Literature DB >> 722592

Receptive field organization of complex cells in the cat's striate cortex.

J A Movshon, I D Thompson, D J Tolhurst.   

Abstract

1. All complex cells in the cat's striate cortex exhibit gross non-linearities of spatial summation when tested with sinusoidal grating stimuli. Their responses to moving gratings of all but the lowest spatial frequencies are usually dominated by a component that is not modulated by the passage of the bars of the grating across the receptive field. They give responses to temporally modulated stationary gratings that consist mostly of even harmonics of the stimulus frequency and that vary little in amplitude or wave form as the spatial phase of the grating is varied. 2. We compared complex cells' receptive fields with their sensitivity to sinusoidal gratings of different spatial frequencies. Qualitatively, the receptive fields are usually two to five times wider than the bars of the gratings that stimulate them most effectively. Quantitatively, the receptive field profiles of complex cells are invariably broader than those predicted by Fourier synthesis of their spatial frequency tuning curves, and in particular lack predicted spatially antagonistic regions. 3. We further examined the receptive field organization of these cells, using pairs of stationary lines flashed synchronously on their receptive fields. If both lines are of the same polarity (bright or dark), complex cells respond to the paired stimulus much less well than they do to either of its component bars, unless the bars are separated by less than about one quarter of the width of the receptive field. If the lines are of opposite polarity, one bright and one dark, the opposite situation obtains: closely spaced bars elicit small responses, while paired bars of larger separation are much more effective. In either case, the results are independent in general character of the absolute positions of the stimuli within the receptive field; rather, they depend in a manner characteristic of each cell on the relative positions of the two bars. 4. The two-line interaction profile that plots the change in a complex cell's response to one bar as a function of the position of a second added bar corresponds closely to the receptive field profile predicted from Fourier synthesis of the cell's spatial frequency tuning curve. These profiles may thus reveal the spatial characteristics of subunits within complex cell-receptive fields. We examined the nature of the interaction between these subunits by performing several two-line interaction experiments in which the onset of the second bar was delayed some time after the onset of the first. The results suggest that neighbouring subunits interact in a facilitatory fashion: for an interval after the presentation of one bar, responses to neighbouring bars are enhanced. 5. The subunits of a complex receptive field may, by their spatial properties, determine the spatial selectivities of complex cells, while the nature of the interaction among the subunits may determine these cells' sensitivity and selectivity for moving visual stimuli...

Mesh:

Year:  1978        PMID: 722592      PMCID: PMC1282766          DOI: 10.1113/jphysiol.1978.sp012489

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  24 in total

1.  Directionally sensitive ganglion cells in the rabbit retina: specificity for stimulus direction, size, and speed.

Authors:  H J Wyatt; N W Daw
Journal:  J Neurophysiol       Date:  1975-05       Impact factor: 2.714

2.  Visual spatial summation in two classes of geniculate cells.

Authors:  R Shapley; S Hochstein
Journal:  Nature       Date:  1975-07-31       Impact factor: 49.962

3.  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

4.  The contrast sensitivity of retinal ganglion cells of the cat.

Authors:  C Enroth-Cugell; J G Robson
Journal:  J Physiol       Date:  1966-12       Impact factor: 5.182

5.  Direction selectivity of complex cells in a comparison with simple cells.

Authors:  A W Goodwin; G H Henry
Journal:  J Neurophysiol       Date:  1975-11       Impact factor: 2.714

6.  Orientation, axis and direction as stimulus parameters for striate cells.

Authors:  G H Henry; P O Bishop; B Dreher
Journal:  Vision Res       Date:  1974-09       Impact factor: 1.886

7.  Binocular single vision and depth discrimination. Receptive field disparities for central and peripheral vision and binocular interaction on peripheral single units in cat striate cortex.

Authors:  D E Joshua; P O Bishop
Journal:  Exp Brain Res       Date:  1970       Impact factor: 1.972

8.  Binocular interaction on single units in cat striate cortex: simultaneous stimulation by single moving slit with receptive fields in correspondence.

Authors:  J D Pettigrew; T Nikara; P O Bishop
Journal:  Exp Brain Res       Date:  1968       Impact factor: 1.972

9.  A model of the human visual system in its response to certain classes of moving stimuli.

Authors:  D H Foster
Journal:  Kybernetik       Date:  1971-02

10.  Recovery of function in cat visual cortex following prolonged deprivation.

Authors:  M Cynader; N Berman; A Hein
Journal:  Exp Brain Res       Date:  1976-05-28       Impact factor: 1.972

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  153 in total

1.  Parametric population representation of retinal location: neuronal interaction dynamics in cat primary visual cortex.

Authors:  D Jancke; W Erlhagen; H R Dinse; A C Akhavan; M Giese; A Steinhage; G Schöner
Journal:  J Neurosci       Date:  1999-10-15       Impact factor: 6.167

2.  Membrane potential and firing rate in cat primary visual cortex.

Authors:  M Carandini; D Ferster
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

3.  Specific roles of NMDA and AMPA receptors in direction-selective and spatial phase-selective responses in visual cortex.

Authors:  C Rivadulla; J Sharma; M Sur
Journal:  J Neurosci       Date:  2001-03-01       Impact factor: 6.167

4.  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

5.  Synaptic physiology of the flow of information in the cat's visual cortex in vivo.

Authors:  Judith A Hirsch; Luis M Martinez; José-Manuel Alonso; Komal Desai; Cinthi Pillai; Carhine Pierre
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

6.  Laminar processing of stimulus orientation in cat visual cortex.

Authors:  Luis M Martinez; José-Manuel Alonso; R Clay Reid; Judith A Hirsch
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

7.  The empirical characteristics of human pattern vision defy theoretically-driven expectations.

Authors:  Peter Neri
Journal:  PLoS Comput Biol       Date:  2018-12-04       Impact factor: 4.475

8.  Computational subunits of visual cortical neurons revealed by artificial neural networks.

Authors:  Brian Lau; Garrett B Stanley; Yang Dan
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

9.  Substructure of direction-selective receptive fields in macaque V1.

Authors:  Margaret S Livingstone; Bevil R Conway
Journal:  J Neurophysiol       Date:  2003-05       Impact factor: 2.714

10.  Space-time maps and two-bar interactions of different classes of direction-selective cells in macaque V-1.

Authors:  Bevil R Conway; Margaret S Livingstone
Journal:  J Neurophysiol       Date:  2003-05       Impact factor: 2.714

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