Cerebellar input configuration toward object model abstraction in manipulation tasks

IEEE Transactions on Neural Networks

Volumn 22, Issue 8, 2011, Pages 1321-1328

  Luque, Niceto R ^a   Garrido, Jesus A ^a   Carrillo, Richard R ^b   Coenen, Olivier J M D ^c   Ros, Eduardo ^a  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF ALMERÍA   (Spain)

^c UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Adaptive; biological control system; cerebellum architecture; learning; robot; spiking neuron

Indexed keywords

ABSTRACTING; ADAPTIVE CONTROL SYSTEMS; ROBOTS;

ACCURATE CORRECTION; ADAPTIVE; BIOLOGICAL CONTROL SYSTEMS; KINEMATICS AND DYNAMICS; LEARNING; MODEL ABSTRACTION; OBJECT MANIPULATION; SPIKING NEURON;

BRAIN;

ACTION POTENTIAL; ARTICLE; CEREBELLUM; COMPARATIVE STUDY; METHODOLOGY; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; ROBOTICS;

ACTION POTENTIALS; CEREBELLUM; MOVEMENT; PSYCHOMOTOR PERFORMANCE; ROBOTICS;

EID: 80051552141     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2156809     Document Type: Article

References (33)

1. A. G. Barto and M. Sridhar, "Recent advances in hierarchical reinforcement learning," Discr. Event Dyn. Syst., vol. 13, no. 4, pp. 341-79, 2003.
2. D. A. Linkens and H. O. Nyongesa, "Learning systems in intelligent control: An appraisal of fuzzy, neural and genetic algorithm control applications," IEEE Proc. Control Theory Appl., vol. 143, no. 4, pp. 367-386, Jul. 1996. (Pubitemid 126760242)
3. K. J. Hunta, D. Sbarbaroa, R. Z. Bikowskia, and P. J. Gawthropa, "Neural networks for control systems-A survey," Automatica, vol. 28, no. 6, pp. 1083-112, Nov. 1992.
4. S. Ghosh-Dastidar and H. Adeli, "Spiking neural networks," Int. J. Neural Syst., vol. 19, no. 4, pp. 295-308, 2009.
5. R. R. Carrillo, E. E. Ros, C. Boucheny, and O. Coenen, "A realtime spiking cerebellum model for learning robot control," Biosystems, vol. 94, nos. 1-2, pp. 18-27, Oct.-Nov. 2008.
6. M. J. Pearson, A. G. Pipe, B. Mitchinson, K. Gurney, C. Melhuish, I. Gilhespy, and M. Nibouche, "Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach," IEEE Trans. Neural Netw., vol. 18, no. 5, pp. 1472-1487, Sep. 2007. (Pubitemid 47408546)
7. E. M. Izhikevich, "Simple model of spiking neurons," IEEE Trans. Neural Netw., vol. 14, no. 6, pp. 1569-1572, Nov. 2003.
8. W. Gerstner and W. Kistler, Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge, U.K.: Cambridge Univ. Press, 2002.
9. M. A. Arbib, G. Metta, and P. van der Smagt, "Neurorobotics: From vision to action," in Handbook of Robotics. New York: Springer-Verlag, 2008, ch. 62, pp. 1453-1475.
10. C. Boucheny, R. R. Carrillo, E. Ros, and O. J.-M. D. Coenen, Real-Time Spiking Neural Network: An Adaptive Cerebellar Model (Lecture Notes in Computer Science), vol. 3512. New York: Springer-Verlag, 2005, pp. 136-144.
11. D. M. Wolpert, R. C. Miall, and M. Kawato, "Internal models in the cerebellum," Trends Cog. Sci., vol. 2, no. 9, pp. 338-347, Sep. 1998. (Pubitemid 28396569)
12. R. Brette, M. Rudolph, T. Carnevale, M. Hines, D. Beeman, J. M. Bower, M. Diesmann, A. Morrison, P. H. Goodman, and F. C. Harris, "Simulation of networks of spiking neurons: A review of tools and strategies," J. Comput. Neurosci., vol. 23, no. 3, pp. 349-398, 2007. (Pubitemid 47566522)
13. E. Ros, E. M. Ortigosa, R. Agís, R. Carrillo, and M. Arnold, "Realtime computing platform for spiking neurons (RT-spike)," IEEE Trans. Neural Netw., vol. 17, no. 4, pp. 1050-1063, Jul. 2006. (Pubitemid 44207804)
14. M. J. Pearson, A. G. Pipe, B. Mitchinson, K. Gurney, C. Melhuish, I. Gilhespy, and M. Nibouche, "Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach," IEEE Trans. Neural Netw., vol. 18, no. 5, pp. 1472-1487, Sep. 2007. (Pubitemid 47408546)
