX
  35. 35. 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
  36. 36. Tei S, Fujino J, Hashimoto RI, Itahashi T, Ohta H, Kanai C, Kubota M, Nakamura M, Kato N, *Takahashi H., Inflexible daily behaviour is associated with the ability to control an automatic reaction in autism spectrum disorder., Sci Rep, 2018, 8, 8082, reviewed& BibTeX
  37. 37. *Tadahiro Taniguchi, Ryo Yoshino, Toshiaki Takano, Multimodal hierarchical dirichlet process-based active perception by a robot, Frontiers in Neurorobotics, 2018, 12, 22, reviewed BibTeX
  38. 38. 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
  39. 39. 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
  40. 40. Takumi Ege* and Keiji Yanai, Image-based food calorie estimation using recipe information, IEICE Transactions on Information and Systems, 2018, E101-D, 5, 1333-1341, reviewed BibTeX
  41. 41. *Abekawa N, Ferre ER, Gallagher M, Gomi H, Haggard P, Disentangling the visual, motor and representational effects of vestibular input, Cortex, 2018, 2018, 104 BibTeX
  42. 42. Yokoyama N, Sasaki H, Mori Y, Ono M, Tsurumi K, Kawada R, Matsumoto Y, Yoshihara Y, Sugihara G, Miyata J, Murai T, *Takahashi H., Additive Effect of Cigarette Smoking on Gray Matter Abnormalities in Schizophrenia, Schizophr Bull, 2018, 44, 535-541, reviewed# BibTeX
  43. 43. 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, 3, 4, 223–233, reviewed# BibTeX
  44. 44. Fang YY, Yamaguchi T, Song SC, Tritsch NX, Lin D, A Hypothalamic Midbrain Pathway Essential for Driving Maternal Behaviors, Neuron, 2018, 98, 1, 192-207, reviewed BibTeX
  45. 45. 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, 8, 1, 5095, reviewed& BibTeX
  46. 46. *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
  47. 47. * H. Liu, T. Taniguchi, K. Takenaka, T. Bando, Defect-repairable latent feature extraction of driving behavior via a deep sparse autoencoder, Sensors, 2018, 18, 2, 608, reviewed BibTeX
  48. 48. 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, 50, 5, 1918-1931, reviewed& BibTeX
  49. 49. 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, 12, 3, reviewed&# BibTeX
  50. 50. *Koji Ishihara, Jun Morimoto, An optimal control strategy for hybrid actuator systems: application to an artificial muscle with electric motor assist, Neural Networks, 2018, 99, 92-100, reviewed&# BibTeX
  51. 51. *Elfwing S, Uchibe E, Doya K, Sigmoid-weighted linear units for neural network function approximation in reinforcement learning, Neural Networks, 2018, 107, 3-11, reviewed BibTeX
  52. 52. *Cheng K, Exploration of human visual cortex using high spatial resolution functional magnetic resonance imaging, Neuroimage, 2018, 164, 4-9, reviewed BibTeX
  53. 53. *A. Taniguchi, T. Taniguchi, T. Inamura, Unsupervised spatial lexical acquisition by updating a language model with place clues, Robotics and Autonomous Systems, 2018, 99, Jan 2018, 166-180, reviewed BibTeX
  54. 54. 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
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