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Adaptive feedback control models of the vestibulocerebellum and spinocerebellum

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Abstract

We extend the cerebellar learning model proposed by Kawato and Gomi (1992) to the case where a specific region of the cerebellum executes adaptive feed-back control as well as feedforward control. The model is still based on the feedback-error-learning scheme. The proposed adaptive feedback control model is developed in detail as a specific neural circuit model for three different regions of the cerebellum and the learning of the corresponding representative movements: (i) the flocculus and adaptive modification of the vestibulo-ocular reflex and optokinetic eye-movement responses, (ii) the vermis and adaptive posture control, and (iii) the intermediate zones of the hemisphere and adaptive control of locomotion. As a representative example, simultaneous adaptation of the vestibulo-ocular reflex and the optokinetic eye-movement response was successfully simulated while the Purkinje cells receive copies of motor commands through recurrent neural connections as well as vestibular and retinal-slip parallel-fiber inputs.

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References

  • Albus JS (1971) A theory of cerebellar functions. Math Biosci 10:25–61

    Google Scholar 

  • Anastasio TJ (1991) Neural network models of velocity storage in the horizontal vestibulo-ocular reflex. Biol Cybern 64:187–196

    Google Scholar 

  • Arnold DB, Robinson DA (1991) A learning network model of the neural integrator of the oculomotor system. Biol Cybern 64:447–454

    Google Scholar 

  • Ezure K, Graf W (1984) A quantitative analysis of the spatial organization of the vestibulo-ocular reflexes in lateral-and frontaleyed animals — I. Orientation of semicircular canals and extraocular muscles. Neuroscience 12:85–93

    Google Scholar 

  • Fujita M (1982a) Adaptive filter model of the cerebellum. Biol Cybern 45:195–206

    Google Scholar 

  • Fujita M (1982b) Simulation of adaptive modification of the vestibulo-ocular reflex with an adaptive filter model of the cerebellum. Biol Cybern 45:207–214

    Google Scholar 

  • Gellman R, Gibson AR, Houk JC (1985) Inferior olivary neurons in the awake cat: Detection of contact and passive body displacement. J Neurophysiol 54:40–60

    Google Scholar 

  • Gerrits NM, Voogd J (1989) The topographical organization of climbing and mossy fiber afferents in the flocculus and the ventral paraflocculus in rabbit, cat and monkey. In: Strata P (eds) The olivocerebellar system in motor control. Experimental Brain Research Series, Vol 17. Springer, Berlin Heidelberg New York, pp 26–29

    Google Scholar 

  • Gomi H, Kawato M (1990) Learning control for a closed loop system using feedback-error-learning. Proc IEEE Conf Dec Cont 3289-3294 (December, Hawaii)

  • Ito M (1970) Neurophysiological aspects of the cerebellar motor control system. Int J Neurol 7:162–176

    Google Scholar 

  • Ito M (1984) The cerebellum and neural control. Raven Press, New York

    Google Scholar 

  • Ito M (1989) Long-term depression. Annu Rev Neurosci 12:85–102

    Google Scholar 

  • Ito M, Nagao S (1991) Comparative aspects of horizontal ocular reflexes and their cerebellar adaptive control in vertebrates. Comp Biochem Physiol 98c:221–228

    Google Scholar 

  • Jeneskog T, Johansson H (1977) The rubro-bulbospinal path. A descending system known to influence dynamic fusimotor neurones and its interaction with distal cutaneous afferents in the control of flexor reflex afferent pathways. Exp Brain Res 27:161–179

    Google Scholar 

  • Kawato M (1990) Computational schemes and neural network models for formation and control of multijoint arm trajectory. In: Miller T, Sutton R, Werbos P (eds) Neural networks for control. MIT Press, Cambridge MA, pp 197–228

    Google Scholar 

  • Kawato M, Gomi H (1992) A computational model for four regions of the cerebellum based on feedback-error-learning. Biol Cybern

  • Kawato M, Furukawa K, Suzuki R (1987) A hierarchical neural-network model for control and learning of voluntary movement. Biol Cybern 57:169–185

    Google Scholar 

  • Lisberger SG (1988) The neural basis for learning of simple motor skills. Science 242:728–735

    Google Scholar 

  • Maekawa K, Simpson JI (1973) Climbing fiber responses evoked in vestibulocerebellum of rabbit from visual system. J Neurophysiol 36:649–666

    Google Scholar 

  • Marr D (1969) A theory of cerebellar cortex. J Physiol 202:437–470

    Google Scholar 

  • Matsukawa K, Udo M (1985) Responses of cerebellar Purkinje cells to mechanical perturbations during locomotion of decerebrate cats. Neurosci Res 2:393–398

    Google Scholar 

  • Nagao S (1988) Behavior of floccular Purkinje cells correlated with adaptation of horizontal optokinetic eye movement response in pigmented rabbits. Exp Brain Res 73:489–497

    Google Scholar 

  • Nagao S (1991) Contribution of oculomotor signals to the behavior of rabbit floccular Purkinje cells during reflex eye movements. Neurosci Res 12:169–184

    Google Scholar 

  • Nagao S (1992) Different roles of flocculus and ventral paraflocculus for oculomotor control in the primate. NeuroRep 3:13–16

    Google Scholar 

  • Nagao S, Ito M, Karachot L (1985) Eye field in the cerebellar flocculus of pigmented rabbits determined with local electrical stimulation. Neurosci Res 3:39–51

    Google Scholar 

  • Nashner LM (1981) Analysis of stance posture in humans. In: Towe AL, Luschei ES (eds) Handbook of behavioral neurobiology, Vol 5. Plenum Press, New York, pp 527–565

    Google Scholar 

  • Oscarsson O (1980) Functional organization of olivary projection to the cerebellar anterior lobe. In: Courvilee J, Montigny CD, Lamarre Y (eds) The inferior olivary nucleus. Anatomy and physiology. Raven Press, New York, pp 279–289

    Google Scholar 

  • Robinson DA (1977) Linear addition of optokinetic and vestibular signals in the vestibular nucleus. Exp Brain Res 30:447–450

    Google Scholar 

  • Simpson JI, Alley KE (1974) Visual climbing fiber input to rabbit vestibulocerebellum: a source of direction-specific information. Brain Res 82:302–308

    Google Scholar 

  • Simpson JI, Graf W, Leonard CS (1989) Three-dimensional representation of retinal image movement by climbing fiber activity. In: Strata P (eds) The olivocerebellar system in motor control. Experimental Brain Research Series, Vol 17. Springer, Berlin Heidelberg New York, pp 321–337

    Google Scholar 

  • Stone LS, Lisberger SG (1990) Visual responses of Purkinje cells in the cerebellar flocculus during smooth pursuit eye movements in monkeys. I. Simple spikes. J Neurophysiol 63:1241–1261

    Google Scholar 

  • Udo M, Matsukawa K, Kamei H, Minoda K, Oda Y (1980) Cerebellar control of locomotion: effects of cooling cerebellar intermediate cortex in high decerebrate and awake walking cats. J Neurophysiol 44:119–133

    Google Scholar 

  • Watanabe E (1985) Role of the primate flocculus in adaptation of the vestibulo-ocular reflex. Neurosci Res 3:20–38

    Google Scholar 

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Gomi, H., Kawato, M. Adaptive feedback control models of the vestibulocerebellum and spinocerebellum. Biol. Cybern. 68, 105–114 (1992). https://doi.org/10.1007/BF00201432

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