Literature DB >> 3998809

A complex-cell receptive-field model.

H Spitzer, S Hochstein.   

Abstract

The time course of the response of a single cortical neuron to counterphase-grating stimulation may vary as a function of stimulation parameters, as shown in the preceding paper (19). The poststimulus-time histograms of the response amplitudes against time are single or double peaked, and where double peaked, the two peaks are of equal or unequal amplitudes. Furthermore, the spatial-phase dependence of cortical complex-cell responses may be a function of spatial frequency, so that the receptive field appears to have linear spatial summation at some spatial frequencies and nonlinear spatial summation at others (19). In the first part of this paper, we analyze a model receptive field that displays this behavior, and in the second part experimental data are presented and analyzed with regard to the model. The model cortical receptive field in its simplest form contains (two rows) of geniculate X-cell-like, DOG (difference-of-Gaussians)-shaped, center-surround antagonistic, circular-input subunits. We propose nonlinear summation between these two subunits, by introducing a half-wave rectification stage before pooling. The model is tested for the responses it predicts for the application of counterphase-grating stimulation. This simple model predicts the appearance of three response forms as a function of counterphase-stimulation parameters. At periodic spatial frequencies the expected-response histogram has a single peak, whose amplitude has a sinusoidal dependence on spatial phase. At spatial frequencies halfway between these, the expected-response histogram has two equal peaks whose amplitudes have a full-wave rectified sinusoidal dependence on spatial phase. At all intermediate spatial frequencies the expected-response histogram has a "mixed" form; the histogram appears sometimes with one peak, sometimes with two equal peaks, and generally with two peaks of unequal amplitude, as a function of spatial phase. Null responses are expected to appear at specific spatial phases only for the periodic spatial frequencies that give "pure" response time courses as in paragraph 5 above, and not in the more common mixed response case of paragraph 6. The analysis procedure described in the preceding paper (19) is used, separating the odd and even Fourier components of the response histograms reflecting the receptive-field intrasubunit linear summation and intersubunit nonlinear summation, respectively. We propose that this model may be used as a working hypothesis for the analysis of these aspects of the various cortical receptive-field types. Experimental data are described and discussed in terms of the model.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1985        PMID: 3998809     DOI: 10.1152/jn.1985.53.5.1266

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


  15 in total

Review 1.  Complex receptive fields in primary visual cortex.

Authors:  Luis M Martinez; Jose-Manuel Alonso
Journal:  Neuroscientist       Date:  2003-10       Impact factor: 7.519

Review 2.  Mapping receptive fields in primary visual cortex.

Authors:  Dario L Ringach
Journal:  J Physiol       Date:  2004-05-21       Impact factor: 5.182

Review 3.  Why do parallel cortical systems exist for the perception of static form and moving form?

Authors:  S Grossberg
Journal:  Percept Psychophys       Date:  1991-02

4.  Neural dynamics of 1-D and 2-D brightness perception: a unified model of classical and recent phenomena.

Authors:  S Grossberg; D Todorović
Journal:  Percept Psychophys       Date:  1988-03

5.  Contrast and spatial variables in texture segregation: testing a simple spatial-frequency channels model.

Authors:  A Sutter; J Beck; N Graham
Journal:  Percept Psychophys       Date:  1989-10

6.  Isolation of components due to intracortical processing in the visual evoked potential.

Authors:  J D Victor
Journal:  Proc Natl Acad Sci U S A       Date:  1986-10       Impact factor: 11.205

7.  Diversity of complex cell responses to even- and odd-symmetric luminance profiles in the visual cortex of the cat.

Authors:  J P Gaska; D A Pollen; P Cavanagh
Journal:  Exp Brain Res       Date:  1987       Impact factor: 1.972

8.  Cortical dynamics of three-dimensional form, color, and brightness perception: I. Monocular theory.

Authors:  S Grossberg
Journal:  Percept Psychophys       Date:  1987-02

Review 9.  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

10.  Dendritic spikes amplify the synaptic signal to enhance detection of motion in a simulation of the direction-selective ganglion cell.

Authors:  Michael J Schachter; Nicholas Oesch; Robert G Smith; W Rowland Taylor
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

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