Literature DB >> 18234985

Obligatory adaptation of saccade gains.

Riju Srimal1, Jörn Diedrichsen, Edward B Ryklin, Clayton E Curtis.   

Abstract

We tested the hypothesis that saccade gains adapt to minimize error between the visual target and the saccade endpoint of every saccade we make even when the errors on sequential saccades are not directionally consistent. We utilized a state-space model that estimated the degree to which saccade gains were modified by the magnitude and direction of errors made on the previous trial. Importantly, to show that learning did not depend on the accumulation of directionally consistent errors, we fit the model to saccades made to targets that were displaced in a random direction during the saccade, thereby inducing errors with directions that were not sequentially the same. Saccade gains clearly adapted on a trial-by-trial basis despite that the perturbations were random, and the average amount of learning per trial was of similar magnitude as that found in a constant displacement of the target. These results indicate that saccade adaptation is a rapid and obligatory process that does not require conscious awareness.

Mesh:

Year:  2008        PMID: 18234985      PMCID: PMC2671393          DOI: 10.1152/jn.01024.2007

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


  20 in total

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3.  Multiple paired forward and inverse models for motor control.

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4.  Dynamic analysis of learning in behavioral experiments.

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