Literature DB >> 2026206

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

F Wörgötter1, T Muche, U T Eysel.   

Abstract

Simple (N = 284) and complex cells (N = 125) in the central projection area (0-5 degrees eccentricity) of the striate cortex of cats were stimulated with moving light bars and the responses to different directions of movement were recorded and plotted as polar-plots. Fourier analysis was applied to polar plots (SDO-analysis, Wörgötter and Eysel 1987; Wörgötter et al. 1990) to determine the general sensitivity (S) of the cells to visual stimulation, the directional (D) and orientational (O) tuning strength as well as preferred direction (PD) and preferred orientation (PO). Statistical distributions of the S, D and O parameters were determined for simple and complex cells of the cortical layers II-VI. Simple cells were more strongly tuned for direction and orientation than complex cells, whereas complex cells had a greater general sensitivity to visual stimulation. Directional tuning was significantly stronger in layer VI than in layer IV simple cells, otherwise no differences were detected between these two layers. We found that cells with large D and small O components are generally rare. The D and O components were plotted against each other to determine any possible correlation between the tuning strengths. The correlations were statistically significant for simple and complex cells but the correlation coefficients were very small (r less than 0.3). It is suggested that only a very weak coupling between directional and orientational tuning exists, preferentially in the deeper layer simple cells.

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Year:  1991        PMID: 2026206     DOI: 10.1007/bf00229844

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


  20 in total

1.  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

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

Authors:  F Wörgötter; U T Eysel
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

3.  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

4.  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

5.  Laminar organization and contrast sensitivity of direction-selective cells in the striate cortex of the Old World monkey.

Authors:  M J Hawken; A J Parker; J S Lund
Journal:  J Neurosci       Date:  1988-10       Impact factor: 6.167

6.  Direction and orientation selectivity of neurons in visual area MT of the macaque.

Authors:  T D Albright
Journal:  J Neurophysiol       Date:  1984-12       Impact factor: 2.714

7.  Response variability and orientation discrimination of single cells in striate cortex of cat.

Authors:  P Heggelund; K Albus
Journal:  Exp Brain Res       Date:  1978-06-19       Impact factor: 1.972

8.  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

9.  Differential responsiveness of simple and complex cells in cat striate cortex to visual texture.

Authors:  P Hammond; D M MacKay
Journal:  Exp Brain Res       Date:  1977-11-24       Impact factor: 1.972

10.  GABA-induced remote inactivation reveals cross-orientation inhibition in the cat striate cortex.

Authors:  U T Eysel; J M Crook; H F Machemer
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

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  9 in total

1.  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

2.  Spontaneous Fluctuations in Visual Cortical Responses Influence Population Coding Accuracy.

Authors:  Diego A Gutnisky; Charles B Beaman; Sergio E Lew; Valentin Dragoi
Journal:  Cereb Cortex       Date:  2017-02-01       Impact factor: 5.357

3.  Efficient coding in heterogeneous neuronal populations.

Authors:  Mircea I Chelaru; Valentin Dragoi
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-14       Impact factor: 11.205

4.  Neurons in cat V1 show significant clustering by degree of tuning.

Authors:  Avi J Ziskind; Al A Emondi; Andrei V Kurgansky; Sergei P Rebrik; Kenneth D Miller
Journal:  J Neurophysiol       Date:  2015-02-04       Impact factor: 2.714

5.  Negative Correlations in Visual Cortical Networks.

Authors:  Mircea I Chelaru; Valentin Dragoi
Journal:  Cereb Cortex       Date:  2014-09-12       Impact factor: 5.357

6.  Do component motions recombine into a moving plaid percept?

Authors:  A V van den Berg; W A van de Grind
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

7.  Quantification of directional and orientational selectivities of visual neurons to moving stimuli.

Authors:  B Li; Y Wang; Y Diao
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

8.  Adaptive changes in neuronal synchronization in macaque V4.

Authors:  Ye Wang; Bogdan F Iliescu; Jianfu Ma; Krešimir Josić; Valentin Dragoi
Journal:  J Neurosci       Date:  2011-09-14       Impact factor: 6.167

9.  The mechanism for processing random-dot motion at various speeds in early visual cortices.

Authors:  Xu An; Hongliang Gong; Niall McLoughlin; Yupeng Yang; Wei Wang
Journal:  PLoS One       Date:  2014-03-28       Impact factor: 3.240

  9 in total

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