Literature DB >> 26378205

Spatial phase sensitivity of complex cells in primary visual cortex depends on stimulus contrast.

H Meffin1, M A Hietanen1, S L Cloherty2, M R Ibbotson3.   

Abstract

Neurons in primary visual cortex are classified as simple, which are phase sensitive, or complex, which are significantly less phase sensitive. Previously, we have used drifting gratings to show that the phase sensitivity of complex cells increases at low contrast and after contrast adaptation while that of simple cells remains the same at all contrasts (Cloherty SL, Ibbotson MR. J Neurophysiol 113: 434-444, 2015; Crowder NA, van Kleef J, Dreher B, Ibbotson MR. J Neurophysiol 98: 1155-1166, 2007; van Kleef JP, Cloherty SL, Ibbotson MR. J Physiol 588: 3457-3470, 2010). However, drifting gratings confound the influence of spatial and temporal summation, so here we have stimulated complex cells with gratings that are spatially stationary but continuously reverse the polarity of the contrast over time (contrast-reversing gratings). By varying the spatial phase and contrast of the gratings we aimed to establish whether the contrast-dependent phase sensitivity of complex cells results from changes in spatial or temporal processing or both. We found that most of the increase in phase sensitivity at low contrasts could be attributed to changes in the spatial phase sensitivities of complex cells. However, at low contrasts the complex cells did not develop the spatiotemporal response characteristics of simple cells, in which paired response peaks occur 180° out of phase in time and space. Complex cells that increased their spatial phase sensitivity at low contrasts were significantly overrepresented in the supragranular layers of cortex. We conclude that complex cells in supragranular layers of cat cortex have dynamic spatial summation properties and that the mechanisms underlying complex cell receptive fields differ between cortical layers.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  area 17; cat cortex; complex cell; visual system

Mesh:

Year:  2015        PMID: 26378205      PMCID: PMC6712580          DOI: 10.1152/jn.00431.2015

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


  34 in total

1.  Contrast's effect on spatial summation by macaque V1 neurons.

Authors:  M P Sceniak; D L Ringach; M J Hawken; R Shapley
Journal:  Nat Neurosci       Date:  1999-08       Impact factor: 24.884

Review 2.  Neural mechanisms of orientation selectivity in the visual cortex.

Authors:  D Ferster; K D Miller
Journal:  Annu Rev Neurosci       Date:  2000       Impact factor: 12.449

3.  How simple cells are made in a nonlinear network model of the visual cortex.

Authors:  D J Wielaard; M Shelley; D McLaughlin; R Shapley
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

Review 4.  On the classification of simple and complex cells.

Authors:  Ferenc Mechler; Dario L Ringach
Journal:  Vision Res       Date:  2002-04       Impact factor: 1.886

5.  Contrast-dependent changes in spatial frequency tuning of macaque V1 neurons: effects of a changing receptive field size.

Authors:  Michael P Sceniak; Michael J Hawken; Robert Shapley
Journal:  J Neurophysiol       Date:  2002-09       Impact factor: 2.714

6.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Physiol       Date:  1962-01       Impact factor: 5.182

7.  The contribution of spike threshold to the dichotomy of cortical simple and complex cells.

Authors:  Nicholas J Priebe; Ferenc Mechler; Matteo Carandini; David Ferster
Journal:  Nat Neurosci       Date:  2004-08-29       Impact factor: 24.884

8.  Spatial overlap of ON and OFF subregions and its relation to response modulation ratio in macaque primary visual cortex.

Authors:  Mario L Mata; Dario L Ringach
Journal:  J Neurophysiol       Date:  2004-09-15       Impact factor: 2.714

9.  Neurons in V1, V2, and PMLS of cat cortex are speed tuned but not acceleration tuned: the influence of motion adaptation.

Authors:  N S C Price; N A Crowder; M A Hietanen; M R Ibbotson
Journal:  J Neurophysiol       Date:  2005-09-21       Impact factor: 2.714

10.  On the division of cortical cells into simple and complex types: a comparative viewpoint.

Authors:  M R Ibbotson; N S C Price; N A Crowder
Journal:  J Neurophysiol       Date:  2005-01-19       Impact factor: 2.714

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  5 in total

Review 1.  The divisive normalization model of V1 neurons: a comprehensive comparison of physiological data and model predictions.

Authors:  Tadamasa Sawada; Alexander A Petrov
Journal:  J Neurophysiol       Date:  2017-08-23       Impact factor: 2.714

2.  How Stimulus Statistics Affect the Receptive Fields of Cells in Primary Visual Cortex.

Authors:  Ali Almasi; Shi Hai Sun; Molis Yunzab; Young Jun Jung; Hamish Meffin; Michael R Ibbotson
Journal:  J Neurosci       Date:  2022-05-24       Impact factor: 6.709

3.  Synaptic Basis for Contrast-Dependent Shifts in Functional Identity in Mouse V1.

Authors:  Molis Yunzab; Veronica Choi; Hamish Meffin; Shaun L Cloherty; Nicholas J Priebe; Michael R Ibbotson
Journal:  eNeuro       Date:  2019-04-09

4.  Comparison of contrast-dependent phase sensitivity in primary visual cortex of mouse, cat and macaque.

Authors:  Molis Yunzab; Shaun L Cloherty; Michael R Ibbotson
Journal:  Neuroreport       Date:  2019-10-09       Impact factor: 1.837

5.  Learning receptive field properties of complex cells in V1.

Authors:  Yanbo Lian; Ali Almasi; David B Grayden; Tatiana Kameneva; Anthony N Burkitt; Hamish Meffin
Journal:  PLoS Comput Biol       Date:  2021-03-02       Impact factor: 4.475

  5 in total

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