1. Taylor JE, Ogawa A*, Sakagami M , Reward value enhances post-decision error-related activity in the cingulate cortex , Neuroscience research, 2016, 107, 38-46, reviewed BibTeX
2. Takeuchi H, Kawada R, Tsurumi K, Yokoyama N, Takemura A, Murao T, Murai T, ＊Takahashi H., Heterogeneity of Loss Aversion in Pathological Gambling., J Gambl Stud, 2016, 32, 4, 1143-1154, reviewed＃ BibTeX
3. *Cheng K, What we have learned about human primary visual cortex from high resolution functional magnetic resonance imaging, Magnetic Resonance in Medical Sciences, 2016, 15, 1, 1-10, reviewed BibTeX
4. Jaaro-Peled H, Altimus C, LeGates T, Cash-Padgett T, Zoubovsky S, Hikida T, Ishizuka K, Hattar S, Mongrain V, Sawa A, Abnormal wake/sleep pattern in a novel gain-of-function model of DISC1, Neuroscience Research, 2016, 112, 63-69, reviewed BibTeX
5. Aotani D, Son C, Shimizu Y, Nomura H, Hikida T, Kusakabe T, Tanaka T, Miyazawa T, Hosoda K, Nakao K, Reevaluation of anti-obesity action of mazindol and elucidation of its effect on the reward system, Neuroscience Letters, 2016, 633, 141-145, reviewed# BibTeX
6. Morita M, Wang Y, Sasaoka T, Okada K, Niwa M, Sawa A, *Hikida T, Dopamine D2L receptor is required for visual discrimination and reversal learning, Molecular Neuropsychiatry, 2016, 2, 3, 124-132, reviewd# BibTeX
7. Fujino J, Hirose K, Tei S, Kawada R, Tsurumi K, Matsukawa N, Miyata J, Sugihara G, Yoshihara Y, Ideno T, Aso T, Takemura K, Fukuyama H, Murai T, *Takahashi H., Ambiguity aversion in schizophrenia: An fMRI study of decision-making under risk and ambiguity., Schizophr Res, 2016, 178, 1-3, 94-101, reviewed&# BibTeX
8. Fujino J, Fujimoto S, Kodaka F, Camerer CF, Kawada R, Tsurumi K, Tei S, Isobe M, Miyata J, Sugihara G, Yamada M, Fukuyama H, Murai T, *Takahashi H., Neural mechanisms and personality correlates of the sunk cost effect., Sci Rep, 2016, 6, 33171, reviewed&# BibTeX
9. Wan X, Cheng K, *Tanaka K, The neural system of postdecision evaluation in rostral frontal cortex during problem-solving tasks, eNeuro, 2016, 3, 4, 0188-16, reviewed BibTeX
10. Kameda T*, Inukai K, Higuchi S, Ogawa A, Kim H, Matsuda T, Sakagami M , Rawlsian maximin rule operates as a common cognitive anchor in distributive justice and risky decisions , Proceedings of the National Academy of Sciences of the United States of America , 2016, 113, 42, 11817-11822, reviewed& BibTeX
11. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Nucleus accumbens dopamine D2-receptor expressing neurons control behavioral flexibility in a place discrimination task in the IntelliCage, Learning & Memory, 2016, 23, 7, 359-364, reviewd BibTeX
12. *Hikida T, Morita M, Macpherson T, Neural mechanism of the nucleus accumbens circuit in reward and aversive learning, Neuroscience Research, 2016, 108, 1-5, reviewed BibTeX
13. Fujimoto A, *Takahashi H., Flexible modulation of risk attitude during decision-making under quota, Neuroimage, 2016, 139, 304-312, reviewed&# BibTeX
14. Zhang Y, Pan X*, Wang R, Sakagami M , Functional connectivity between prefrontal cortex and striatum estimated by phase locking value , Cognitive neurodynamics, 2016, 10, 3, 245-254, reviewed& BibTeX
15. Yahata N, Morimoto J, Hashimoto R, Lisi G, Shibata K, Kawakubo Y, Kuwabara H, Kuroda M, Yamada T, Megumi F, Imamizu H, Náñez JE Sr, Takahashi H, Okamoto Y, Kasai K, Kato N, Sasaki Y, Watanabe T, ＊Kawato M., A small number of abnormal brain connections predicts adult autism spectrum disorder., Nat Commun, 2016, 7, 11254, reviewed BibTeX
16. *Lehky SR, Tanaka K, Neural representation for object recognition in inferotemporal cortexurrent Opinion in Neurobiology, Current Opinion in Neurobiology, 2016, 37, 23-35, reviewed BibTeX
17. Yamada H, Inokawa H, Hori Y, Pan X, Matsuzaki R, Nakamura K, Samejima K, Shidara M, Kimura M, Sakagami M, Minamimoto T* , Characteristics of fast-spiking neurons in the striatum of behaving monkeys , Neuroscience research, 2016, 105, 2-18, reviewed BibTeX
1. *Koji Ishihara,Jun Morimoto, A hierarchical model predictive control approach to generate biped robot movements in real-time, IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots(SIMPAR2016) Workshop, 2016, San Francisco, USA, reviewed# BibTeX
2. *Nakahara H, Neural computations for making decisions with others’ choice and reward, Workshop “Arrowhead 10 years on: what have we learned and what is there still to learn about the neural bases of decision-making?, 2016, Sydney, Australia, oral, invited BibTeX
3. Masamichi Sakagami, Signal interaction between primate prefrontal cortex and striatum in an asymmetric reward task, Neural Basis for Decision Making Conference 2016, 2016, Sydney BibTeX
4. Hidehiko Takahashi, Flexible modulation of risk attitude during decision-making under quota and its disorder, Arrowhead 10 years on: What have we learned and what is there still to learn about the neural bases of decision-making?, 2016, Sydney, Australia, invited BibTeX
5. *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, 55th Annual Meeting of the American College of Neuropsychopharmacology, 2016, poster BibTeX
