[53] Koizumi A & Kawato M: Implicit decoded neurofeedback training as a clinical tool, In Hampson M (eds), FMRI Neurofeedback, Elsevier Ltd., 2021

[52] Taylor JE, Jalon I, Chiba T, Motegi T, Kawato M & Hendler T: Translation to the clinic and other modalities, In Hampson M (eds), FMRI Neurofeedback, Elsevier Ltd., 2021

[51] Kawato M: Brain Machine Interface and Neuroimaging,  In Jaeger D, Jung R, Encyclopedia of Computational Neuroscience, pp.441-443, Springer, 2015

[50] Kawato M: Cerebellum: Models, Reference Module in Biomedical Sciences, http://dx.doi.org/10.1016/B978-0-12-801238-3.04545-1, Elsevier Ltd., 2014

[49] Hirata M, Yanagisawa T, Matsushita K, Sugata H, Kamitani Y, Suzuki T, Yokoi H, Goto T, Shayne M, Saito Y, Kishima H, Kawato M, Yoshimine T: Brain-Machine Interface Using Brain Surface Electrodes: Real-Time Robotic Control and a Fully Implantable Wireless System, Biomedical Engineering and Cognitive Neuroscience for Healthcare; Interdisciplinary Applications, IGI GLOBAL, USA, to be released, 2012�@�@�@ �@

[48] Chaminade T, Kawato M: Mutual benefits of using humanoid robots, Handbook of Social Neuroscience, Oxford University Press, USA, to be released, 2011

[47] Oztop E, Kawato M: Models for the control of grasping, In: Nowak D, Hermsdoerfer J (eds.), Sensorimotor Control of Grasping : Physiology and Pathophysiology, Cambridge University Press, 2009

[46] Ogasawara H, Kawato M: Computational models ofcerebellar long-term memory. Systems Biology. In: Nakanishi S, Kageyama R, Watanabe D(eds.) pp.169 -182. Springer, 2009

[45] Kawato M: Reinforcement models. In Squire LR (ed.) Encyclopedia of Neuroscience, 8, pp.89-97. Oxford: Academic Press. Elsevier Ltd., 2009

[44] Kawato M: Cerebellum: models. In Squire LR (ed.) Encyclopedia of Neuroscience, 2, pp.757-767. Oxford: Academic Press. Elsevier Ltd., 2009

[43] Tanaka H, Kawato M: Theories on motor learning. Encyclopedia of Neuroscience, part20, pp4056-4060. Springer-Verlag, Germany, 2008

[42] Oztop E, Babic J, Hale J, Cheng G, Kawato M: From biologically realistic imitation to robot teaching via human motor learning. Neural Information Processing, 4985, 214-221, 2008

[41] In Haggard P, Rossetti Y, Kawato M (Eds.) Sensorimotor foundations of higher cognition, Attention and Performance, XXII, Oxford University Press, UK,pp.1-659, 2008

[40] Ting J, D'Souza A, Yamamoto K, Yoshioka T, Hoffman D, Kakei S, Sergio L, Kalaska J, Kawato M, Strick P, Schaal S: Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares,  In: Weiss Y, Schokopf B, Platt J (eds.), Advances in Neural Information Processing Systems 18, Cambridge, MA: MIT Press, pp.1361-1368, 2005

[39] Wolpert DM, Doya K, Kawato M: A unifying computational framework for motor control and social interaction. In Frith C, Wolpert DM (Eds.) The Neuroscience of Social Interaction. Oxford University Press, Oxford, UK,pp.305-322, 2004.

[38] Haruno M, Wolpert D, Kawato M: Hierarchical MOSAIC for movement generation. In Ono T, Matsumoto G, Llinas RR, Berthoz A, Norgren R, Nishijo H, Tamura R (Eds.) Excepta Medica International Coungress Series. 1250 Elsevier Science B.V., Amsterdam, The Netherlands,pp.575-590,2003.

[37] 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. In Prablanc C, Pelisson D, Rossetti Y (Eds.) Progress in Brain Research.142 "Neural Control of Space Coding and Action Production". Elsevier, Amsterdam. The Netherlands,pp.171-188,2003.

[36] Kawato M: Cerebellum and motor control. In Arbib M (Ed.) 2nd Edition of The Handbook of Brain Theory and Neural Networks. MIT Press, Cambridge, Massachusetts,pp.190-195,2002.

