Revised: January 21, 2010
[179] Katori Y, Lang EJ, Onizuka M, Kawato M, Aihara K: Quantitative modeling of the spatio-temporal dynamics of inferior olive neurons with a simple conductance-based model. International Journal of Bifurcation and Chaos, in press (2010)
[178] Tee KP, Franklin DW, Kawato M, Milner TE, Burdet E: Concurrent adaptation of force and impedance in the redundant muscle system. Biological Cybernetics, 102:31-44 (2010)
[177] Higuchi S, Chaminade T, Imamizu H, Kawato M: Shared neural correlates for language and tool-use in Broca's area. NeuroReport, 20, 1376-1381(2009)
[176] Shibata K, Yamagishi N, Ishii S, Kawato M: Boosting perceptual learning by fake feedback. Vision Research, 49(21), 2574-85 (2009)
[175] Nishina S, Kawato M, Watanabe T: Perceptual learning of global pattern motion occurs on the basis of local motion. Journal of Vision, 9, 1-6 (2009)
[174] Osu R, Morishige K, Miyamoto H, Kawato M: Feedforward impedance control efficiently reduce motor variability. Neuroscience Research, 65(1), 6-10 (2009）
[173] Nambu I, Osu R, Sato M, Ando S, Kawato M, Naito E: Single-trial reconstruction of finger-pinch forces from human motor-cortical activations measured by near-infrared spectroscopy (NIRS). NeuroImage, 47, 628-637 (2009)
[172] Imamizu H, Kawato M: Brain mechanisms for predictive control by switching internal models: implications for higher- order cognitive functions. Psychological Research, 73, 527-544 (2009)
[171] Haruno M, Kawato M: Activity in the superior temporal sulcus highlights learning competence in an interaction game. Journal of Neuroscience, 29, 4542-4547 (2009)
[170] Fujiwara Y, Yamashita O, Kawawaki D, Doya K, Kawato M, Toyama K, Sato M: A hierarchical bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. NeuroImage, 45, 393-409 (2009)
[169] Ogasawara H, Kawato M: Bistable switches for synaptic plasticity. Science Signaling, 2(56), pe7. (2009)
[168] Franklin D, Burdet E, Peng T, Osu R, Meng C, Milner T, Kawato M: CNS learns stable accurate and efficient movements using a simple algorithm. Journal of Neuroscience, 28(44), 11165-11173 (2008)
[167] Imamizu H, Kawato M: Neural correlates of predictive and postdictive switching mechanisms for internal models. Journal of Neuroscience, 28(42), 10751-10765 (2008)
[166] Ting JA, D'Souza A, Yamamoto K, Yoshioka T, Hoffman D, Kakei S, Sergio L, Kalaska J, Kawato M, Strick P, Schaal S: Variational bayesian least squares: an application to Brain-Machine Interface data. Neural Networks, 21(8), 1112-1131 (2008)
[165] Ganesh G, Burdet E, Haruno M, Kawato M: Sparse linear regression for reconstructing muscle activity from human cortical fMRI. NeuroImage, 42(4), 1463-1472 (2008)
[164] Yoshioka T, Toyama K, Kawato M, Yamashita O, Nishina S, Yamagishi N, Sato M: Evaluation of hierarchical bayesian method through retinotopic signal reconstruction from MEG measurement. NeuroImage, 42, 1397-1413 (2008)
[163] Ogasawara H, Doi T, Kawato M: Systems biology perspectives on cerebellar long-term depression, NeuroSignals, 16, 300-317 (2008)
[162] Shibata K, Yamagishi N, Goda N, Yoshioka T, Yamashita O, Sato M, Kawato M: The effects of feature attention on pre-stimulus cortical activity in the human visual system. Cerebral Cortex, 18, 1664-1675 (2008)
[161] Oztop E, Babic J, Hale J, Cheng G, Kawato M: From biologically realistic imitation to robot teaching via human motor learning. Neural Information Processing, 214-221 (2008)
[160] Kawato M: From "Understanding the brain by creating the brain" towards manipulative neuroscience. Philosophical Transactions of the Royal Society B, 363, 2201-2214 (2008)
[159] Kawato M: Brain controlled robots. HFSP Journal, 2(3), 136-142 (2008)
[158] Chaminade T, Oztop E, Cheng G, Kawato M: From self-observation to imitation: visuomotor association on a robotic hand. Brain Research Bulletin, 75, 775-784 (2008)
[157] Yamagishi N, Callan DE, Anderson SJ, Kawato M: Attentional changes in pre-stimulus oscillatory activity within the early visual cortex are predictive of human visual performance. Brain Research, 1197, 115-122 (2008)
[156] Franklin DW, SO Udell, Burdet E, Kawato M: Visual feedback is not necessary for the learning of novel dynamics. PLoS ONE, 19; 2(12), e1336 (2007)
[155]
Callan DE,
Kawato M, Parsons L, Turner R: Speech and song: the role of the
cerebellum. Cerebellum, 2007 Feb 8, 1-7
(2007)
[154] Nishina S, Yazdanbakhsh A, Watanabe T, Kawato M: Depth propagation on illusory surface. Journal of Optical Society of America A, 27(4), 905-910 (2007)
[153] Nishina S, Seitz A, Kawato M, Watanabe T: Effect of spatial distance to the task stimulus on task-irrelevant perceptual learning of static gabors. Journal of Vision, 13(2), 1-10 (2007)
[152]
Oztop
E, Imamizu H, Cheng G, Kawato
M: A computational model of anterior intraparietal (AIP) neurons. Neurocomputing, 69, 1354-1361 (2007) .
