Literature DB >> 27193321

Subspace mapping of the three-dimensional spectral receptive field of macaque MT neurons.

Mikio Inagaki1, Kota S Sasaki1, Hajime Hashimoto2, Izumi Ohzawa3.   

Abstract

Neurons in the middle temporal (MT) visual area are thought to represent the velocity (direction and speed) of motion. Previous studies suggest the importance of both excitation and suppression for creating velocity representation in MT; however, details of the organization of excitation and suppression at the MT stage are not understood fully. In this article, we examine how excitatory and suppressive inputs are pooled in individual MT neurons by measuring their receptive fields in a three-dimensional (3-D) spatiotemporal frequency domain. We recorded the activity of single MT neurons from anesthetized macaque monkeys. To achieve both quality and resolution of the receptive field estimations, we applied a subspace reverse correlation technique in which a stimulus sequence of superimposed multiple drifting gratings was cross-correlated with the spiking activity of neurons. Excitatory responses tended to be organized in a manner representing a specific velocity independent of the spatial pattern of the stimuli. Conversely, suppressive responses tended to be distributed broadly over the 3-D frequency domain, supporting a hypothesis of response normalization. Despite the nonspecific distributed profile, the total summed strength of suppression was comparable to that of excitation in many MT neurons. Furthermore, suppressive responses reduced the bandwidth of velocity tuning, indicating that suppression improves the reliability of velocity representation. Our results suggest that both well-organized excitatory inputs and broad suppressive inputs contribute significantly to the invariant and reliable representation of velocity in MT.
Copyright © 2016 the American Physiological Society.

Keywords:  motion; reverse correlation; spatiotemporal frequency; suppression; velocity

Mesh:

Year:  2016        PMID: 27193321      PMCID: PMC4992734          DOI: 10.1152/jn.00934.2015

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


  32 in total

1.  Dynamics of spatial frequency tuning in macaque V1.

Authors:  C E Bredfeldt; D L Ringach
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

2.  Contribution of middle temporal area to coarse depth discrimination: comparison of neuronal and psychophysical sensitivity.

Authors:  Takanori Uka; Gregory C DeAngelis
Journal:  J Neurosci       Date:  2003-04-15       Impact factor: 6.167

3.  Accuracy of subspace mapping of spatiotemporal frequency domain visual receptive fields.

Authors:  Shinji Nishimoto; Miki Arai; Izumi Ohzawa
Journal:  J Neurophysiol       Date:  2005-01-12       Impact factor: 2.714

4.  Dynamics of orientation tuning in macaque primary visual cortex.

Authors:  D L Ringach; M J Hawken; R Shapley
Journal:  Nature       Date:  1997-05-15       Impact factor: 49.962

5.  Direction and orientation selectivity of neurons in visual area MT of the macaque.

Authors:  T D Albright
Journal:  J Neurophysiol       Date:  1984-12       Impact factor: 2.714

6.  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

7.  Model of human visual-motion sensing.

Authors:  A B Watson; A J Ahumada
Journal:  J Opt Soc Am A       Date:  1985-02       Impact factor: 2.129

Review 8.  Normalization as a canonical neural computation.

Authors:  Matteo Carandini; David J Heeger
Journal:  Nat Rev Neurosci       Date:  2011-11-23       Impact factor: 34.870

9.  Integration of Multiple Spatial Frequency Channels in Disparity-Sensitive Neurons in the Primary Visual Cortex.

Authors:  Mika Baba; Kota S Sasaki; Izumi Ohzawa
Journal:  J Neurosci       Date:  2015-07-08       Impact factor: 6.167

10.  Inhibition dominates sensory responses in the awake cortex.

Authors:  Bilal Haider; Michael Häusser; Matteo Carandini
Journal:  Nature       Date:  2012-11-21       Impact factor: 49.962

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  2 in total

1.  Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions.

Authors:  Andrew Isaac Meso; Nikos Gekas; Pascal Mamassian; Guillaume S Masson
Journal:  eNeuro       Date:  2022-05-13

2.  Compound Stimuli Reveal the Structure of Visual Motion Selectivity in Macaque MT Neurons.

Authors:  Andrew D Zaharia; Robbe L T Goris; J Anthony Movshon; Eero P Simoncelli
Journal:  eNeuro       Date:  2019-11-15
  2 in total

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