Mosaic model for sensorimotor learning and control M Haruno, DM Wolpert, M Kawato Neural computation 13 (10), 2201-2220, 2001 | 962 | 2001 |
Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning M Haruno, M Kawato Journal of neurophysiology 95 (2), 948-959, 2006 | 506 | 2006 |
A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task M Haruno, T Kuroda, K Doya, K Toyama, M Kimura, K Samejima, ... Journal of Neuroscience 24 (7), 1660-1665, 2004 | 370 | 2004 |
Learning to simulate others' decisions S Suzuki, N Harasawa, K Ueno, JL Gardner, N Ichinohe, M Haruno, ... Neuron 74 (6), 1125-1137, 2012 | 245 | 2012 |
Activity in the amygdala elicited by unfair divisions predicts social value orientation M Haruno, CD Frith Nature neuroscience 13 (2), 160-161, 2010 | 238 | 2010 |
Hierarchical MOSAIC for movement generation M Haruno, DM Wolpert, M Kawato International congress series 1250, 575-590, 2003 | 233 | 2003 |
Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning M Haruno, M Kawato Neural networks 19 (8), 1242-1254, 2006 | 189 | 2006 |
Feature selection in SVM text categorization H Taira, M Haruno AAAI/IAAI, 480-486, 1999 | 178 | 1999 |
Motor memory and local minimization of error and effort, not global optimization, determine motor behavior G Ganesh, M Haruno, M Kawato, E Burdet Journal of neurophysiology 104 (1), 382-390, 2010 | 114 | 2010 |
Multiple paired forward-inverse models for human motor learning and control M Haruno, DM Wolpert, M Kawato Advances in neural information processing systems 11, 1998 | 114 | 1998 |
High-performance bilingual text alignment using statistical and dictionary information M Haruno, T Yamazaki Natural language engineering 3 (1), 1-14, 1997 | 113 | 1997 |
Optimal control of redundant muscles in step-tracking wrist movements M Haruno, DM Wolpert Journal of Neurophysiology 94 (6), 4244-4255, 2005 | 106 | 2005 |
Using decision trees to construct a practical parser M Haruno, S Shirai, Y Ooyama Machine Learning 34 (1), 131-149, 1999 | 106 | 1999 |
Activity in the Nucleus Accumbens and Amygdala Underlies Individual Differences in Prosocial and Individualistic Economic Choices M Haruno, M Kimura, CD Frith Journal of Cognitive Neuroscience 26 (8), 1861-70, 2014 | 105 | 2014 |
Selective increase of intention-based economic decisions by noninvasive brain stimulation to the dorsolateral prefrontal cortex T Nihonsugi, A Ihara, M Haruno Journal of Neuroscience 35 (8), 3412-3419, 2015 | 102 | 2015 |
Biomimetic motor behavior for simultaneous adaptation of force, impedance and trajectory in interaction tasks G Ganesh, A Albu-Schäffer, M Haruno, M Kawato, E Burdet 2010 IEEE International Conference on Robotics and Automation, 2705-2711, 2010 | 102 | 2010 |
Dopamine neurons learn to encode the long-term value of multiple future rewards K Enomoto, N Matsumoto, S Nakai, T Satoh, TK Sato, Y Ueda, H Inokawa, ... Proceedings of the National Academy of Sciences 108 (37), 15462-15467, 2011 | 94 | 2011 |
Reward prediction error signal enhanced by striatum–amygdala interaction explains the acceleration of probabilistic reward learning by emotion N Watanabe, M Sakagami, M Haruno Journal of Neuroscience 33 (10), 4487-4493, 2013 | 75 | 2013 |
Learning bilingual collocations by word-level sorting M Haruno, S Ikehara, T Yamazaki COLING 1996 Volume 1: The 16th International Conference on Computational …, 1996 | 57 | 1996 |
Sparse linear regression for reconstructing muscle activity from human cortical fMRI G Ganesh, E Burdet, M Haruno, M Kawato Neuroimage 42 (4), 1463-1472, 2008 | 46 | 2008 |