[151] Imamizu H, Sugimoto N, Osu R, Tsutsui K, Sugiyama K, Wada Y, Kawato M: Explicit contextual information selectively contributes to predictive switching of internal models. Experimental Brain Research, 181, 395-408 (2007)
[150] Franklin D, Liaw G, Milner T, Osu R, Burdet E, Kawato M: End-point stiffness of the arm is directionally tuned to instability in the environment. Journal of Neuroscience, 27(29), 7705-7716 (2007)
[149] Tanaka K, Khiroug L, Santamaria F, Doi T, Ogasawara H, Ellis-Davies G, Kawato M, Augustine GJ: Ca2+ requirements for cerebellar long-term synaptic depression: role for a postsynaptic leaky integrator. Neuron, 54, 787-800 (2007)
[148] Chaminade T, Hodgins J, Kawato M: Anthropomorphism influences perception of computer-animated characters' actions. Social Cognitive and Affective Neuroscience, 2(3), 206-216 (2007)
[147]
Higuchi
S, Imamizu H, Kawato M: Cerebellar
activity evoked by common tool-use
execution and imagery tasks: an fMRI study. Cortex, 3, 350-358 (2007)
.
[146] Imamizu H, Higuchi S, Toda A, Kawato M:
Reorganization
of brain activity for multiple internal models after short but
intensive training. Cortex,
3, 338-349 (2007).
[145] Milner TE, Franklin D, Imamizu H, Kawato M: Central control of grasp: manipulation of objects with simple and complex dynamics, NeuroImage, 36, 388-395 (2007)
[144] Yamamoto K, Kawato M, Kotoaska S, Kitazawa S: Encoding of movement dynamics by Purkinje cell simple spike activity during fast arm movements under resistive and assistive force fields. Journal of Neurophysiology, 97, 1588-1599 (2007)
[143] Kawato M, Samejima K: Efficient reinforcement learning: computational theories, neuroscience and robotics. Current Opinion in Neurobiology, 17, 205-212 (2007)
[142]
Ganesh
G. Franklin D, Gassert
R, Imamizu H, Kawato M: Accurate
real-time feedback of surface EMG
during fMRI, Journal
of Neurophysiology,
97, 912-920 (2007)
[141]
Ogasawara H, Doi T, Doya K,
Kawato M: Nitric oxide regulates input
specificity of long-term depression and context dependence of
cerebellar learning. PLoS
Computational Biology, 3,
e179 (2007)
[140]
Samejima K, Katagiri K, Doya K, Kawato M: Sybolization and imitation
learning of motion sequence using competitive modules. Electronics and Communication in Japan,
Part III, 89(9), 42-53 (2006)
[139] Bursztyn LCD, Ganesh G, Imamizu H, Kawato M, Flanagan R: Neural correlates of internal model loading. Current Biology, 16, 2440-2445 (2006)
[138]
Haruno M, Kawato M:
Heterarchical
reinforcement-learning model for integration of multiple
cortico-striatal loops; fMRI examination in stimulus-action-reward
association learning. Neural Networks,
19,
1242–1254
(2006)
.
[137] Oztop E, Kawato M, Arbib M: Mirror neurons and imitation: a computationally guided review. Neural Networks, 19, 254–271 (2006) .
[136] Kawawaki D, Shibata T, Goda N, Doya K, Kawato M: Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit. Neuroscience Research, 54, 112–123 (2006) .
[135] Haruno M, Kawato M: Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning. Journal of Neurophysiology, 95, 948-959 (2006).
[134] Burdet E, Tee KP, Mareels I, Milner TE, Chew CM, Franklin DW, Osu R, Kawato M: Stability and motor adaptation in human arm movements. Biological Cybernetics, 94, 20-32 (2006) .
[133] Milner T, Franklin DW, Imamizu H, Kawato M: Central representation of dynamics when manipulating handheld objects. Journal of Neurophysiology, 95, 893-901 (2006).
[132] Hu Y, Osu R, Okada M, Goodale MA, Kawato M: A model of the coupling between grip aperture and hand transport during human prehension. Experimental Brain Research, 167, 301-304 (2005) .
