Literature DB >> 11319562

Speed skills: measuring the visual speed analyzing properties of primate MT neurons.

J A Perrone1, A Thiele.   

Abstract

Knowing the direction and speed of moving objects is often critical for survival. However, it is poorly understood how cortical neurons process the speed of image movement. Here we tested MT neurons using moving sine-wave gratings of different spatial and temporal frequencies, and mapped out the neurons' spatiotemporal frequency response profiles. The maps typically had oriented ridges of peak sensitivity as expected for speed-tuned neurons. The preferred speed estimate, derived from the orientation of the maps, corresponded well to the preferred speed when moving bars were presented. Thus, our data demonstrate that MT neurons are truly sensitive to the object speed. These findings indicate that MT is not only a key structure in the analysis of direction of motion and depth perception, but also in the analysis of object speed.

Mesh:

Year:  2001        PMID: 11319562     DOI: 10.1038/87480

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  56 in total

1.  Visual motion integration by neurons in the middle temporal area of a New World monkey, the marmoset.

Authors:  Selina S Solomon; Chris Tailby; Saba Gharaei; Aaron J Camp; James A Bourne; Samuel G Solomon
Journal:  J Physiol       Date:  2011-09-26       Impact factor: 5.182

2.  Correlation between speed perception and neural activity in the middle temporal visual area.

Authors:  Jing Liu; William T Newsome
Journal:  J Neurosci       Date:  2005-01-19       Impact factor: 6.167

3.  Chromatic sensitivity of neurones in area MT of the anaesthetised macaque monkey compared to human motion perception.

Authors:  Igor Riecanský; Alexander Thiele; Claudia Distler; Klaus-Peter Hoffmann
Journal:  Exp Brain Res       Date:  2005-09-17       Impact factor: 1.972

4.  Spatiotemporal structure of nonlinear subunits in macaque visual cortex.

Authors:  Christopher C Pack; Bevil R Conway; Richard T Born; Margaret S Livingstone
Journal:  J Neurosci       Date:  2006-01-18       Impact factor: 6.167

5.  Diverse speed response properties of motion sensitive neurons in the fly's optic lobe.

Authors:  John K Douglass; Nicholas J Strausfeld
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-11-15       Impact factor: 1.836

6.  Cortical pooling algorithms for judging global motion direction.

Authors:  Ben S Webb; Timothy Ledgeway; Paul V McGraw
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-20       Impact factor: 11.205

7.  Aging affects the neural representation of speed in Macaque area MT.

Authors:  Yun Yang; Jie Zhang; Zhen Liang; Guangxing Li; Yongchang Wang; Yuanye Ma; Yifeng Zhou; Audie G Leventhal
Journal:  Cereb Cortex       Date:  2008-11-26       Impact factor: 5.357

8.  Body orientation contributes to modelling the effects of gravity for target interception in humans.

Authors:  Barbara La Scaleia; Francesco Lacquaniti; Myrka Zago
Journal:  J Physiol       Date:  2019-02-06       Impact factor: 5.182

9.  Responses to random dot motion reveal prevalence of pattern-motion selectivity in area MT.

Authors:  Hironori Kumano; Takanori Uka
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

Review 10.  Velocity computation in the primate visual system.

Authors:  David C Bradley; Manu S Goyal
Journal:  Nat Rev Neurosci       Date:  2008-09       Impact factor: 34.870

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