Literature DB >> 3770114

Space and spatial frequency: analysis and representation in the macaque striate cortex.

J J Kulikowski, T R Vidyasagar.   

Abstract

Simple cells in the macaque striate cortex were tested with bars, edges and gratings. Spatial frequency tuning curves could be predicted from the spatial profiles plotted with bars and edges and the bandwidth could be evaluated more accurately by computing the mean from measured and predicted tuning curves. The results suggest that the mean relative spatial frequency bandwidth (delta f/fo) is nearly constant and of a moderate value. But at each optimal spatial frequency, cells with different bandwidths (about a factor of two) were recorded. The shapes of spatial response profiles resemble the corresponding spatial and spatial frequency characteristics of line and edge detectors evaluated psychophysically. Among the remaining cell types, concentric cells tend to be tuned to lower spatial frequencies and have broader bandwidths, whereas periodic cells prefer higher spatial frequencies and have narrower bandwidths. Thus the mean relative bandwidth tends to decrease significantly with spatial frequency (as required by a system of patch-by-patch Fourier analysis) only when cells with poor orientation selectivity and the non-linear silent periodic cells are included along with the simple cells. Simple cells, on their own, seem to form a quasi-linear contrast processing system which is more biased towards spatial accuracy than spatial frequency selectivity.

Mesh:

Year:  1986        PMID: 3770114     DOI: 10.1007/bf00238196

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


  36 in total

1.  Early processing of visual information.

Authors:  D Marr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1976-10-19       Impact factor: 6.237

2.  Receptive fields and functional architecture of monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

3.  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

4.  On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images.

Authors:  C Blakemore; F W Campbell
Journal:  J Physiol       Date:  1969-07       Impact factor: 5.182

5.  On the variety of spatial frequency selectivities shown by neurons in area 17 of the cat.

Authors:  D J Tolhurst; I D Thompson
Journal:  Proc R Soc Lond B Biol Sci       Date:  1981-10-14

6.  Spatial summation in the receptive field of simple cells in the cat striate cortex.

Authors:  P Heggelund; S Krekling; B C Skottun
Journal:  Exp Brain Res       Date:  1983       Impact factor: 1.972

7.  Influence of luminance gradient reversal on simple cells in feline striate cortex.

Authors:  P Hammond; D M MacKay
Journal:  J Physiol       Date:  1983-04       Impact factor: 5.182

8.  Spatial periodicities of periodic complex cells in the visual cortex cluster at one-half octave intervals.

Authors:  D A Pollen; S E Feldon
Journal:  Invest Ophthalmol Vis Sci       Date:  1979-04       Impact factor: 4.799

9.  Linear analysis of the responses of simple cells in the cat visual cortex.

Authors:  J J Kulikowski; P O Bishop
Journal:  Exp Brain Res       Date:  1981       Impact factor: 1.972

10.  Phase relationships between adjacent simple cells in the visual cortex.

Authors:  D A Pollen; S F Ronner
Journal:  Science       Date:  1981-06-19       Impact factor: 47.728

View more
  5 in total

1.  Scalp VEPs and intra-cortical responses to chromatic and achromatic stimuli in primates.

Authors:  J J Kulikowski; A G Robson; I J Murray
Journal:  Doc Ophthalmol       Date:  2002-09       Impact factor: 2.379

2.  A model of striate response properties based on geniculate anisotropies.

Authors:  T R Vidyasagar
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

Review 3.  The divisive normalization model of V1 neurons: a comprehensive comparison of physiological data and model predictions.

Authors:  Tadamasa Sawada; Alexander A Petrov
Journal:  J Neurophysiol       Date:  2017-08-23       Impact factor: 2.714

4.  Selectivity and sparseness in the responses of striate complex cells.

Authors:  Sidney R Lehky; Terrence J Sejnowski; Robert Desimone
Journal:  Vision Res       Date:  2005-01       Impact factor: 1.886

5.  Scale-invariance of receptive field properties in primary visual cortex.

Authors:  Tobias Teichert; Thomas Wachtler; Frank Michler; Alexander Gail; Reinhard Eckhorn
Journal:  BMC Neurosci       Date:  2007-06-11       Impact factor: 3.288

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.