[131] Yamagishi N, Goda N, Callan DE, Anderson SJ, Kawato M: Attentional shifts towards an expected visual target alter the level of alpha-band oscillatory activity in the human calcarine cortex. Cognitive Brain Research, 25, 799-809 (2005) .
[130] Seitz A, Yamagishi N, Werner B, Goda N, Kawato M, Watanabe T: The disruption and consolidation of visual learning. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 102, 14895-14900 (2005) .
[129] Kaneko Y, Nakano E, Osu R, Wada Y, Kawato M: Trajectory formation based on the minimum commanded torque change model using the euler–poisson equation. Systems and Computers in Japan, 36, 92-103 (2005)
[128] Shibata T, Tabata T, Schaal S, and Kawato M: A model of smooth pursuit in primates based on learning the target dynamics. Neural Networks, 18, 213-224 (2005).
[127] Doi T, Kuroda S, Michikawa T, Kawato M: Insoitol, 1, 4, 5-trisphosphate-dependent Ca2+ threshold dynamics detect spike timing in cerebellar Purkinje Cells. Journal of Neuroscience, 25, 950-961 (2005).
[126] Oztop
E, Wolpert DM, Kawato M: Mental state
inference using visual control
parameters. Cognitive Brain
Research, 22, 129-151 (2005).
[125] Schultz J, Imamizu H, Kawato M, Frith CD: Activation of the human superior temporal gyrus during observation of goal attribution by intentional objects. Journal of Cognitive Neuroscience, 16, 1695-1705 (2004).
[124]
Sato
M, Yoshioka T, Kajiwara S, Toyama K, Goda N, Doya K, Kawato M:
Hierarchical bayesian estimation for MEG inverse problem. NeuroImage,
23, 806-826 (2004).
[123] Miyamoto H, Nakano E, Wolpert DM, Kawato M: TOPS (Task Optimization in the Presence of Signal-dependent noise) model. Systems and Computers in Japan, 35, 48-58 (2004). (Translated from Denshi Tsushin Gakkai Ronbunshi, J85-D-II, 940-949)
[122] Caithness G, Osu R, Bays P, Chase H, Klassen J, Kawato M, Wolpert DM, Flanagan RJ: Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks. Journal of Neuroscience. 24, 8662-8671 (2004).
[121] Franklin
D, So U, Kawato M, Milner TE: Impedance
control balances stability with
metabolically costly muscle activation. Journal
of
Neurophysiology, 92,
3097-3105 (2004).
[120]
Schaal S, Sternad D, Osu R, Kawato
M: Rhythmic
arm movement is not discrete. Nature
Neuroscience, 7, 1137-1144 (2004). (c) 2004 Nature
Publishing Group.
(News and Views Miall RC, Ivry R: Moving to
a different beat. Nature
Neuroscience, 7,
1025-1026 (2004).)
[119] Osu
R, Kamimura N, Iwasaki H, Nakano E, Harris CM, Wada Y, Kawato M: Optimal
impedance control for task achievement in the presence of
signal-dependent
noise. Journal
of Neurophysiology, 92, 1199-1215 (2004).
[118] Nakanishi J, Morimoto J, Endo G, Cheng G, Schaal S, Kawato M: Learning from demonstration and adaptation of biped locomotion. Robotics and Autonomous Systems, 47, 79-91 (2004).
[117] Wada Y, Kawato M: A via-point time optimization algorithm for complex sequential trajectory formation. Neural Networks, 17, 353-364 (2004).
[116] Miyamoto H, Morimoto J, Doya K, Kawato M: Reinforcement learning with via-point representation. Neural Networks, 17, 299-305 (2004).
[115] Schweighofer N, Doya K,
H. Fukai, Chiron JV, Furukawa T, Kawato. M: Chaos may enhance
information transmission in the inferior olive. Proc Natl Acad Sci USA., 101, 4655-4660 (2004).
[114] Taguchi S, Tabata H, Shibata T, Kawato M: Transformation from population codes to firing rate codes by learning: Neural representation of smooth pursuit eye movements. Systems and Computers in Japan, 35, 79-88 (2004).
[113] Haruno M, Kuroda T, Doya K, Toyama K, Kimura M, Samejima K, Imamizu H, Kawato M: A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task. Journal of Neuroscience, 24, 1660-1665 (2004).
[112] Nishina S, Kawato M: A computational model of spatio-temporal dynamics in depth filling-in. Neural Networks, 17, 159-163 (2004).
[111]
Imamizu H, Kuroda T, Yoshioka T, Kawato M: Functional
magnetic resonance imaging examination of two modular architectures for
switching multiple internal models. Journal of Neuroscience,
24, 1173-1181(2004).
