Literature DB >> 722589

Spatial summation in the receptive fields of simple cells in the cat's striate cortex.

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

Abstract

1. We have examined the responses of simple cells in the cat's atriate cortex to visual patterns that were designed to reveal the extent to which these cells may be considered to sum light-evoked influences linearly across their receptive fields. We used one-dimensional luminance-modulated bars and grating as stimuli; their orientation was always the same as the preferred orientation of the neurone under study. The stimuli were presented on an oscilloscope screen by a digital computer, which also accumulated neuronal responses and controlled a randomized sequence of stimulus presentations. 2. The majority of simple cells respond to sinusoidal gratings that are moving or whose contrast is modulated in time in a manner consistent with the hypothesis that they have linear spatial summation. Their responses to moving gratings of all spatial frequencies are modulated in synchrony with the passage of the gratings' bars across their receptive fields, and they do not produce unmodulated responses even at the highest spatial frequencies. Many of these cells respond to temporally modulated stationary gratings simply by changing their response amplitude sinusoidally as the spatial phase of the grating the grating is varied. Nonetheless, their behavior appears to indicate linear spatial summation, since we show in an Appendix that the absence of a 'null' phase in a visual neurone need not indicate non-linear spatial summation, and further that a linear neurone lacking a 'null' phase should give responses of the form that we have observed in this type of simple cell. 3. A minority of simple cells appears to have significant non-linearities of spatial summation. These neurones respond to moving gratings of high spatial frequency with a partially or totally unmodulated elevation of firing rate. They have no 'null' phases when tested with stationary gratings, and reveal their non-linearity by giving responses to gratings of some spatial phases that are composed partly or wholly of even harmonics of the stimulus frequency ('on-off' responses). 4. We compared simple receptive fields with their sensitivity to sinusoidal gratings of different spatial frequencies. Qualitatively, the most sensitive subregions of simple cells' receptive fields are roughly the same width as the individual bars of the gratings to which they are most sensitive. Quantitatively, their receptive field profiles measured with thin stationary lines, agree well with predicted profiles derived by Fourier synthesis of their spatial frequency tuning curves.

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Mesh:

Year:  1978        PMID: 722589      PMCID: PMC1282765          DOI: 10.1113/jphysiol.1978.sp012488

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


  29 in total

1.  An approach to the quantitative analysis of electrophysiological data from single neurons.

Authors:  G L GERSTEIN; N Y KIANG
Journal:  Biophys J       Date:  1960-09       Impact factor: 4.033

2.  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

3.  Optical and photoelectric analog of the eye.

Authors:  O H SCHADE
Journal:  J Opt Soc Am       Date:  1956-09

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.  Proceedings: The use of a digital computer in the study of neuronal properties in the visual system.

Authors:  J A Movshon; D J Tolhurst
Journal:  J Physiol       Date:  1976-01       Impact factor: 5.182

6.  Reversal of the physiological effects of monocular deprivation in the kitten's visual cortex.

Authors:  J A Movshon
Journal:  J Physiol       Date:  1976-09       Impact factor: 5.182

7.  Linear and nonlinear spatial subunits in Y cat retinal ganglion cells.

Authors:  S Hochstein; R M Shapley
Journal:  J Physiol       Date:  1976-11       Impact factor: 5.182

8.  Quantitative analysis of retinal ganglion cell classifications.

Authors:  S Hochstein; R M Shapley
Journal:  J Physiol       Date:  1976-11       Impact factor: 5.182

9.  Spatial and temporal contrast sensitivity of neurones in areas 17 and 18 of the cat's visual cortex.

Authors:  J A Movshon; I D Thompson; D J Tolhurst
Journal:  J Physiol       Date:  1978-10       Impact factor: 5.182

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

Authors:  J A Movshon; I D Thompson; D J Tolhurst
Journal:  J Physiol       Date:  1978-10       Impact factor: 5.182

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  242 in total

1.  Direction selectivity and spatiotemporal separability in simple cortical cells.

Authors:  M A García-Pérez
Journal:  J Comput Neurosci       Date:  1999 Sep-Oct       Impact factor: 1.621

2.  The subregion correspondence model of binocular simple cells.

Authors:  E Erwin; K D Miller
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

3.  Contrast gain control in the visual cortex: monocular versus binocular mechanisms.

Authors:  A M Truchard; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  2000-04-15       Impact factor: 6.167

4.  Computational modeling of orientation tuning dynamics in monkey primary visual cortex.

Authors:  M C Pugh; D L Ringach; R Shapley; M J Shelley
Journal:  J Comput Neurosci       Date:  2000 Mar-Apr       Impact factor: 1.621

5.  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

6.  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

7.  Functional micro-organization of primary visual cortex: receptive field analysis of nearby neurons.

Authors:  G C DeAngelis; G M Ghose; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  1999-05-15       Impact factor: 6.167

8.  Spatial frequency maps in cat visual cortex.

Authors:  N P Issa; C Trepel; M P Stryker
Journal:  J Neurosci       Date:  2000-11-15       Impact factor: 6.167

9.  Development of response timing and direction selectivity in cat visual thalamus and cortex.

Authors:  Alan B Saul; Jordan C Feidler
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

10.  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

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