Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties
- 1 March 1989
- journal article
- letter
- Published by Springer Nature in Nature
- Vol. 338 (6213) , 334-337
- https://doi.org/10.1038/338334a0
Abstract
A FUNDAMENTAL step in visual pattern recognition is the establishment of relations between spatially separate features. Recently, we have shown that neurons in the cat visual cortex have oscillatory responses in the range 40–60 Hz (refs 1,2) which occur in synchrony for cells in a functional column and are tightly correlated with a local oscillatory field potential. This led us to hypothesize that the synchronization of oscillatory responses of spatially distributed, feature selective cells might be a way to establish relations between features in different parts of the visual field2,3. In support of this hypothesis, we demonstrate here that neurons in spatially separate columns can synchronize their oscillatory responses. The synchronization has, on average, no phase difference, depends on the spatial separation and the orientation preference of the cells and is influenced by global stimulus properties.Keywords
This publication has 23 references indexed in Scilit:
- Inhibition contributes to orientation selectivity in visual cortex of catNature, 1988
- Parallel visual computationNature, 1983
- Simultaneous individual recordings from many cerebral neurons: Techniques and resultsPublished by Springer Nature ,1983
- Widespread Periodic Intrinsic Connections in the Tree Shrew Visual CortexScience, 1982
- Textons, the elements of texture perception, and their interactionsNature, 1981
- Topography of the Cortico-Cortical Connections from the Striate Cortex in the CatBrain, Behavior and Evolution, 1981
- Morphology and intracortical projections of functionally characterised neurones in the cat visual cortexNature, 1979
- Cooperative Computation of Stereo DisparityScience, 1976
- Neuronal Spike Trains and Stochastic Point ProcessesBiophysical Journal, 1967
- Neuronal Spike Trains and Stochastic Point ProcessesBiophysical Journal, 1967