Literature DB >> 19336251

Internal models of eye movement in the floccular complex of the monkey cerebellum.

S G Lisberger1.   

Abstract

Internal models are a key feature of most modern theories of motor control. Yet, it has been challenging to localize internal models in the brain, or to demonstrate that they are more than a metaphor. In the present review, I consider a large body of data on the cerebellar floccular complex, asking whether floccular output has features that would be expected of the output from internal models. I argue that the simple spike firing rates of a single group of floccular Purkinje cells could reflect the output of three different internal models. (1) An eye velocity positive feedback pathway through the floccular complex provides neural inertia for smooth pursuit eye movements, and appears to operate as a model of the inertia of real-world objects. (2) The floccular complex processes and combines input signals so that the dynamics of its average simple spike output are appropriate for the dynamics of the downstream brainstem circuits and eyeball. If we consider the brainstem circuits and eyeball as a more broadly conceived "oculomotor plant," then the output from the floccular complex could be the manifestation of an inverse model of "plant" dynamics. (3) Floccular output reflects an internal model of the physics of the orbit where head and eye motion sum to produce gaze motion. The effects of learning on floccular output suggest that it is modeling the interaction of the visually-guided and vestibular-driven components of eye and gaze motion. Perhaps the insights from studying oculomotor control provide groundwork to guide the analysis of internal models for a wide variety of cerebellar behaviors.

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Year:  2009        PMID: 19336251      PMCID: PMC2740815          DOI: 10.1016/j.neuroscience.2009.03.059

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  85 in total

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Review 4.  Synaptic memories upside down: bidirectional plasticity at cerebellar parallel fiber-Purkinje cell synapses.

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Journal:  Neuron       Date:  2006-10-19       Impact factor: 17.173

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Journal:  J Neurophysiol       Date:  1990-05       Impact factor: 2.714

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Journal:  Brain Res       Date:  1974-11-22       Impact factor: 3.252

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Journal:  J Neurophysiol       Date:  1980-05       Impact factor: 2.714

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Journal:  J Neurophysiol       Date:  1971-07       Impact factor: 2.714

10.  Memory trace of motor learning shifts transsynaptically from cerebellar cortex to nuclei for consolidation.

Authors:  F Shutoh; M Ohki; H Kitazawa; S Itohara; S Nagao
Journal:  Neuroscience       Date:  2006-02-03       Impact factor: 3.590

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  48 in total

Review 1.  Motor Learning and the Cerebellum.

Authors:  Chris I De Zeeuw; Michiel M Ten Brinke
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-01       Impact factor: 10.005

2.  Cerebellum as a forward but not inverse model in visuomotor adaptation task: a tDCS-based and modeling study.

Authors:  Fatemeh Yavari; Shirin Mahdavi; Farzad Towhidkhah; Mohammad-Ali Ahmadi-Pajouh; Hamed Ekhtiari; Mohammad Darainy
Journal:  Exp Brain Res       Date:  2015-12-26       Impact factor: 1.972

3.  Cerebellar contributions to self-motion perception: evidence from patients with congenital cerebellar agenesis.

Authors:  Kilian Dahlem; Yulia Valko; Jeremy D Schmahmann; Richard F Lewis
Journal:  J Neurophysiol       Date:  2016-02-17       Impact factor: 2.714

4.  Spatial patterns of persistent neural activity vary with the behavioral context of short-term memory.

Authors:  Kayvon Daie; Mark S Goldman; Emre R F Aksay
Journal:  Neuron       Date:  2015-02-05       Impact factor: 17.173

Review 5.  Corollary Discharge Signals in the Cerebellum.

Authors:  Abigail L Person
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-05-02

6.  No-go neurons in the cerebellar oculomotor vermis and caudal fastigial nuclei: planning tracking eye movements.

Authors:  Sergei Kurkin; Teppei Akao; Junko Fukushima; Natsuko Shichinohe; Chris R S Kaneko; Tim Belton; Kikuro Fukushima
Journal:  Exp Brain Res       Date:  2013-10-16       Impact factor: 1.972

7.  Diversity of vestibular nuclei neurons targeted by cerebellar nodulus inhibition.

Authors:  Hui Meng; Pablo M Blázquez; J David Dickman; Dora E Angelaki
Journal:  J Physiol       Date:  2013-10-14       Impact factor: 5.182

Review 8.  Spatiotemporal firing patterns in the cerebellum.

Authors:  Chris I De Zeeuw; Freek E Hoebeek; Laurens W J Bosman; Martijn Schonewille; Laurens Witter; Sebastiaan K Koekkoek
Journal:  Nat Rev Neurosci       Date:  2011-05-05       Impact factor: 34.870

Review 9.  The multiple roles of Purkinje cells in sensori-motor calibration: to predict, teach and command.

Authors:  Javier F Medina
Journal:  Curr Opin Neurobiol       Date:  2011-06-16       Impact factor: 6.627

10.  Searching for an Internal Representation of Stimulus Kinematics in the Response of Ventral Paraflocculus Purkinje Cells.

Authors:  Pablo M Blazquez; GyuTae Kim; Tatyana A Yakusheva
Journal:  Cerebellum       Date:  2017-08       Impact factor: 3.847

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