[35] Miyamoto H, Wolpert DM, Kawato M: Computing the optimal trajectory of arm movement: the TOPS(Task Optimization in the Presence of Signal-dependent nose) model. Duro RJ, Santos J, Grana M (Eds.) Studies in Fuzziness and Soft Computing. 109 Springer-Verlag,pp.395-415,2002.

[34] Munhall KG, Kawato M, Bateson EV: Coarticulation and physical models of speech production. Broe MB, Pierrehumbert JB (Eds.) Papers in Laboratory Phonology V: Acquisition and the Lexicon Cambridge University Press, Cambridge, U.S.A.,pp.9-28,2000.

[33] Kawato M: A bi-directional theory approach to prerational intelligence. Ritter H, Cruse H, Dean J (Eds.) Prerational Intelligence: Adaptive Behavior and Intelligent Systems without Symbols and Logic 2. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp.103-119,2000.

[32] Koike Y, Kawato M: Estimation of movement from surface EMG signals using a neural network model. Winters JM, Crago P (Eds.) Biomechanics and Neural Control of Posture and Movement Springer-Verlag, New York, U.S.A, pp.440-457,2000.

[31] Kawato M: Robotics as a tool for neuroscience: cerebellar internal models for robotics and cognition. Hollerbach MH, Koditschek DE (Eds.) Robotics Research, The Ninth International Symposium Springer-Verlag, London, pp.321-328,2000.

[30] Haruno M, Wolpert D, Kawato M: Multiple paired forward-inverse models for human motor learning and control. Advances in Neural Information Processing Systems. 11. MIT Press, Cambridge, Massachusetts,pp.31-37,1999.

[29] Kawato M, Wolpert D: Internal models for motor control. Glickstein M (Ed.) Sensory Guidance of Movement. John Wiley & Sons Ltd., Chichester, Sussex,pp.291-307,1998.

[28] Kawato M: Bidirectional theory approach to consciousness. Ito M, Miyashita Y, ET Rolls(Eds.) Cognition, Computation and Consciousness. Oxford University Press, Oxford,pp.223-248,1997.

[27] Kawato M: Internal models and thinking. Ito M(Ed.) Concept Formation, Thinking and Their Development. IIAS Reports 1997-004. IIAS, Kyoto,pp.67-83,1997.

[26] Kawato M: Trajectory formation in arm movements: minimization principles and procedures. In Zelaznik HN (Ed.) Advances in Motor Learning and Control. Human Kinetics Publishers, Chanpaign Illinois,pp.225-259,1996.

[25] Kawato M: Bi-directional theory approach to integration. In Inui T, McClelland J (Eds.) Attention and Performance, XVI. MIT Press, Cambridge, Massachusetts,pp.335-367,1996.

[24] Kawato M: Learning internal models of the motor apparatus. In Bloedel JR, Ebner TJ, Wise SP(Eds.) The Acquisition of Motor Behavior in Vertebrates. MIT Press, Cambridge, Massachusetts,pp.409-430,1996.

[23] Kawato M: A bi-directional theory approach to prerational intelligence. Proceedings of the Conference on Prerational Intelligence in Robotics: From Sensorimotor Intelligence to Collective Behavior. Universitat Bielefeld, Bielefeld,pp.71-83,1995.

[22] Kawato M: Celebellum and motor control. In Arbib M (Ed.) The Handbook of Brain Theory and Neural Networks. MIT Press, Cambridge, Massachusetts,pp.172-178,1995.

[21] Kawato M: Unidirectional versus bi-directional theory for trajectory planning and control. In Hida T (Ed.) Mathematical Approach To Fluctuations: Complexity and Nonlinearity 2. World Scientific Ltd, Singapore,pp.144-180,1995.

[20] Uno Y, Kawato M: Optimal control of reaching movement. In Bennett KMB, Castiello U (Ed.) Insights into the Reach to Grasp Movements. Elsevier, Amsterdam,pp.345-366,1994.

[19] Wada Y, Koike Y, Bateson EV, Kawato M: A computational model for cursive handwriting based on the minimization principle. In Hanson SJ (Eds.) Advances in Neural Information Processing Systems 6. Morgan Kaufmann, San Mateo,pp.727-734,1994.

[18] Hirayama M, Bateson EV, Kawato M: Inverse dynamics of speech motor control. In Hanson SJ (Eds.) Advances in Neural Information Processing Systems 6. Morgan Kaufmann, San Mateo,pp.1043-1050,1994.

[17] Kawato M, Gomi H: Feedback-error-learning model of cerebellar motor control. In Mano N (Ed.) Role of the Cerebellum and Basal Ganglia in Voluntary Movements. Elsevier Science Publishers, North-Holland,pp.51-61,1993.

