The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Stimulus‐Dependent Neuronal Oscillations in Cat Visual Cortex: Receptive Field Properties and Feature Dependence
Abstract
Previously we have demonstrated that neurons in the striate cortex of lightly anaesthetized cats exhibit oscillatory responses at a frequency near 50 Hz in response to their preferred stimuli. Here we have used both single and multiple unit recording techniques to determine: (i) the receptive field properties and laminar distribution of cells exhibiting oscillatory responses; and (ii) the influence of changing stimulus properties on the temporal behaviour of the oscillatory responses. Oscillatory responses were detected and evaluated by computation of the autocorrelation function of the neuronal spike trains. We recorded oscillatory responses in 56% of the standard complex cells and in 12% and 11% of the simple and special complex cells. Cells exhibiting oscillatory responses were located primarily in supra‐ and infragranular layers. The oscillatory modulation amplitude of the autocorrelation function was enhanced by binocular stimulation (9 out of 16 cells) and reduced by combined stimulation with optimal and orthogonally orientated light bars (16 out of 21 cells). Changing stimulus orientation caused no change in the oscillation frequency of the sampled population of cells, while oscillation frequency increased monotonically with respect to stimulus velocity within the range of 1–12 degrees per second (10 out of 11 cells). The oscillatory modulation of the autocorrelation function increased as a function of stimulus length within the boundary of the cell's receptive field (11 out of 11 cells). In 6 out of these 11 cells, the responses did not show an oscillatory modulation if elicited by small moving spots of light. Moving stimuli were much more effective in evoking oscillatory responses than were stationary stimuli (19 out of 20 cells). In no instance, using either stationary or moving stimuli, was the phase of the oscillatory response synchronized with the stimulus. These results demonstrate functional heterogeneity among cells within striate cortex based on their temporal firing patterns and provide evidence that the temporal pattern of oscillatory cellular activity is influenced by changes in stimulus properties.
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Citations
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Self-citationMcClelland, J. L., Rumelhart, D. E., & AU (1987) · doi:10.7551/mitpress/5237.001.0001 · Cited by 3,315
Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285
The functional logic of cortical connections
Zeki, S., & Shipp, S. (1988) · Nature · doi:10.1038/335311a0 · Cited by 1,067 · cited 1×
“Yet the picture of the central organization of the mammalian visual pathway which has emerged from over 30 years of research is one of topographic specificity, modularity, and functional localization (DeYoe and Van Essen, 1988; Livingstone and Hubel, 1988; Zeki and Shipp, 1988).”
BackgroundSpatial summation in the receptive fields of simple cells in the cat's striate cortex.
Movshon, J. A., Thompson, I. D., & Tolhurst, D. J. (1978) · The Journal of Physiology · doi:10.1113/jphysiol.1978.sp012488 · Cited by 890
Model of the Origin of Rhythmic Population Oscillations in the Hippocampal Slice
Traub, R. D., Miles, R., & Wong, R. K. S. (1989) · Science · doi:10.1126/science.2646715 · Cited by 315
Generation of end-inhibition in the visual cortex via interlaminar connections
Bolz, J., & Gilbert, C. D. (1986) · Nature · doi:10.1038/320362a0 · Cited by 287
Cited by
Rhythms for cognition: communication through coherence
Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.034 · Cited by 2,725
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
Self-citationNeurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
(1990) · CaltechAUTHORS (California Institute of Technology) · Cited by 1,661
Dawson, G., Webb, S. J., & McPartland, J. (2005) · Developmental Neuropsychology · doi:10.1207/s15326942dn2703_6 · Cited by 989
Metadata
- Authors
- Gray, C. M., Engel, A. K., König, P., & Singer, W.
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 1990-07
- Volume
- 2
- Issue
- 7
- Pages
- 607-619
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W2056570598
- Cited by
- 318
- References
- 8
- FWCI
- 11.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gray, C. M., Engel, A. K., König, P., & Singer, W. (1990). Stimulus‐Dependent Neuronal Oscillations in Cat Visual Cortex: Receptive Field Properties and Feature Dependence. European Journal of Neuroscience. https://doi.org/10.1111/j.1460-9568.1990.tb00450.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.