Literature DB >> 23357120

Phase sensitivity of complex cells in primary visual cortex.

M A Hietanen1, S L Cloherty, J P van Kleef, C Wang, B Dreher, M R Ibbotson.   

Abstract

Neurons in the primary visual cortex are often classified as either simple or complex based on the linearity (or otherwise) of their response to spatial luminance contrast. In practice, classification is typically based on Fourier analysis of a cell's response to an optimal drifting sine-wave grating. Simple cells are generally considered to be linear and produce responses modulated at the fundamental frequency of the stimulus grating. In contrast, complex cells exhibit significant nonlinearities that reduce the response at the fundamental frequency. Cells can therefore be easily and objectively classified based on the relative modulation of their responses - the ratio of the phase-sensitive response at the fundamental frequency of the stimulus (F₁) to the phase-invariant sustained response (F₀). Cells are classified as simple if F₁/F₀>1 and complex if F₁/F₀<1. This classification is broadly consistent with criteria based on the spatial organisation of cells' receptive fields and is accordingly presumed to reflect disparate functional roles of simple and complex cells in coding visual information. However, Fourier analysis of spiking responses is sensitive to the number of spikes available - F₁/F₀ increases as the number of spikes is reduced, even for phase-invariant complex cells. Moreover, many complex cells encountered in the laboratory exhibit some phase sensitivity, evident as modulation of their responses at the fundamental frequency. There currently exists no objective quantitative means of assessing the significance or otherwise of these modulations. Here we derive a statistical basis for objectively assessing whether the modulation of neuronal responses is reliable, thereby adding a level of statistical certainty to measures of phase sensitivity. We apply our statistical analysis to neuronal responses to moving sine-wave gratings recorded from 367 cells in cat primary visual cortex. We find that approximately 60% of complex cells exhibit statistically significant (α<0.01) modulation of their responses to optimal moving gratings. These complex cells are phase sensitive and reliably encode spatial phase.
Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 23357120     DOI: 10.1016/j.neuroscience.2013.01.030

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  10 in total

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

Authors:  H Meffin; M A Hietanen; S L Cloherty; M R Ibbotson
Journal:  J Neurophysiol       Date:  2015-09-16       Impact factor: 2.714

2.  Functional characterization of spikelet activity in the primary visual cortex.

Authors:  Benjamin Scholl; Sari Andoni; Nicholas J Priebe
Journal:  J Physiol       Date:  2015-10-02       Impact factor: 5.182

3.  Neural coding of image structure and contrast polarity of Cartesian, hyperbolic, and polar gratings in the primary and secondary visual cortex of the tree shrew.

Authors:  Jordan Poirot; Paolo De Luna; Gregor Rainer
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

Review 4.  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

5.  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

6.  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

7.  On the role of spatial phase and phase correlation in vision, illusion, and cognition.

Authors:  Evgeny Gladilin; Roland Eils
Journal:  Front Comput Neurosci       Date:  2015-04-21       Impact factor: 2.380

8.  Spatiotemporal specificity of contrast adaptation in mouse primary visual cortex.

Authors:  Emily E LeDue; Jillian L King; Kurt R Stover; Nathan A Crowder
Journal:  Front Neural Circuits       Date:  2013-10-03       Impact factor: 3.492

9.  Slow feature analysis on retinal waves leads to V1 complex cells.

Authors:  Sven Dähne; Niko Wilbert; Laurenz Wiskott
Journal:  PLoS Comput Biol       Date:  2014-05-08       Impact factor: 4.475

10.  Spectral characteristics of phase sensitivity and discharge rate of neurons in the ascending tectofugal visual system.

Authors:  Marek Wypych; Attila Nagy; Gabriela Mochol; Andrzej Foik; György Benedek; Wioletta J Waleszczyk
Journal:  PLoS One       Date:  2014-08-01       Impact factor: 3.240

  10 in total

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