[110] Osu R, Hirai S, Yoshioka
T, Kawato M: Random
presentation enables subjects to adapt to two opposing forces on the
hand. Nature Neuroscience, 7, 111-112 (2004). (c)
Nature Publishing Group
[109] Okada
M, Nishina S, Kawato M: The neural
computation of the aperture problem: an iterative process. NeuroReport, 14, 1767-1771
(2003).
[108] Osu
R, Burdet E, Franklin DW, Milner TE, Kawato M: Different mechanisms
involved in adaptation to stable and unstable
dynamics. Journal
of Neurophysiology, 90, 3255-3269 (2003).
[107] Franklin
DW, Osu R, Burdet E, Kawato M, Milner TE: Adaptation to stable and
unstable dynamics achieved by combined
impedance control and inverse dynamics model. Journal of
Neurophysiology, 90, 3270-3282 (2003).
[106] Yamagishi
N, Callan DE, Goda N, Anderson SJ, Yoshida Y, Kawato M: Attentional
modulation of oscillatory activity in human visual cortex. NeuroImage, 20, 98-113 (2003).
[105] Nishina S, Okada M,
Kawato M:
Spatio-temporal dynamics of depth propagation on uniform region. Vision Research, 43, 2493-2503 (2003).
[104]
Samejima K, Doya K, Kawato M: Inter-module
credit assignment in modular reinforcement learning. Neural
Networks, 16,
985-994 (2003).
[103] Yamanaka K, Wada Y, Kawato M:
Quantitative exmaninations for human arm tracjectory planning in
three-dimensional space. Systems and
Computers in Japan, 34,
43-54 (2003)
[102] Wada Y, Kawabata Y, Kotosaka S,
Yamamoto S, Kitazawa S, Kawato M: Acquisition and contextual switching
of multiple internal models for different viscous force fields. Neurroscience Research, 46, 319-331 (2003).
[101] Kawato
M, Kuroda T, Imamizu H, Nakano E, Miyauchi S, Yoshioka T: Internal
forward models in the cerebellum: fMRI study on grip force and load
force
coupling. Progress in Brain
Research,
142, 171-188
(2003).
[100] Franklin
DW, Burdet E, Osu R, Kawato M, Milner TE: Functional
significance of stiffness in adaptation of multijoint arm movements to
stable
and unstable dynamics. Experimental
Brain Research, 151, 145-157
(2003).
[99] Wolpert DM, Doya K,
Kawato M: A unifying computational
framework for motor control and social interaction. Philosophical
Transactions of The Royal Society:
Biological
Sciences, 358,
593-602 (2003).
[98] Imamizu
H, Kuroda T, Miyauchi S, Yoshioka T, Kawato M: Modular
organization of internal models of tools in the human cerebellum. Proc Natl Acad Sci USA.,
100, 5461-5466 (2003).
[97]
Yamamoto K, Kobayashi Y, Takemura A, Kawano K, Kawato M:
Cerebellar
plasticity and the ocular following response. Annals of the New
York
Academy of Sciences, 978,
439-454 (2002)
[96] Osu
R, Franklin DW, Kato H, Gomi H, Domen K, Yoshioka T, Kawato M: Short- and
long-term changes in joint co-contraction associated with motor
learning as
revealed from surface EMG. Journal
of Neurophysiology, 88, 991-1004
(2002)
[95] Servos P, Osu R, Santi A,
Kawato M: The neural
substrates of biological motion perception: an fMRI study. Cerebral Cortex,
12,
772-782 (2002)
[94] Doya K, Samejima K,
Katagiri K, Kawato M: Multiple model-based reinforcement learning. Neural
Computation, 14, 1347-1369 (2002)
[93]
Tabata H, Yamamoto K, Kawato M: Computational
study on monkey VOR adaptation and smooth pursuit based on the parallel
control-pathway theory. Journal
of Neurophysiology, 87, 2176-2189
(2002).
(c) The American Physiological Society.
[92] Yamamoto K, Kobayashi Y,
Takemura A, Kawano K, Kawato M: Computational
studies on acquisition and adaptation of ocular following responses
based on
cerebellar synaptic plasticity. Journal of
Neurophysiology, 87, 1554-1571
(2002). (c) The American Physiological Society.
[91] Yoshida N, Domen K, Koike
Y, Kawato M: A method
for estimating torque-vector directions of shoulder muscles using
surface EMGs. Biological
Cybernetics, 86
167-177 (2002). (c) Springer-Verlag 2002.
[90] Nakano E, Flanagan J, Imamizu
H, Osu R,
Yoshioka T, Kawato M: Composition and
decomposition learning of
reaching movements under altered environments: An examination of the
multiplicity of internal models. Systems
and Computers in Japan, 33,
80-94 (2002)
[89] Burdet E, Osu R, Franklin
D, Milner T, Kawato M: The central nervous
system stabilizes unstable dynamics by learning optimal impedance. Nature, 414
446-449 (2001).
