Literature DB >> 3437330

The two-dimensional spatial structure of simple receptive fields in cat striate cortex.

J P Jones1, L A Palmer.   

Abstract

1. A reverse correlation (6, 8, 25, 35) method is developed that allows quantitative determination of visual receptive-field structure in two spatial dimensions. This method is applied to simple cells in the cat striate cortex. 2. It is demonstrated that the reverse correlation method yields results with several desirable properties, including convergence and reproducibility independent of modest changes in stimulus parameters. 3. In contrast to results obtained with moving stimuli, we find that the bright and dark excitatory subregions in simple receptive fields do not overlap to any great extent. This difference in results may be attributed to confounding the independent variables space and time when using moving stimuli. 4. All simple receptive fields have subregions that vary smoothly in all directions in space. There are no sharp transitions either between excitatory subregions or between subregions and the area surrounding the receptive field. 5. Simple receptive fields vary both in the number of subregions observed, in the elongation of each subregion, and in the overall elongation of the field. In contrast with results obtained using moving stimuli, we find that subregions within a given receptive field need not be the same length. 6. The hypothesis that simple receptive fields can be modeled as either even symmetric or odd symmetric about a central axis is evaluated. This hypothesis is found to be false in general. Most simple receptive fields are neither even symmetric nor odd symmetric. 7. The hypothesis that simple receptive fields can be modeled as the product of a width response profile and an orthogonal length response profile (Cartesian separability) is evaluated. This hypothesis is found to be true for only approximately 50% of the cells in our sample.

Mesh:

Year:  1987        PMID: 3437330     DOI: 10.1152/jn.1987.58.6.1187

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


  202 in total

1.  Asymmetric suppression outside the classical receptive field of the visual cortex.

Authors:  G A Walker; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  1999-12-01       Impact factor: 6.167

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.  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

4.  Modeling LGN responses during free-viewing: a possible role of microscopic eye movements in the refinement of cortical orientation selectivity.

Authors:  M Rucci; G M Edelman; J Wray
Journal:  J Neurosci       Date:  2000-06-15       Impact factor: 6.167

5.  Structured long-range connections can provide a scaffold for orientation maps.

Authors:  H Z Shouval; D H Goldberg; J P Jones; M Beckerman; L N Cooper
Journal:  J Neurosci       Date:  2000-02-01       Impact factor: 6.167

6.  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

7.  Statistics of lateral geniculate nucleus (LGN) activity determine the segregation of ON/OFF subfields for simple cells in visual cortex.

Authors:  A B Lee; B Blais; H Z Shouval; L N Cooper
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-07       Impact factor: 11.205

8.  Synaptic interactions between thalamic inputs to simple cells in cat visual cortex.

Authors:  W M Usrey; J M Alonso; R C Reid
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

9.  Spatial frequency and orientation tuning dynamics in area V1.

Authors:  James A Mazer; William E Vinje; Josh McDermott; Peter H Schiller; Jack L Gallant
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-29       Impact factor: 11.205

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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