Literature DB >> 7097587

Correlation between the preferred orientation and spatial frequency of neurones in visual areas 17 and 18 of the cat.

N Berardi, S Bisti, A Cattaneo, A Fiorentini, L Maffei.   

Abstract

1. In seventy-six penetrations through areas 17 and 18 of the cat, neurones were regularly sampled at intervals of 100 micrometers and preferred orientation, optimal spatial frequency and resolving power were determined for each neurone in response to drifting sinusoidal gratings. 2. As already shown for area 17, in tangential penetrations through area 18, whenever the preferred orientation rotates progressively from cell to cell, the optimal spatial frequency tends to remain constant. 3. A statistical analysis on 1574 cells in areas 17 and 18 showed that for pairs of cells separated 200-300 micrometers along a track the difference in preferred orientation delta alpha and the difference in optimal spatial frequency delta f are not randomly distributed: cell pairs with small delta alpha are most likely to have large delta f and vice versa. 4. These findings indicate that in areas 17 and 18 neurones with the same optimal frequency are aligned along a direction orthogonal to the orientation columns. 5. The optimal spatial frequency, resolving power and the velocity cut-off were averaged for cells from different penetrations located in the same cortical layer or sublayer of area 18: mean optimal spatial frequency and acuity are highest in layer IV and lowest in layers II and V, while the velocity cut-off is highest in layers II and V and lowest in layer IV. 6. Our data suggest that the layering of cells according to optimal spatial frequency is a more subtle subdivision than the six histological layers.

Mesh:

Year:  1982        PMID: 7097587      PMCID: PMC1250378          DOI: 10.1113/jphysiol.1982.sp014094

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


  10 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.  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.  A quantitative study of the projection area of the central and the paracentral visual field in area 17 of the cat. II. The spatial organization of the orientation domain.

Authors:  K Albus
Journal:  Exp Brain Res       Date:  1975-12-22       Impact factor: 1.972

4.  Laminar differences in receptive field properties of cells in cat primary visual cortex.

Authors:  C D Gilbert
Journal:  J Physiol       Date:  1977-06       Impact factor: 5.182

5.  Spatial frequency rows in the straite visual cortex.

Authors:  L Maffei; A Fiorentini
Journal:  Vision Res       Date:  1977-02       Impact factor: 1.886

6.  Sequence regularity and geometry of orientation columns in the monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Comp Neurol       Date:  1974-12-01       Impact factor: 3.215

7.  An improved method for plotting retinal landmarks and focusing the eyes.

Authors:  R Fernald; R Chase
Journal:  Vision Res       Date:  1971-01       Impact factor: 1.886

8.  Response to movement of neurons in areas 17 and 18 of the cat: velocity sensitivity.

Authors:  G A Orban; H Kennedy; H Maes
Journal:  J Neurophysiol       Date:  1981-06       Impact factor: 2.714

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.  14C-deoxyglucose mapping of orientation subunits in the cats visual cortical areas.

Authors:  K Albus
Journal:  Exp Brain Res       Date:  1979       Impact factor: 1.972

  10 in total
  19 in total

1.  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

2.  Topographic reorganization in area 18 of adult cats following circumscribed monocular retinal lesions in adolescence.

Authors:  J M Young; W J Waleszczyk; W Burke; M B Calford; B Dreher
Journal:  J Physiol       Date:  2002-06-01       Impact factor: 5.182

3.  Functional organization of temporal frequency selectivity in primate visual cortex.

Authors:  Ilya Khaytin; Xin Chen; David W Royal; Octavio Ruiz; Walter J Jermakowicz; Ralph M Siegel; Vivien A Casagrande
Journal:  Cereb Cortex       Date:  2007-12-03       Impact factor: 5.357

4.  Spatial frequency tuning of single units in macaque supragranular striate cortex.

Authors:  R T Born; R B Tootell
Journal:  Proc Natl Acad Sci U S A       Date:  1991-08-15       Impact factor: 11.205

5.  Binocular phase specificity of striate cortical neurones.

Authors:  P Hammond
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

6.  Beyond Rehabilitation of Acuity, Ocular Alignment, and Binocularity in Infantile Strabismus.

Authors:  Chantal Milleret; Emmanuel Bui Quoc
Journal:  Front Syst Neurosci       Date:  2018-07-18

7.  The organization of receptive fields in area 18 neurones of the cat varies with the spatio-temporal characteristics of the visual stimulus.

Authors:  L Galli; L Chalupa; L Maffei; S Bisti
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

8.  Binocular suppression in cortical neurons.

Authors:  N Berardi; L Galli; L Maffei; R Siliprandi
Journal:  Exp Brain Res       Date:  1986       Impact factor: 1.972

9.  The transfer of visual information across the corpus callosum: spatial and temporal properties in the cat.

Authors:  N Berardi; S Bisti; L Maffei
Journal:  J Physiol       Date:  1987-03       Impact factor: 5.182

10.  Spatial frequency thresholds of single striate cortical cells in neonatal corpus callosum sectioned cats.

Authors:  A J Elberger
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

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