Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks
暂无分享,去创建一个
Eduardo Ros | Jesús Alberto Garrido | Richard R. Carrillo | Olivier J. M. D. Coenen | Niceto R. Luque | O. Coenen | E. Ros | N. Luque | J. Garrido | R. Carrillo
[1] Tadashi Yamazaki,et al. The cerebellum as a liquid state machine , 2007, Neural Networks.
[2] Wulfram Gerstner,et al. SPIKING NEURON MODELS Single Neurons , Populations , Plasticity , 2002 .
[3] Anthony G. Pipe,et al. Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach , 2007, IEEE Transactions on Neural Networks.
[4] P. Roland. Sensory feedback to the cerebral cortex during voluntary movement in man. , 1978 .
[5] A G Barto,et al. Prediction of complex two-dimensional trajectories by a cerebellar model of smooth pursuit eye movement. , 1997, Journal of neurophysiology.
[6] Hong Liu,et al. DLR-Hand II: next generation of a dextrous robot hand , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).
[7] Peter J. Gawthrop,et al. Neural networks for control systems - A survey , 1992, Autom..
[8] M. Kawato,et al. A hierarchical neural-network model for control and learning of voluntary movement , 2004, Biological Cybernetics.
[9] R. R. Llinás,et al. Inferior olive oscillation as the temporal basis for motricity and oscillatory reset as the basis for motor error correction , 2009, Neuroscience.
[10] Shaocheng Tong,et al. Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems , 2011, IEEE Transactions on Neural Networks.
[11] Nicholas T. Carnevale,et al. Simulation of networks of spiking neurons: A review of tools and strategies , 2006, Journal of Computational Neuroscience.
[12] Eduardo Ros,et al. Event-driven simulation of neural population synchronization facilitated by electrical coupling , 2007, Biosyst..
[13] J C Houk,et al. Fine structure of granular layer in turtle cerebellum with emphasis on large glomeruli. , 1974, Journal of neurophysiology.
[14] Eduardo Ros,et al. Real-time computing platform for spiking neurons (RT-spike) , 2006, IEEE Trans. Neural Networks.
[15] Masao Ito. Cerebellar circuitry as a neuronal machine , 2006, Progress in Neurobiology.
[16] Panos J. Antsaklis,et al. Neural networks for control systems , 1990, IEEE Trans. Neural Networks.
[17] J. Randall Flanagan,et al. Flexible Representations of Dynamics Are Used in Object Manipulation , 2008, Current Biology.
[18] Derek A. Linkens,et al. Learning systems in intelligent control: an appraisal of fuzzy, neural and genetic algorithm control applications , 1996 .
[19] 伊藤 正男. The cerebellum and neural control , 1984 .
[20] Eduardo Ros,et al. Real-Time Spiking Neural Network: An Adaptive Cerebellar Model , 2005, IWANN.
[21] Eduardo Ros,et al. A real-time spiking cerebellum model for learning robot control , 2008, Biosyst..
[22] Masao Ito,et al. Climbing fibre induced depression of both mossy fibre responsiveness and glutamate sensitivity of cerebellar Purkinje cells , 1982, The Journal of physiology.
[23] Angelo Arleo,et al. Modeling Synaptic Transmission and Quantifying Information Transfer in the Granular Layer of the Cerebellum , 2005, IWANN.
[24] E. D’Angelo,et al. Beyond parallel fiber LTD: the diversity of synaptic and non-synaptic plasticity in the cerebellum , 2001, Nature Neuroscience.
[25] E. Todorov. Optimality principles in sensorimotor control , 2004, Nature Neuroscience.
[26] D. Wolpert,et al. Internal models in the cerebellum , 1998, Trends in Cognitive Sciences.
[27] Eugene M. Izhikevich,et al. Simple model of spiking neurons , 2003, IEEE Trans. Neural Networks.
[28] Eduardo Ros,et al. Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics , 2006, Neural Computation.
[29] D. W. Joyce,et al. Kinematic cues in perceptual weight judgement and their origins in box lifting , 2007, Psychological research.
[30] J C Houk,et al. The role of the cerebellum in modulating voluntary limb movement commands. , 2002, Archives italiennes de biologie.
[31] Sridhar Mahadevan,et al. Recent Advances in Hierarchical Reinforcement Learning , 2003, Discret. Event Dyn. Syst..
[32] Hojjat Adeli,et al. Spiking Neural Networks , 2009, Int. J. Neural Syst..
[33] Heiko Hoffmann,et al. Sensor-assisted adaptive motor control under continuously varying context , 2007, ICINCO-ICSO.