The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Global processing of visual stimuli in a neural network of coupled oscillators.
Open accessAbstract
An oscillator neural network model is presented that is capable of processing local and global attributes of sensory input. Local features in the input are encoded in the average firing rate of the neurons while the relationships between these features can modulate the temporal structure of the neuronal output. Neurons that share the same receptive field interact via relatively strong feedback connections, while neurons with different fields interact via specific, relatively weak connections. This pattern of connectivity mimics that of primary visual cortex. The model is studied in the context of processing visual stimuli that are coded for orientation. We compare our theoretical results with recent experimental evidence on coherent oscillatory activity in the cat visual cortex. The computational capabilities of the model for performing discrimination and segmentation tasks are demonstrated.
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Cites
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Cited by
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
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Churchland, P. S., & Sejnowski, T. J. (1992) · doi:10.7551/mitpress/2010.001.0001 · Cited by 1,757
Shadlen, M. N., & Movshon, J. A. (1999) · Neuron · doi:10.1016/s0896-6273(00)80822-3 · Cited by 606
The Temporal Correlation Hypothesis of Visual Feature Integration
Gray, C. M. (1999) · Neuron · doi:10.1016/s0896-6273(00)80820-x · Cited by 541
Metadata
- Authors
- Sompolinsky, H., Golomb, D., & Kleinfeld, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1990-09
- Volume
- 87
- Issue
- 18
- Pages
- 7200-7204
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2015855206
- Cited by
- 182
- References
- 1
- FWCI
- 10.52
- Type
- journal article
- Language
- en
- Open access
- green
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- Sompolinsky, H., Golomb, D., & Kleinfeld, D. (1990). Global processing of visual stimuli in a neural network of coupled oscillators. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.87.18.7200
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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.