15. J. Butterfaß, M. Grebenstein, H. Liu, and G. Hirzinger, "DLR-hand II: Next generation of a dextrous robot hand," in Proc. IEEE Int. Conf. Robot. Autom., vol. 1. 2001, pp. 109-114. (Pubitemid 32815192)
16. R. E. Kettner, S. Mahamud, H.-C. Leung, N. Sitkoff, J. C. Houk, B. W. Peterson, and A. G. Barto, "Prediction of complex 2-D trajectories by a cerebellar model of smooth pursuit eye movement," J. Neurophysiol., vol. 77, no. 4, pp. 2115-2130, Apr. 1997. (Pubitemid 27174997)
17. H. Hoffmann, G. Petckos, S. Bitzer, and S. Vijayakumar, "Sensorassisted adaptive motor control under continuously varying context," in Proc. Int. Conf. Inf. Control, Autom. Robot., Angers, France, 2007, pp. 1-8.
18. M. Ito, The Cerebellum and Neural Control. New York: Raven, 1984.
19. E. Todorov, "Optimality principles in sensorimotor control (review)," Nat. Neurosci., vol. 7, pp. 907-915, Aug. 2004. (Pubitemid 39129496)
20. L. E. Miller, R. N. Holdefer, and J. C. Houk, "The role of the cerebellum in modulating voluntary limb movement commands," Arch. Ital. Biol., vol. 140, no. 3, pp. 175-183, 2002. (Pubitemid 34742192)
21. M. Ito, "Cerebellar circuitry as a neuronal machine," Prog. Neurobiol., vol. 78, nos. 3-5, pp. 272-303, Feb.-Apr. 2006. (Pubitemid 43850094)
22. M. Kawato, K. Furukawa, and R. Suzuki, "A hierarchical neural-network model for control and learning of voluntary movement," Biol. Cybern., vol. 57, no. 3, pp. 169-185, 1987.
23. E. Ros, R. Carrillo, E. M. Ortigosa, B. Barbour, and R. Agís, "Eventdriven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics," Neural Comput., vol. 18, no. 12, pp. 2959-2993, Dec. 2006. (Pubitemid 44879149)
24. E. D'Angelo, T. Nieus, M. Bezzi, A. Arleo, and O. J.-M. D. Coenen, Modeling Synaptic Transmission and Quantifying Information Transfer in the Granular Layer of the Cerebellum (Lecture Notes in Computer Science), vol. 3512. Berlin, Germany: Springer-Verlag, 2005, pp. 107-113.
25. C. D. Hansel, D. J. Linden, and E. D'Angelo, "Beyond parallel fiber LTD: The diversity of synaptic and non-synaptic plasticity in the cerebellum," Nat. Neurosci., vol. 4, no. 5, pp. 467-475, May 2001. (Pubitemid 32397183)
26. R. R. Llinás, "Inferior olive oscillation as the temporal basis for motricity and oscillatory reset as the basis for motor error correction," Neuroscience, vol. 162, no. 3, pp. 797-804, Sep. 2009.
27. M. Ito, M. Sakurai, and P. Tongroach, "Climbing fibre induced depression of both mossy fibre responsiveness and glutamate sensitivity of cerebellar Purkinje cells," J. Physiol., vol. 324, pp. 113-134, Jan. 1982. (Pubitemid 12132466)
28. R. R. Carrillo, E. Ros, B. Barbour, C. Boucheny, and O. J.-M. D. Coenen, "Event-driven simulation of neural population synchronization facilitated by electrical coupling," Biosystems, vol. 87, nos. 2-3, pp. 275-280, Feb. 2007. (Pubitemid 46073380)
29. P. E. Roland, "Sensory feedback to the cerebral cortex during voluntary movement in man," Behav. Brain Sci., vol. 1, no. 1, pp. 129-171, 1978. (Pubitemid 10077276)
30. E. Mugnaini, R. L. Atluri, and J. C. Houk, "Fine structure of granular layer in turtle cerebellum with emphasis on large glomeruli," J. Neurophysiol., vol. 37, no. 1, pp. 1-29, Jan. 1974.
31. T. Yamazaki and S. Tanaka, "The cerebellum as a liquid state machine," Neural Netw., vol. 20, no. 3, pp. 290-297, Apr. 2007. (Pubitemid 46856107)
32. A. F. Hamilton, D. W. Joyce, J. R. Flanagan, C. D. Frith, and D. M. Wolpert, "Kinematic cues in perceptual weight judgement and their origins in box lifting," Physiol. Res., vol. 71, no. 1, pp. 13-21, 2007.
33. A. A. Ahmed, D. M. Wolpert, and J. R. Flanagan, "Flexible representations of dynamics are used in object manipulation," Current Biol., vol. 18, no. 10, pp. 763-768, May 2008.