Literature DB >> 12163519

Linear regression of eye velocity on eye position and head velocity suggests a common oculomotor neural integrator.

Mark S Goldman1, Chris R S Kaneko, Guy Major, Emre Aksay, David W Tank, H S Seung.   

Abstract

The oculomotor system produces eye-position signals during fixations and head movements by integrating velocity-coded saccadic and vestibular inputs. A previous analysis of nucleus prepositus hypoglossi (nph) lesions in monkeys found that the integration time constant for maintaining fixations decreased, while that for the vestibulo-ocular reflex (VOR) did not. On this basis, it was concluded that saccadic inputs are integrated by the nph, but that the vestibular inputs are integrated elsewhere. We re-analyze the data from which this conclusion was drawn by performing a linear regression of eye velocity on eye position and head velocity to derive the time constant and velocity bias of an imperfect oculomotor neural integrator. The velocity-position regression procedure reveals that the integration time constants for both VOR and saccades decrease in tandem with consecutive nph lesions, consistent with the hypothesis of a single common integrator. The previous evaluation of the integrator time constant relied upon fitting methods that are prone to error in the presence of velocity bias and saccades. The algorithm used to evaluate imperfect fixations in the dark did not account for the nonzero null position of the eyes associated with velocity bias. The phase-shift analysis used in evaluating the response to sinusoidal vestibular input neglects the effect of saccadic resets of eye position on intersaccadic eye velocity, resulting in gross underestimates of the imperfections in integration during VOR. The linear regression method presented here is valid for both fixation and low head velocity VOR data and is easy to implement.

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Year:  2002        PMID: 12163519     DOI: 10.1152/jn.2002.88.2.659

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  8 in total

1.  Plasticity and tuning of the time course of analog persistent firing in a neural integrator.

Authors:  Guy Major; Robert Baker; Emre Aksay; H Sebastian Seung; David W Tank
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-10       Impact factor: 11.205

2.  Plasticity and tuning by visual feedback of the stability of a neural integrator.

Authors:  Guy Major; Robert Baker; Emre Aksay; Brett Mensh; H Sebastian Seung; David W Tank
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-10       Impact factor: 11.205

3.  Nonlinear time series analysis of jerk congenital nystagmus.

Authors:  O E Akman; D S Broomhead; R A Clement; R V Abadi
Journal:  J Comput Neurosci       Date:  2006-05-26       Impact factor: 1.621

4.  Saccadic instabilities in albinism without nystagmus.

Authors:  Chris Timms; Dorothy Thompson; Isabelle Russell-Eggitt; Richard Clement
Journal:  Exp Brain Res       Date:  2006-05-23       Impact factor: 1.972

5.  Control of neuronal persistent activity by voltage-dependent dendritic properties.

Authors:  Erwin Idoux; Daniel Eugène; Antoine Chambaz; Christophe Magnani; John A White; Lee E Moore
Journal:  J Neurophysiol       Date:  2008-07-16       Impact factor: 2.714

Review 6.  Computational approaches to spatial orientation: from transfer functions to dynamic Bayesian inference.

Authors:  Paul R MacNeilage; Narayan Ganesan; Dora E Angelaki
Journal:  J Neurophysiol       Date:  2008-10-08       Impact factor: 2.714

7.  Synaptic and intrinsic homeostasis cooperate to optimize single neuron response properties and tune integrator circuits.

Authors:  Jonathan Cannon; Paul Miller
Journal:  J Neurophysiol       Date:  2016-06-15       Impact factor: 2.714

8.  Neural activity in macaque parietal cortex reflects temporal integration of visual motion signals during perceptual decision making.

Authors:  Alexander C Huk; Michael N Shadlen
Journal:  J Neurosci       Date:  2005-11-09       Impact factor: 6.709

  8 in total

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