Literature DB >> 680042

Spatial summation of responses in receptive fields of single cells in cat striate cortex.

G H Henry, A W Goodwin, P O Bishop.   

Abstract

Spatial summation of responses in striate neurons in cats under N2O/O2 anaesthesia was examined quantitatively both along the line of the optimal stimulus orientation (length summation) using moving light bars and single light and dark edge stimuli, and at right angles to the optimal orientation (width summation) using stationary flashing bars. Activity profiles and length-response curves were prepared from simple, complex and hypercomplex I and II cells. An activity profile indicates the responsiveness of a cell at locations along the length of its receptive field. The activity profiles from all cell types were usually well fitted by Gaussian functions. Length summation occurs both in end-free (simple and complex) and, to a lesser extent, in end-stopped (hypercomplex I and II) cells over a wide range of stimulus contrasts (0.13 to 0.95). The linearity of length summation was tested either by comparing the recorded length-response curves with the curves predicted from the linear integration of the activity profiles or by comparing the response to the activation of two regions of the receptive field with the sum of the responses to each region activated separately. Although length summation was usually non-linear (either greater than or less than direct proportionality) it was more nearly linear in complex than it was in simple and hypercomplex I cells. Mechanisms responsible for non-linear length summation were studied, including a threshold for discharge, response saturation and summation of end-zone inhibition. Complex cells show little width summation for bars wider than 0.3 degrees. In simple and hypercomplex I cells there was also relatively little width summation either in an ON or an OFF discharge region at contrasts above about 0.4 but at lower contrasts width summation may be apporximately linear. Spatial summation of responses does not appear to be a useful characteristic for distinguishing one striate cell type from another.

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Year:  1978        PMID: 680042     DOI: 10.1007/BF00239730

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  22 in total

1.  RECEPTIVE FIELDS AND FUNCTIONAL ARCHITECTURE IN TWO NONSTRIATE VISUAL AREAS (18 AND 19) OF THE CAT.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Neurophysiol       Date:  1965-03       Impact factor: 2.714

2.  Direction selectivity of simple striate cells: properties and mechanism.

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

3.  Responses of complex cells in the visual cortex of the cat as a function of the length of moving slits.

Authors:  I G Bodis-Wollner; D A Pollen; S F Ronner
Journal:  Brain Res       Date:  1976-11-05       Impact factor: 3.252

4.  Quantitative analysis of retinal ganglion cell classifications.

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

5.  Orientation specificity and response variability of cells in the striate cortex.

Authors:  G H Henry; P O Bishop; R M Tupper; B Dreher
Journal:  Vision Res       Date:  1973-09       Impact factor: 1.886

6.  Hypercomplex cells in the cat's striate cortex.

Authors:  B Dreher
Journal:  Invest Ophthalmol       Date:  1972-05

7.  Responses to visual contours: spatio-temporal aspects of excitation in the receptive fields of simple striate neurones.

Authors:  P O Bishop; J S Coombs; G H Henry
Journal:  J Physiol       Date:  1971-12       Impact factor: 5.182

8.  Interaction effects of visual contours on the discharge frequency of simple striate neurones.

Authors:  P O Bishop; J S Coombs; G H Henry
Journal:  J Physiol       Date:  1971-12       Impact factor: 5.182

9.  Quantitative aspects of sensitivity and summation in the cat retina.

Authors:  B G Cleland; C Enroth-cugell
Journal:  J Physiol       Date:  1968-09       Impact factor: 5.182

10.  Quantitative studies of single-cell properties in monkey striate cortex. I. Spatiotemporal organization of receptive fields.

Authors:  P H Schiller; B L Finlay; S F Volman
Journal:  J Neurophysiol       Date:  1976-11       Impact factor: 2.714

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  31 in total

1.  Dynamics of spatial summation in primary visual cortex of alert monkeys.

Authors:  M K Kapadia; G Westheimer; C D Gilbert
Journal:  Proc Natl Acad Sci U S A       Date:  1999-10-12       Impact factor: 11.205

2.  Spatial summation in lateral geniculate nucleus and visual cortex.

Authors:  H E Jones; I M Andolina; N M Oakely; P C Murphy; A M Sillito
Journal:  Exp Brain Res       Date:  2000-11       Impact factor: 1.972

3.  Responses of macaque V1 neurons to binocular orientation differences.

Authors:  H Bridge; B G Cumming
Journal:  J Neurosci       Date:  2001-09-15       Impact factor: 6.167

4.  Oriented axon projections in primary visual cortex of the monkey.

Authors:  L C Sincich; G G Blasdel
Journal:  J Neurosci       Date:  2001-06-15       Impact factor: 6.167

5.  Coding of border ownership in monkey visual cortex.

Authors:  H Zhou; H S Friedman; R von der Heydt
Journal:  J Neurosci       Date:  2000-09-01       Impact factor: 6.167

6.  Response characteristics of the cells of cortical area 21a of the cat with special reference to orientation specificity.

Authors:  B M Wimborne; G H Henry
Journal:  J Physiol       Date:  1992-04       Impact factor: 5.182

7.  Texture discrimination by cells in the cat lateral geniculate nucleus.

Authors:  H C Nothdurft
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

8.  The length summation properties of layer VI cells in the visual cortex and hypercomplex cell end zone inhibition.

Authors:  K L Grieve; A M Sillito
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

9.  The length-response properties of cells in the feline dorsal lateral geniculate nucleus.

Authors:  H E Jones; A M Sillito
Journal:  J Physiol       Date:  1991-12       Impact factor: 5.182

10.  Symbolic grouping versus simple cell models.

Authors:  A Brookes; K A Stevens
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

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