Literature DB >> 12508580

Neural control of saccades.

John D Enderle1.   

Abstract

Quantitative models of the oculomotor plant and control of the saccadic eye movement system are presented in this chapter. Oculomotor plant models described here are linear, including a second-order model by Westheimer (1954), Bahill et al. (1980) and Enderle et al. (2000). The model of the saccade generator is initiated by the superior colliculus and terminated by the cerebellar fastigial nucleus that operates under a time optimal control strategy. A common mechanism for all types of saccades is described, including those with dynamic overshoot and glissadic behavior. Conflicting evidence exists regarding the operation of the excitatory burst neuron during saccades. The excitatory burst neuron operates within two states: complete inhibition, and without inhibition that is characterized by high firing at rates of up to 1000 Hz. While there is direct evidence of projections from the superior colliculus to the paramedian pontine reticular formation, there is conflictory evidence regarding the connections from the superior colliculus to the excitatory burst neuron, with the most recent experimental results supporting no direct connections. A model of the excitatory burst neuron is described using a Hodgkin-Huxley model of the neuron that fires at 1000 Hz automatically and without stimulation when released from inhibition. SIMULINK simulations using this neuron model have all of the characteristics of the excitatory burst neuron firing rate during a saccade. This model eliminates the need to introduce BIAS inputs that causes bursting in some models of the saccade generator. Such a model is also appropriate for modeling the Omnipause neurons.

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Year:  2002        PMID: 12508580     DOI: 10.1016/S0079-6123(02)40040-4

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  8 in total

Review 1.  Imaging correlates of neural control of ocular movements.

Authors:  Mohit Agarwal; John L Ulmer; Tushar Chandra; Andrew P Klein; Leighton P Mark; Suyash Mohan
Journal:  Eur Radiol       Date:  2015-09-22       Impact factor: 5.315

2.  Widely distributed magnetoencephalography spikes related to the planning and execution of human saccades.

Authors:  Andreas A Ioannides; Peter B C Fenwick; Lichan Liu
Journal:  J Neurosci       Date:  2005-08-31       Impact factor: 6.167

3.  Membrane channel properties of premotor excitatory burst neurons may underlie saccade slowing after lesions of omnipause neurons.

Authors:  Kenichiro Miura; Lance M Optican
Journal:  J Comput Neurosci       Date:  2006-02-20       Impact factor: 1.621

4.  Expectations can modulate the frequency and timing of multiple saccades: a TMS study.

Authors:  Kimberley Martin; Paul van Donkelaar
Journal:  Exp Brain Res       Date:  2012-06-27       Impact factor: 1.972

5.  EVALUATION OF VERTICAL AND HORIZONTAL SACCADES USING THE DEVELOPMENTAL EYE MOVEMENT TEST COMPARED TO THE KING-DEVICK TEST.

Authors:  John D Heick; Curt Bay; Tamara C Valovich McLeod
Journal:  Int J Sports Phys Ther       Date:  2018-08

6.  Intrinsic Connectivity Provides the Baseline Framework for Variability in Motor Performance: A Multivariate Fusion Analysis of Low- and High-Frequency Resting-State Oscillations and Antisaccade Performance.

Authors:  Sharna D Jamadar; Gary F Egan; Vince D Calhoun; Beth Johnson; Joanne Fielding
Journal:  Brain Connect       Date:  2016-06-23

7.  Spatiotemporal characteristics of postsaccadic dynamic overshoot in young and elderly subjects.

Authors:  Min Li; Junru Wu; Wenbo Ma; Zhihao Zhang; Mingsha Zhang; Xuemei Li; Zhipei Ling; Xin Xu
Journal:  iScience       Date:  2021-06-24

8.  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

  8 in total

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