[16] Uno Y, Fukumura N, Suzuki R, Kawato M: Integration of visual and somatosensory information for preshaping hand in grasping movements. In Hanson SJ (Eds.) Advances in Neural Information Processing Systems 5. Morgan Kaufmann, San Mateo,pp.311-318,1993.

[15] Hirayama M, Bateson EV, Honda K, Koike Y, Kawato M: Physiologically based speech synthesis. In Hanson SJ (Eds.) Advances in Neural Information Processing Systems 5. Morgan Kaufmann, San Mateo,pp.658-665,1993.

[14] Kawato M, Gomi H, Katayama M, Koike Y: Supervised learning for coordinative motor control. In Baum EB (Eds.) Computational Learning \& Cognition, SIAM Frontier Series. Society for Industrial and Applied Mathematics, Philadelphia,pp.126-161,1993.

[13] Optimization and learning in neural networks for formation and control of coordinated movement. In Meyer D, Kornblum S (Eds.) Attention and Performance, XIV. MIT Press, Cambridge, Massachusetts,pp.821-849,1992.

[12] Gomi H, Kawato M: Recognition of manipulated objects by motor learning. In Moody JE, Hanson SJ, Lippmann RP (Eds.) Advances in Neural Information Processing Systems 4. Morgan Kaufmann, San Mateo,pp.547-554,1992.

[11] Hirayama M, V-Bateson E, Kawato M, Jordan MI: Forward dynamics modeling of speech motor control using physiological data. In Moody JE, Hanson SJ, Lippmann RP (Eds.) Advances in Neural Information Processing Systems 4. Morgan Kaufmann, San Mateo,pp.191-198,1992.

[10] Dornay M, Uno Y, Kawato M, Suzuki R: Simulation of optimal movements using the minimum-muscle-tension-change model. In Moody JE, Hanson SJ and Lippmann RP (Eds.) Advances in Neural Information Processing Systems 4. Morgan Kaufmann, San Mateo,pp.627-634,1992.

[9] Katayama M, Kawato M: Learning trajectory and force control of an artificial muscle arm by parallel-hierarchical neural network model. In Lippmann RP, Moody JE, Touretzky DS (Eds.) Advances in Neural Information Processing Systems 3. Morgan Kaufmann, San Mateo,pp.436-442,1991.

[8] Kawato M: Feedback-error-learning neural network for supervised motor learning. In Eckmiller R (Ed.) Advanced Neural Computers. Elsevier, North-Holland,pp.365-372,1990.

[7] Kawato M: Computational schemes and neural network models for formation and control of multijoint arm trajectory. In Miller T, Sutton RS, Werbos PJ (Eds.) Neural Networks for Control. MIT Press, Cambridge, Massachusetts,pp.197-228,1990.

[6] Okamoto T, Kawato M, Inui T, Miyake S: Model based image compression and adaptive data representation by interacting filter banks. In Touretzky DS (Ed.) Advances in Neural Information Processing Systems 2. Morgan Kaufmann, San Mateo,pp.298-305,1990.

[5] Kawato M, Isobe M, Suzuki R: Hierarchical learning of voluntary movement by cerebellum and sensory association cortex. In Arbib MA, Amari S (Eds.) Dynamic Interaction in Neural Networks: Models and Data. Springer-Verlag, Berlin, Heidelberg, New York,pp.195-214,1989.

[4] Kawato M: Neural network models for formation and control of multijoint arm trajectory. In Ito M (Ed.) Neural Programming. Scientific Societies Press, Tokyo, Japan,pp.189-201,1989.

[3] Kawato M: Phase response curves of complex pacemaker. In Hiroshige T, Honma K (Eds.) Circadian Clocks and Zeitgevers. Hokkaido Univ Press, Sapporo,pp.118-129,1985.

[2] Tsukahara N, Kawato M: Dynamic and plastic properties of the brain stem neuronal networks as the possible neuronal basis of learning and memory. In Amari S,Arbib MA(Eds.) Lecture Notes in Biomathematics 45. Competition and Cooperation in Neural Nets. Springer-Verlag, Berlin, Heidelberg, New York,pp.430-441,1982.

[1] Suzuki R, Kawato M, Tatsumi H: Mathematical and phenomenological studies of biological rhythms. In Trappl R(Ed.) Cybernetics and Systems Research. North-Holland Publishing Company,pp.327-331,1982.