(c) Macmillan Magazines Ltd.
[88]Takemura A, Inoue Y, Gomi
H, Kawato M, Kawano K: Change in
neuronal firing patterns in the process of motor command generation for
the
ocular following response. Journal
of Neurophysiology, 86 1750-1763
(2001).
(c) The American Physiological Society.
[87] Haruno M, Wolpert DM,
Kawato M: MOSAIC model for sensorimotor learning and control. Neural
Computation, 13 2201-2220
(2001).
[86] Doya K, Kimura H, Kawato
M: Neural mechanisms of learning and control. IEEE Control Systems
Magazine, 21 42-54 (2001).
[85] Kuroda S, Schweighofer N,
Kawato M: Exploration
of signal transduction pathways in cerebellar long-term depression by
kinetic
simulation. Journal
of Neuroscience, 21, 5693-5702
(2001). (c)
2001 Society for Neuroscience.
[84] Wada Y, Kaneko Y, Nakano E,
Osu R, Kawato M: Quantitative
examinations for multi joint arm trajectory planning -- using a robust
calculation algorithm of the minimum commanded torque change trajectory
--. Neural Networks, 14, 381-393
(2001). (c) Elsevier.
[83] Kuroda S, Yamamoto K,
Miyamoto H, Doya K, Kawato M: Statistical
characteristics of climbing fiber spikes necessary for efficient
cerebellar
learning. Biological
Cybernetics, 84, 183-192 (2001).
(c)
Springer-Verlag. The original publication is available on LINK http://link.springer.de.
[82] Yamamoto K, Kobayashi Y,
Takemura A, Kawano K, Kawato M: A
mathematical analysis of the characteristics of the system connecting
the
cerebellar ventral paraflocculus and extraoculomotor nucleus of alert
monkeys
during upward ocular following responses. Neuroscience Research,
38,
425-435 (2000). (c) Elsevier.
[81] Omata T, Kitama T,
Mizukosh A, Ueno T, Kawato M, Sato Y: Purkinje cell activity in the
middle zone
of the cerebellar flocculus during optokinetic and vestibular eye
movement in
cats. The Japanese Journal of Physiology, 50, 357-370 (2000).
[80] Burdet E, Osu R, Franklin
D, Milner TE, Kawato M: A method for
measuring endpoint stiffness during multi-joint arm movements. Journal of
Biomechanics, 33, 1705-1709
(2000). (c) Elsevier Science Ltd.
[79] Atkeson CG, Hale J,
Pollick F, Riley M, Kotosaka S, Schaal S, Shibata T, Tevatia G,
Vijayakumar S,
Ude A, Kawato M: Using
humanoid robots to study human behavior. IEEE Intelligent
Systems: Special Issue on Humanoid
Robotics,
15, 46-56 (2000). (c) IEEE.
[78] Mizukoshi A, Kitama T,
Omata T, Ueno T, Kawato M, Sato U: Motor dynamics
encoding in the rostral zone of the cat cerebellar flocculus during
vertical
optokinetic eye movements. Experimental
Brain Research, 132, 260-268
(2000). (c)
Springer-Verlag. The original publication is available on LINK http://link.springer.de.
[77] Imamizu H, Miyauchi S,
Tamada T, Sasaki Y, Takino R, Puetz B, Yoshioka T, Kawato M: Human
cerebellar activity reflecting an acquired internal model of a new tool. Nature, 403,
192-195
(2000). (c) Macmillan Magazines Ltd.
[76] Kawato M: Internal
models for motor control and trajectory planning. Current Opinion in
Neurobiology, 9, 718-727 (1999).
(c) Elsevier Science Ltd.
[75] Watanabe H, Pollick F,
Koenderink JJ, Kawato M: Using motor tasks to quantitatively judge 3-D
surface
curvatures. Perception & Psychophysics, 61, 1116-1139 (1999).
[74] Flanagan RJ, Nakano E,
Imamizu H, Osu R, Yoshioka T, Kawato M: Composition
and decomposition of internal models in motor learning under altered
kinematic
and dynamic environments. Journal
of Neuroscience, 19, RC34 1-5
(1999). (c)
Society for Neuroscience.
[73] Schweighofer N, Doya K,
Kawato M: Electrophysiological
propersties of infereor olive neurons: A compartmental model. Journal
of Neurophysiology, 82, 804-817
(1999). (c)
The American Physiological Society.
[72] Nakano E, Imamizu H, Osu
R, Uno Y, Gomi H, Yoshioka T, Kawato M: Quantitative
examinations of internal representations for arm trajectory planning:
Minimum
commanded torque change model. Journal of Neurophysiology, 81, 2140-2155 (1999). (c) The American Physiological
Society.
