Literature DB >> 18831637

Spatial integration by MT pattern neurons: a closer look at pattern-to-component effects and the role of speed tuning.

John A Perrone1, Richard J Krauzlis.   

Abstract

The primate visual system faces a difficult problem whenever it encounters the motion of an object moving over a patch of the retina. Objects typically contain a number of edges at different orientations and so a range of image velocities are generated within the receptive field of a neuron processing the object movement. It is still a mystery as to how these different velocities are combined into one unified and correct velocity. Neurons in area MT (V5) are considered to be the neural substrate for this motion integration process. Some MT neurons (pattern type) respond selectively to the correct global motion of an object, whereas others respond primarily to the individual components making up the pattern (component type). Recent findings from MT pattern cells tested with small patches of motion (N. J. Majaj, M. Carandini, & J. A. Movshon, 2007) have put further constraints on the possible mechanisms underlying MT pattern motion integration. We tested and refined an existing model of MT pattern neurons (J. A. Perrone, 2004) using these same small patch stimuli and found that it can accommodate these new findings. We also discovered that the speed of the test stimuli may have had an impact on the N. J. Majaj et al. (2007) results and that MT direction and speed tuning may be more closely linked than previously thought.

Mesh:

Year:  2008        PMID: 18831637     DOI: 10.1167/8.9.1

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  9 in total

1.  Hierarchical processing of complex motion along the primate dorsal visual pathway.

Authors:  Patrick J Mineault; Farhan A Khawaja; Daniel A Butts; Christopher C Pack
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-31       Impact factor: 11.205

2.  Properties of pattern and component direction-selective cells in area MT of the macaque.

Authors:  Helena X Wang; J Anthony Movshon
Journal:  J Neurophysiol       Date:  2015-11-11       Impact factor: 2.714

3.  A Motion-from-Form Mechanism Contributes to Extracting Pattern Motion from Plaids.

Authors:  Christian Quaia; Lance M Optican; Bruce G Cumming
Journal:  J Neurosci       Date:  2016-04-06       Impact factor: 6.167

4.  Combining feature selection and integration--a neural model for MT motion selectivity.

Authors:  Cornelia Beck; Heiko Neumann
Journal:  PLoS One       Date:  2011-07-21       Impact factor: 3.240

Review 5.  Area V5-a microcosm of the visual brain.

Authors:  Semir Zeki
Journal:  Front Integr Neurosci       Date:  2015-04-01

6.  Pattern Motion Processing by MT Neurons.

Authors:  Parvin Zarei Eskikand; Tatiana Kameneva; Anthony N Burkitt; David B Grayden; Michael R Ibbotson
Journal:  Front Neural Circuits       Date:  2019-06-21       Impact factor: 3.492

7.  A Computational Mechanism for Seeing Dynamic Deformation.

Authors:  Takahiro Kawabe; Masataka Sawayama
Journal:  eNeuro       Date:  2020-04-24

8.  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

9.  Recurrent network dynamics reconciles visual motion segmentation and integration.

Authors:  N V Kartheek Medathati; James Rankin; Andrew I Meso; Pierre Kornprobst; Guillaume S Masson
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

  9 in total

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