Literature DB >> 16343730

From brainstem to cortex: computational models of saccade generation circuitry.

B Girard1, A Berthoz.   

Abstract

The brain circuitry of saccadic eye movements, from brainstem to cortex, has been extensively studied during the last 30 years. The wealth of data gathered allowed the conception of numerous computational models. These models proposed descriptions of the putative mechanisms generating this data, and, in turn, made predictions and helped to plan new experiments. In this article, we review the computational models of the five main brain regions involved in saccade generation: reticular formation saccadic burst generators, superior colliculus, cerebellum, basal ganglia and premotor cortical areas. We present the various topics these models are concerned with: location of the feedback loop, multimodal saccades, long-term adaptation, on the fly trajectory correction, strategy and metrics selection, short-term spatial memory, transformations between retinocentric and craniocentric reference frames, sequence learning, to name the principle ones. Our objective is to provide a global view of the whole system. Indeed, narrowing too much the modelled areas while trying to explain too much data is a recurrent problem that should be avoided. Moreover, beyond the multiple research topics remaining to be solved locally, questions regarding the operation of the whole structure can now be addressed by building on the existing models.

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Year:  2005        PMID: 16343730     DOI: 10.1016/j.pneurobio.2005.11.001

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  23 in total

1.  Adaptive control of saccades via internal feedback.

Authors:  Haiyin Chen-Harris; Wilsaan M Joiner; Vincent Ethier; David S Zee; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-03-12       Impact factor: 6.167

Review 2.  A computational neuroanatomy for motor control.

Authors:  Reza Shadmehr; John W Krakauer
Journal:  Exp Brain Res       Date:  2008-02-05       Impact factor: 1.972

Review 3.  Behavioural and computational varieties of response inhibition in eye movements.

Authors:  Vassilis Cutsuridis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-04-19       Impact factor: 6.237

4.  Experimental tests of hypotheses for microsaccade generation.

Authors:  Fatema F Ghasia; Aasef G Shaikh
Journal:  Exp Brain Res       Date:  2015-01-07       Impact factor: 1.972

Review 5.  Eye movements in Alzheimer's disease.

Authors:  Robert J Molitor; Philip C Ko; Brandon A Ally
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

6.  Neurally constrained modeling of perceptual decision making.

Authors:  Braden A Purcell; Richard P Heitz; Jeremiah Y Cohen; Jeffrey D Schall; Gordon D Logan; Thomas J Palmeri
Journal:  Psychol Rev       Date:  2010-10       Impact factor: 8.934

7.  Cell-Type-Specific Control of Brainstem Locomotor Circuits by Basal Ganglia.

Authors:  Thomas K Roseberry; A Moses Lee; Arnaud L Lalive; Linda Wilbrecht; Antonello Bonci; Anatol C Kreitzer
Journal:  Cell       Date:  2016-01-28       Impact factor: 41.582

8.  The mechanism of saccade motor pattern generation investigated by a large-scale spiking neuron model of the superior colliculus.

Authors:  Jan Morén; Tomohiro Shibata; Kenji Doya
Journal:  PLoS One       Date:  2013-02-19       Impact factor: 3.240

9.  The human frontal oculomotor cortical areas contribute asymmetrically to motor planning in a gap saccade task.

Authors:  Paul van Donkelaar; Yu Lin; David Hewlett
Journal:  PLoS One       Date:  2009-09-30       Impact factor: 3.240

10.  The parietal cortex and saccade planning: lessons from human lesion studies.

Authors:  Radek Ptak; René M Müri
Journal:  Front Hum Neurosci       Date:  2013-06-07       Impact factor: 3.169

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