[71] Tamada T, Miyauchi S,
Imamizu H, Yoshioka T, Kawato M: Cerebro-cerebellar
functional connectivity revealed by the laterality index in tool-use
learning. NeuroReport, 10, 325-331
(1999). (c) Lippincott Williams and Wilkins.
[70] Wolpert D, Kawato M: Multiple paired
forward and inverse models for motor control. Neural Networks, 11,
1317-1329 (1998). (c) Elsevier Science Ltd.
[69] Miyamoto H, Kawato M: A tennis
serve and upswing learning robot based on bi-directional theory. Neural Networks, 11,
1331-1344 (1998). (c) Elsevier Science Ltd.
[68] Wolpert D, Miall C,
Kawato M: Internal
models in the cerebellum. Trends
in Cognitive Sciences, 2, 338-347
(1998).
(c) Elsevier Science Ltd.
[67] Gomi H, Shidara M.
Takemura A, Inoue Y, Kawano K, Kawato M: Temporal firing patterns of
Purkinje cells in the cerebellar ventral
paraflocculus during ocular following responses in Monkeys. I.simple
spikes. Journal of
Neurophysiology, 80, 818-831
(1998). (c) The American Physiological Society.
[66] Kobayashi Y, Kawano K,
Takemura A, Inoue Y, Kitama T, Gomi H, Kawato M: Temporal firing patterns of
Purkinje cells in the cerebellar ventral
paraflocculus during ocular following responses in Monkeys. II.complex
spikes. Journal of
Neurophysiology, 80, 832-848
(1998). (c) The American Physiological Society.
[65] Imamizu H, Uno Y, Kawato
M: Adaptive internal model of intrinsic
kinematics involved in learning
an aiming task. Journal
of Experimental Psychology: Human Perception and Performance, 24, 812-829 (1998). (c) The American Psychological
Association. Inc.
[64] Schweighofer N,
Arbib MA,
Kawato M: Role of the cerebellum in reaching movements in humans. I.
Distributed inverse dynamics control. European Journal of
Neuroscience,
10, 86-94 (1998).
[63] Schweighofer N,
Spoelstra
J, Arbib MA, Kawato M: Role of the cerebellum in reaching movements in
humans.
II. A neural model of the intermediate cerebellum. European
Journal of
Neuroscience, 10, 95-105 (1998).
[62] Yamamoto K,
Kobayashi Y,
Takemura A, Kawano K, Kawato M: A mathematical model that reproduces
vertical
ocular following responses from visual stimuli by reproducing the
simple spike
firing frequency of Purkinje cells in the cerebellum. Neuroscience
Research,
29, 161-169 (1997).
[61] Koenderink JJ,
Kappers A,
Pollick F, Kawato M: Correspondence in pictorial space. Perception
&
Psychophysics, 59, 813-827
(1997).
[60] Osu R, Uno Y,
Koike Y,
Kawato M: Possible explanations for trajectory curvature in multijoint
arm
movements. Journal of Experimental Psychology: Human Perception
and
Performance, 23, 890-913 (1997).
[59] Gomi H, Kawato M:
Human arm
stiffness and equilibrium-point trajectory during multi-joint movement.
Biological
Cybernetics, 76, 163-171 (1997).
[58] Kawano K, Shidara
M,
Takemura A, Inoue Y, Gomi H, Kawato M: Inverse-dynamics representation
of eye
movements by cerebellar Purkinje cell activity during short-latency
ocular-following responses. New York Academy of Sciences, 781, 314-321 (1996).
[57] Kawato M: The
common
inverse-dynamics motor-command coordinates for complex and simple
spikes. Behavioral
and Brain Sciences, 19, 462-464
(1996).
[56] Miyamoto H,
Schaal S,
Gandolfo F, Gomi H, Koike Y, Osu R, Nakano E, Wada Y, Kawato M: A
Kendama
learning robot based on dynamic optimization theory. Neural
Networks, 9, 1281-1302 (1996).
[55] Gomi H, Kawato M:
Equilibrium-point control hypothesis examined by measured arm-stiffness
during
multijoint movement. Science, 272,
117-120 (1996).
[54] Dornay M, Uno Y,
Kawato M,
Suzuki R: Minimum muscle-tension change trajectories predicted by using
a
17-muscle model of the monkey's arm. Journal of Motor Behavior,
28, 83-100 (1996).
[53] Pollick FE,
Watanabe H,
Kawato M: Perception of local orientation from shaded images. Perception
and Psychophysics, 58, 762-780
(1996).
[52] Wada Y, Kawato M:
A theory
for cursive handwriting based on the minimization principle. Biological
Cybernetics, 73, 3-13 (1995).
[51] Wada Y, Koike Y,
EV
Bateson, Kawato M: A computational theory for movement pattern
recognition
based on optimal movement pattern generation. Biological
Cybernetics, 73, 15-25 (1995).
