Literature DB >> 31283450

Predictive Smooth Pursuit Eye Movements.

Eileen Kowler1, Jason F Rubinstein1, Elio M Santos1,2, Jie Wang1.   

Abstract

Smooth pursuit eye movements maintain the line of sight on smoothly moving targets. Although often studied as a response to sensory motion, pursuit anticipates changes in motion trajectories, thus reducing harmful consequences due to sensorimotor processing delays. Evidence for predictive pursuit includes (a) anticipatory smooth eye movements (ASEM) in the direction of expected future target motion that can be evoked by perceptual cues or by memory for recent motion, (b) pursuit during periods of target occlusion, and (c) improved accuracy of pursuit with self-generated or biologically realistic target motions. Predictive pursuit has been linked to neural activity in the frontal cortex and in sensory motion areas. As behavioral and neural evidence for predictive pursuit grows and statistically based models augment or replace linear systems approaches, pursuit is being regarded less as a reaction to immediate sensory motion and more as a predictive response, with retinal motion serving as one of a number of contributing cues.

Keywords:  anticipation; anticipatory smooth eye movements; expectation; extraretinal signal; eye movements; frontal eye field; motion; prediction; sensory motion areas; smooth pursuit

Mesh:

Year:  2019        PMID: 31283450     DOI: 10.1146/annurev-vision-091718-014901

Source DB:  PubMed          Journal:  Annu Rev Vis Sci        ISSN: 2374-4642            Impact factor:   6.422


  7 in total

1.  Mechanisms that allow cortical preparatory activity without inappropriate movement.

Authors:  Timothy R Darlington; Stephen G Lisberger
Journal:  Elife       Date:  2020-02-21       Impact factor: 8.140

2.  The influence of stimulus and behavioral histories on predictive control of smooth pursuit eye movements.

Authors:  Takeshi Miyamoto; Yutaka Hirata; Akira Katoh; Kenichiro Miura; Seiji Ono
Journal:  Sci Rep       Date:  2021-11-16       Impact factor: 4.379

3.  Flexible prediction of opponent motion with internal representation in interception behavior.

Authors:  Kazushi Tsutsui; Keisuke Fujii; Kazutoshi Kudo; Kazuya Takeda
Journal:  Biol Cybern       Date:  2021-08-11       Impact factor: 2.086

4.  The oculomotor signature of expected surprise.

Authors:  Dominika Drążyk; Marcus Missal
Journal:  Sci Rep       Date:  2022-02-15       Impact factor: 4.379

Review 5.  Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.

Authors:  Koenraad Vandevoorde; Lukas Vollenkemper; Constanze Schwan; Martin Kohlhase; Wolfram Schenck
Journal:  Sensors (Basel)       Date:  2022-03-23       Impact factor: 3.576

6.  Humans adapt their anticipatory eye movements to the volatility of visual motion properties.

Authors:  Chloé Pasturel; Anna Montagnini; Laurent Udo Perrinet
Journal:  PLoS Comput Biol       Date:  2020-04-13       Impact factor: 4.475

7.  Retinal error signals and fluctuations in eye velocity influence oculomotor behavior in subsequent trials.

Authors:  Alexander Goettker
Journal:  J Vis       Date:  2021-05-03       Impact factor: 2.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.