6. Masamichi Sakagami, Decoding the value of juice from electrocorticographic signals in monkey prefrontal cortices and its modulation through the decoded neurofeedback, ANS 2016 HOBART Australasian Neuroscience Society 36th Annual Scientific Meeting, 2016, Australia BibTeX
7. Mineki Oguchi and Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Chemogenetic Double Virus Vector Infection, NHP Chemogenetics workshop 2016, 2016, Bethesda, invited BibTeX
8. *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens is necessary for behavioral flexibility in an IntelliCage place discrimination task, International Symposium “Wiring and Functional Principles of Neural Circuits, 2016, poster BibTeX
9. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for deciding with predicting others, The 46th Annual Meeting of the Society for Neuroscience (sfn 2016), 2016, San Diego, USA., poster BibTeX
10. 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, The 46th Annual Meeting of the Society for Neuroscience (sfn 2016), 2016, San Diego, USA., poster BibTeX
11. 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 , Annual meeting of the Society for Neuroscience 2016, 2016, San Diego BibTeX
12. *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, Neuroscience 2016, 2016, poster BibTeX
13. Morita M, Macpherson T, Sawa A, *Hikida T, Learning deficits involving nucleus accumbens D2-receptor expressing neurons in a DISC1 mouse model, Neuroscience 2016, 2016, poster BibTeX
14. 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, Neuroscience 2016, 2016, poster BibTeX
15. 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, Neuroscience 2016, 2016, invited BibTeX
16. Akira Taniguchi, Tadahiro Taniguchi, Angelo Cangelosi, Multiple categorization by icub: learning relationships between multiple modalities and words, IROS Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics, 2016, Daejeon,Korea, reviewed BibTeX
17. Tadahiro Taniguchi, Nonparametric Bayesian Word Discovery for Symbol Emergence in Robotics, Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics 2016 ML-HLCR2016, in IROS2016, 2016, Daejeon, Korea, invited BibTeX
18. 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, IEEE 5th Global Conference on Consumer Electronics, 2016, Kyoto Japan, reviewed BibTeX
19. *Ales Ude,Rok VugaA,Bojan Nemec,Jun Morimoto, Trajectory representation by nonlinear scaling of dynamic movement primitives, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS2016), 2016, Daejeon, Korea, reviewed# BibTeX
20. *Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approac, IEEE International Conference on Robotics and Automation(ICRA2016), 2016, Daejeon, Korea, reviewed# BibTeX
21. Masamichi Sakagami, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Double Virus Vector Infection, Rochester Conte Center Symposium, 2016, Rochester, invited BibTeX
22. *Tanaka K, Brain Mechanisms of intuitive problem solving in experts, 2016, Invited symposium BibTeX
23. T. Taniguchi, Symbol emergence in robotics for long-term human-robot collaboration, IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, 2016, Kyoto Japan, reviewed BibTeX
24. M. Sakagami, Signal Interaction between Primate Prefrontal Cortex and Striatum in Asymmetric Reward Task , The third Conference on Cognitive Neurodynamics , 2016, China, invited BibTeX
25. Ma N, Harasawa N, Ueno K, Ichinohe N, Haruno M, Cheng K, *Nakahara H, Neural mechanisms for decision-making with predicting others: human fMRI, The 39th Annual Meeting of the Japan Neuroscience Society, 2016, Kanagawa, Japan, poster BibTeX
26. 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, The 39th Annual Meeting of the Japan Neuroscience Society, 2016, Kanagawa, Japan, poster BibTeX
27. 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, 10th FENS Forum of Neuroscience, 2016, poster BibTeX
28. Tanaka S, Oguchi M, Sakagami M, Elucidating the Function of the Prefronto-striatal Circuit of the Macaque Brain Using the Virus Vector Infection, The 39th Annual Meeting of the Japan Neuroscience Society, 2016, Yokohama BibTeX
29. 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, The 39th Annual Meeting of the Japan Neuroscience Society, 2016, Yokohama BibTeX
30. *Waggoner RA, Tanskanen T, Tanaka K, Cheng K, Enhancement of event-related fMRI studies of the human visual system using multi-band EPI, 2016, reviewed poster BibTeX
4. Macpherson T, Morita M, Wang Y, Sasaoka T, Sawa A, *Hikida T, Activity in dopamine D2-receptor-expressing nucleus accumbens neurons is necessary for behavioral flexibility in an IntelliCage place discrimination task, 日本生理学会第109回近畿生理学談話会, 2016 BibTeX
10. *Waggoner RA, Tanskanen T, Tanaka K, Cheng K, Serial autocorrelations and multiband fMRI, 第44回日本磁気共鳴医学会大会, 2016 BibTeX
11. *Gupta S, Waggoner RA, Tanaka K, Cheng K, Effect of load size and load position on coupling between the elements of an array coil, 第44回日本磁気共鳴医学会大会, 2016 BibTeX
1. 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, IEEE GCCE 2016 Outstanding Paper Award, 2016 BibTeX
