Literature DB >> 24501357

Difference in visual motion representation between cortical areas MT and MST during ocular following responses.

Kenichiro Miura1, Naoko Inaba, Yuki Aoki, Kenji Kawano.   

Abstract

The middle temporal (MT) and medial superior temporal (MST) areas are successive stations of the visual motion-processing stream and project in parallel to the pontine nucleus, which is closely associated with rapid stabilization of gaze. We recorded the neural activities of MT and MST neurons of monkeys during short-latency ocular following responses (OFRs) elicited by large-field sinusoidal gratings with different spatial frequencies drifting at different temporal frequencies, and examined the dependence on spatiotemporal frequency. The results indicate that most MT/MST neurons were tuned almost separately for spatial and temporal frequencies of motion stimuli. The difference between MT and MST neurons was particularly striking for the optimal spatial frequency (higher for MT and lower for MST). The spatiotemporal frequency dependence of the OFRs could be reproduced by a weighted sum of the population activities of the MT and MST neurons. We conclude that MT and MST neurons work as spatiotemporal frequency sensors that extract motions of finer and coarser visual features and that both areas contribute to generation of OFRs.

Mesh:

Year:  2014        PMID: 24501357      PMCID: PMC6608534          DOI: 10.1523/JNEUROSCI.3797-13.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  12 in total

1.  Difference in perceptual and oculomotor responses revealed by apparent motion stimuli presented with an interstimulus interval.

Authors:  Shizuka Nohara; Kenji Kawano; Kenichiro Miura
Journal:  J Neurophysiol       Date:  2015-03-25       Impact factor: 2.714

2.  Functional Segregation and Development of Mouse Higher Visual Areas.

Authors:  Tomonari Murakami; Teppei Matsui; Kenichi Ohki
Journal:  J Neurosci       Date:  2017-08-28       Impact factor: 6.167

3.  Separate spatial and temporal frequency tuning to visual motion in human MT+ measured with ECoG.

Authors:  Anna Gaglianese; Ben M Harvey; Mariska J Vansteensel; Serge O Dumoulin; Nick F Ramsey; Natalia Petridou
Journal:  Hum Brain Mapp       Date:  2016-09-20       Impact factor: 5.038

4.  The human middle temporal cortex responds to both active leg movements and egomotion-compatible visual motion.

Authors:  Valentina Sulpizio; Francesca Strappini; Patrizia Fattori; Gaspare Galati; Claudio Galletti; Anna Pecchinenda; Sabrina Pitzalis
Journal:  Brain Struct Funct       Date:  2022-08-13       Impact factor: 3.748

5.  A behavioral receptive field for ocular following in monkeys: Spatial summation and its spatial frequency tuning.

Authors:  Frédéric V Barthélemy; Jérome Fleuriet; Laurent U Perrinet; Guillaume S Masson
Journal:  eNeuro       Date:  2022-06-27

6.  Towards an understanding of the roles of visual areas MT and MST in computing speed.

Authors:  Andrew Isaac Meso; Claudio Simoncini
Journal:  Front Comput Neurosci       Date:  2014-08-08       Impact factor: 2.380

7.  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

8.  Neural activity in the dorsal medial superior temporal area of monkeys represents retinal error during adaptive motor learning.

Authors:  Aya Takemura; Tomoyo Ofuji; Kenichiro Miura; Kenji Kawano
Journal:  Sci Rep       Date:  2017-01-19       Impact factor: 4.379

9.  Ocular-following responses to white noise stimuli in humans reveal a novel nonlinearity that results from temporal sampling.

Authors:  Boris M Sheliga; Christian Quaia; Edmond J FitzGibbon; Bruce G Cumming
Journal:  J Vis       Date:  2016       Impact factor: 2.240

10.  Natural motion trajectory enhances the coding of speed in primate extrastriate cortex.

Authors:  Amanda J Davies; Tristan A Chaplin; Marcello G P Rosa; Hsin-Hao Yu
Journal:  Sci Rep       Date:  2016-01-27       Impact factor: 4.379

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