[50] Koike Y, Kawato
M:
Estimation of dynamic joint torques and trajectory formation from
surface
electromyography signals using a neural network model. Biological
Cybernetics, 73, 291-300 (1995).
[49] Imamizu H, Uno Y,
Kawato M:
Internal representations of motor apparatus: Implications from
generalization
in visuomotor learning. Journal of Experimental Psychology: Human
Perception and Performance, 21,
1174-1198
(1995).
[48] Uno Y, Fukumura
N, Suzuki
R, Kawato M: A computational model for recognizing objects and planning
hand
shapes in grasping movements. Neural Networks, 8, 839-851 (1995).
[47] Hayakawa H, Wada
Y, Kawato
M: Solution of nonlinear vision problem based on forward and
approximated
inverse optics models. Electronics and Communications in Japan,
78, 22-33 (1995).
[46] Koike Y, Kawato
M:
Estimation of arm posture in 3D-space from surface EMG signals using a
neural
network model. IEICE Transactions on Information and Systems, E77-D, 368-375 (1994).
[45] Pollick FE,
Nishida S,
Koike Y, Kawato M: Perceived motion in structure from motion. Pointing
responses to the axis of rotation. Perception and Psychophysics,
56, 91-109. (1994).
[44] Hayakawa H,
Nishida S, Wada
Y, Kawato M: A computational model for shape estimation by integration
of
shading and edge information. Neural Networks, 7, 1193-1209 (1994).
[43] Wada Y, Kawato M:
Arm
movement trajectory formation by a neural network incorporating models
of
forward and inverse dynamics. Systems and Computers in Japan, 24, 64-77 (1993).
[42] Kawato M, Gomi H:
Computational models of cerebellar motor learning. Trends in
Neurosciences,
16, 177-178 (1993).
[41] Gomi H, Kawato M:
Recognition of manipulated objects by motor learning with modular
architecture
networks. Neural Networks, 6,
485-497
(1993).
[40] Kawato M:
Computational
studies of coordinated arm movements. Biomedical Research, 14, 55-57 (1993).
[39] Shidara M, Kawano
K, Gomi
H, Kawato M: Inverse-dynamics
model eye movement control by Purkinje
cells in
the cerebellum. Nature, 365,
50-52
(1993).
[38] Wada Y, Kawato M:
A neural
network model for arm trajectory formation using forward and inverse
dynamics
models. Neural Networks, 6,
919-932
(1993).
[37] Gomi H, Kawato M:
Neural
network control for a closed-loop system using feedback-error-learning.
Neural
Networks, 6, 933-946 (1993).
[36] Hirayama M,
Kawato M,
Jordan MI: The cascade neural network model and a speed-accuracy
trade-off of
arm movement. Journal of Motor Behavior, 25, 162-174 (1993).
[35] Katayama M,
Kawato M:
Virtual trajectory and stiffness ellipse during multijoint arm movement
predicted by neural inverse models. Biological Cybernetics, 69, 353-362 (1993).
[34] Kawato M,
Hayakawa H, Inui
T: A forward-inverse optics model of reciprocal connections between
visual
cortical areas. Network:Computation in Neural systems, 4, 415-422 (1993).
[33] Hirayama M,
Bateson EV,
Kawato M: Physiologically-based speech synthesis using neural networks.
IEICE
Transactions on Information and Systems, E76-A, 1898-1910 (1993).
[32] Hongo S, Kawato
M, Inui T,
Miyake S: Contour extraction by local parallel and stochastic algorithm
which
has energy learning faculty. Systems and Computers in Japan, 23, 26-35 (1992).
[31] Wada Y, Kawato M:
A new
information criterion combined with cross-validation method to estimate
generalization capability. Systems and Computers in Japan, 23, 92-104 (1992).
[30] Kawato M, Gomi H:
The
cerebellum and VOR/OKR learning models. Trends in Neurosciences,
15, 445-453 (1992).
[29] Kawato M, Gomi H:
A
computational model of four regions of the cerebellum based on
feedback-error-learning. Biological Cybernetics, 68, 95-103 (1992).
[28] Gomi H, Kawato M:
Adaptive
feedback control models of the vestibulocerebellum and spinocerebellum.
Biological
Cybernetics, 68, 105-114 (1992).
[27] Katayama M,
Kawato M: A
parallel-hierarchical neural network model for motor control of
musculo-skeletal
system. Systems and Computers in Japan, 22, 95-105 (1991).
[26] Irie B, Kawato M:
Acquisition of internal representation by multilayered perceptrons. Electronics
and Communications in Japan, 74,
112-118
(1991).
[25] Kawato M, Maeda
Y, Uno Y, Suzuki
R: Trajectory formation of arm movement by cascade neural network model
based
on minimum torque-change criterion. Biological Cybernetics, 62, 275-288 (1990).
