Literature DB >> 21273314

Direction and speed tuning to visual motion in cortical areas MT and MSTd during smooth pursuit eye movements.

Naoko Inaba1, Kenichiro Miura, Kenji Kawano.   

Abstract

When tracking a moving target in the natural world with pursuit eye movement, our visual system must compensate for the self-induced retinal slip of the visual features in the background to enable us to perceive their actual motion. We previously reported that the speed of the background stimulus in space is represented by dorsal medial superior temporal (MSTd) neurons in the monkey cortex, which compensate for retinal image motion resulting from eye movements when the direction of the pursuit and background motion are parallel to the preferred direction of each neuron. To further characterize the compensation observed in the MSTd responses to the background motion, we recorded single unit activities in cortical areas middle temporal (MT) and MSTd, and we selected neurons responsive to a large-field visual stimulus. We studied their responses to the large-field stimulus in the background while monkeys pursued a moving target and while fixated a stationary target. We investigated whether compensation for retinal image motion of the background depended on the speed of pursuit. We also asked whether the directional selectivity of each neuron in relation to the external world remained the same even during pursuit and whether compensation for retinal image motion occurred irrespective of the direction of the pursuit. We found that the majority of the MSTd neurons responded to the visual motion in space by compensating for the image motion on the retina resulting from the pursuit regardless of pursuit speed and direction, whereas most of the MT neurons responded in relation to the genuine retinal image motion.

Entities:  

Mesh:

Year:  2011        PMID: 21273314     DOI: 10.1152/jn.00511.2010

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


  11 in total

1.  Computations underlying the visuomotor transformation for smooth pursuit eye movements.

Authors:  T Scott Murdison; Guillaume Leclercq; Philippe Lefèvre; Gunnar Blohm
Journal:  J Neurophysiol       Date:  2014-12-04       Impact factor: 2.714

2.  Gain Modulation as a Mechanism for Coding Depth from Motion Parallax in Macaque Area MT.

Authors:  HyungGoo R Kim; Dora E Angelaki; Gregory C DeAngelis
Journal:  J Neurosci       Date:  2017-07-24       Impact factor: 6.167

3.  Eye Velocity Gain Fields in MSTd During Optokinetic Stimulation.

Authors:  Lukas Brostek; Ulrich Büttner; Michael J Mustari; Stefan Glasauer
Journal:  Cereb Cortex       Date:  2014-02-20       Impact factor: 5.357

4.  Neurons in cortical area MST remap the memory trace of visual motion across saccadic eye movements.

Authors:  Naoko Inaba; Kenji Kawano
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-12       Impact factor: 11.205

5.  A Stable Visual World in Primate Primary Visual Cortex.

Authors:  Adam P Morris; Bart Krekelberg
Journal:  Curr Biol       Date:  2019-04-25       Impact factor: 10.834

6.  A neural mechanism for detecting object motion during self-motion.

Authors:  HyungGoo R Kim; Dora E Angelaki; Gregory C DeAngelis
Journal:  Elife       Date:  2022-06-01       Impact factor: 8.713

7.  Effector-dependent stochastic reference frame transformations alter decision-making.

Authors:  T Scott Murdison; Dominic I Standage; Philippe Lefèvre; Gunnar Blohm
Journal:  J Vis       Date:  2022-07-11       Impact factor: 2.004

8.  Neural Mechanism for Coding Depth from Motion Parallax in Area MT: Gain Modulation or Tuning Shifts?

Authors:  Zhe-Xin Xu; Gregory C DeAngelis
Journal:  J Neurosci       Date:  2021-12-15       Impact factor: 6.709

9.  Eye position effects on the remapped memory trace of visual motion in cortical area MST.

Authors:  Naoko Inaba; Kenji Kawano
Journal:  Sci Rep       Date:  2016-02-23       Impact factor: 4.379

10.  Speed and direction response profiles of neurons in macaque MT and MST show modest constraint line tuning.

Authors:  Jacob Duijnhouwer; André J Noest; Martin J M Lankheet; Albert V van den Berg; Richard J A van Wezel
Journal:  Front Behav Neurosci       Date:  2013-04-04       Impact factor: 3.558

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.