Literature DB >> 3435723

Quantitative determination of orientational and directional components in the response of visual cortical cells to moving stimuli.

F Wörgötter1, U T Eysel.   

Abstract

The response characteristic of visual cortical cells to moving oriented stimuli consists mainly of directional (D) and orientational (O) components superimposed to a spontaneous activity (S). Commonly used polar plot diagrams reflect the maximal responses for different orientations and directions of stimulus movement with a periodicity of 360 degrees in the visual field. Fast Fourier analysis (FFT) is applied to polar plot data in order to determine the intermingled S, D, and O components. The zero order gain component of the spectrum corresponds to a (virtual) spontaneous activity. The first order component is interpreted as the strength of the direction selectivity and the second order component as the strength of the orientation specificity. The axes of the preferred direction and optimal orientation are represented by the respective phase values. Experimental data are well described with these parameters and relative changes of the shape of a polar plot can be detected with an accuracy better than 1%. The results are compatible with a model of converging excitatory and inhibitory inputs weighted according to the zero to second order components of the Fourier analysis. The easily performed quantitative determination of the S, D, and O components allows the study of pharmacologically induced changes in the dynamic response characteristics of single visual cortical cells.

Mesh:

Year:  1987        PMID: 3435723     DOI: 10.1007/BF00354980

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  19 in total

1.  Receptive field classes of cells in the striate cortex of the cat.

Authors:  G H Henry
Journal:  Brain Res       Date:  1977-09-09       Impact factor: 3.252

2.  Inhibitory mechanisms influencing complex cell orientation selectivity and their modification at high resting discharge levels.

Authors:  A M Sillito
Journal:  J Physiol       Date:  1979-04       Impact factor: 5.182

3.  Intrinsic projections within visual cortex: evidence for orientation-specific local connections.

Authors:  J Matsubara; M Cynader; N V Swindale; M P Stryker
Journal:  Proc Natl Acad Sci U S A       Date:  1985-02       Impact factor: 11.205

4.  Local spectral analysis in the visual cortex.

Authors:  V D Glezer; A M Cooperman
Journal:  Biol Cybern       Date:  1977-12-22       Impact factor: 2.086

5.  Two-dimensional spectral analysis of cortical receptive field profiles.

Authors:  J G Daugman
Journal:  Vision Res       Date:  1980       Impact factor: 1.886

6.  Comparison of responses to moving and stationary stimuli in cat striate cortex.

Authors:  L A Palmer; T L Davis
Journal:  J Neurophysiol       Date:  1981-08       Impact factor: 2.714

7.  Hypercomplex and simple/complex cell classifications in cat striate cortex.

Authors:  H Kato; P O Bishop; G A Orban
Journal:  J Neurophysiol       Date:  1978-09       Impact factor: 2.714

8.  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

9.  Spatial summation in the receptive fields of simple 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

10.  Directional tuning of complex cells in area 17 of the feline visual cortex.

Authors:  P Hammond
Journal:  J Physiol       Date:  1978-12       Impact factor: 5.182

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  28 in total

1.  Coexistence of linear zones and pinwheels within orientation maps in cat visual cortex.

Authors:  A Shmuel; A Grinvald
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

2.  Visual response properties of neurons in the middle and lateral suprasylvian cortices of the behaving cat.

Authors:  T C Yin; M Greenwood
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

3.  Hierarchy of direction-tuned motion adaptation in human visual cortex.

Authors:  Hyun Ah Lee; Sang-Hun Lee
Journal:  J Neurophysiol       Date:  2012-01-04       Impact factor: 2.714

4.  Visual response properties and afferents of nucleus of the optic tract in the ferret.

Authors:  S Klauer; F Sengpiel; K P Hoffmann
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

5.  Axial responses in visual cortical cells: spatio-temporal mechanisms quantified by Fourier components of cortical tuning curves.

Authors:  F Wörgötter; U T Eysel
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

6.  Correlations between directional and orientational tuning of cells in cat striate cortex.

Authors:  F Wörgötter; T Muche; U T Eysel
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

7.  Stimulation of non-classical receptive field enhances orientation selectivity in the cat.

Authors:  Gang Chen; Yang Dan; Chao-Yi Li
Journal:  J Physiol       Date:  2005-01-27       Impact factor: 5.182

8.  Spectral integration plasticity in cat auditory cortex induced by perceptual training.

Authors:  M Diane Keeling; Barbara M Calhoun; Katharina Krüger; Daniel B Polley; Christoph E Schreiner
Journal:  Exp Brain Res       Date:  2007-09-21       Impact factor: 1.972

9.  How to unconfound the directional and orientational information in visual neuron's response.

Authors:  J Zhang
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

10.  Bimodal modulation and continuous stimulation in optical imaging to map direction selectivity.

Authors:  M P Vanni; J Provost; C Casanova; F Lesage
Journal:  Neuroimage       Date:  2009-09-25       Impact factor: 6.556

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