[24] Kawato M:
Adaptation and
learning in control of voluntary movement by the central nervous
system. Advanced
Robotics 3, 229-249 (1989).
[23] Uno Y, Kawato M,
Suzuki R:
Formation and control of optimal trajectory in human multijoint arm
movement -
minimum torque-change model-. Biological Cybernetics, 61, 89-101 (1989).
[22] Kawato M, Uno Y,
Isobe M,
Suzuki R: Hierarchical neural network model for voluntary movement with
application to robotics. IEEE Control Systems Magazine, 8, 8-16 (1988).
[21] Miyamoto H,
Kawato M,
Setoyama T, Suzuki R: Feedback-error-learning neural network for
trajectory control
of a robotic manipulator. Neural Networks, 1, 251-265 (1988).
[20] Kawato M, Isobe
M, Maeda Y,
Suzuki R: Coordinates transformation and learning control for
visually-guided
voluntary movement with iteration: a Newton-like method in a function
space. Biological
Cybernetics, 59, 161-177 (1988).
[19] Urushibara S,
Kawato M,
Nakazawa K, Suzuki R: Simulation analysis of conduction of excitation
in the
atrioventricular node. Journal of Theoretical Biology, 126, 275-288 (1987).
[18] Kawato M,
Furukawa K, Suzuki
R: A hierarchical neural-network model for control and learning of
voluntary
movement. Biological Cybernetics, 57,
169-185 (1987).
[17] Murakami F, Etoh
M, Kawato
M, Oda Y, Tsukahara N: Synaptic currents at interpositorubral and
corticorubral
excitatory synapses measured by a new iterative single electrode
voltage-clamp
method. Neuroscience Research, 3,
590-605 (1986).
[16] Kawato M,
Yamanaka A,
Urushibara S, Nagata O, Irisawa H, Suzuki R: Simulation analysis of
excitation
conduction in the heart: Propagation of excitation in different
tissues. Journal
of Theoretical Biology, 120,
389-409 (1986).
[15] Yamanaka A,
Okazaki K,
Urushibara S, Kawato M, Suzuki R: Reconstruction of electrocardiogram
using
ionic current models for heart muscles. Japanese Heart Journal,
27, 185-193 (1986).
[14] Kawato M, Etoh M,
Oda Y,
Tsukahara N: A new algorithm for voltage clamp by iteration: A learning
control
of a nonlinear neuronal system. Biological Cybernetics, 53, 57-66 (1985).
[13] Kawato M,
Tsukahara N:
Electrical properties of dendritic spines with bulbous end terminals. Biophysical
Journal, 46, 155-166 (1984).
[12] Kawato M,
Hamaguchi T,
Murakami F, Tsukahara N: Quantitative analysis of electrical properties
of
dendritic spines. Biological Cybernetics, 50, 447-454 (1984).
[11] Kawato M: Cable
properties
of a neuron model with non-uniform membrane resistivity. Journal
of
Theoretical Biology, 111, 149-169
(1984).
[10] Kawato M,
Tsukahara N:
Theoretical study on electrical properties of dendritic spines. Journal
of
Theoretical Biology, 103, 507-522
(1983).
[9] Kawato M, Fujita
K, Suzuki
R, Winfree AT: A three-oscillator model of the human circadian system
controlling the core temperature rhythm and the sleep-wake cycle. Journal
of Theoretical Biology, 98,
369-392 (1982).
[8] Kawato M:
Transient and
steady state phase response curves of limit cycle oscillators. Journal
of
Mathematical Biology, 12, 13-30
(1981).
[7] Kawato M, Suzuki
R: Analysis
of entrainment of circadian oscillators by skeleton photoperiods using
phase
transition curves. Biological Cybernetics, 40, 139-149 (1981).
[6] Kawato M, Suzuki
R: Two
coupled neural oscillators as a model of the circadian pacemaker. Journal
of Theoretical Biology, 86,
547-575 (1980).
[5] Yamanishi J,
Kawato M,
Suzuki R: Two coupled oscillators as a model for the coordinated finger
tapping
by both hands. Biological Cybernetics, 37, 219-225 (1980).
[4] Yamanishi J,
Kawato M,
Suzuki R: Studies on human finger tapping neural networks by phase
transition
curves. Biological Cybernetics, 33, 199-208
(1979).
[3] Kawato M, Sokabe
M, Suzuki
R: Synergism and antagonism of neurons caused by an electrical synapse.
Biological
Cybernetics, 34, 81-89 (1979).
[2] Inui T, Kawato M,
Suzuki R:
The mechanism of mental scanning in foveal vision. Biological
Cybernetics,
30, 147-155 (1978).
[1] Kawato M, Suzuki
R:
Biological oscillators can be stopped -Topological study of a phase
response
curve. Biological Cybernetics, 30,
241-248 (1978).