The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
How does the cerebral cortex work? Learning, attention, and grouping by the laminar circuits of visual cortex
Open accessAbstract
The organization of neocortex into layers is one of its most salient anatomical features. These layers include circuits that form functional columns in cortical maps. A major unsolved problem concerns how bottom-up, top-down, and horizontal interactions are organized within cortical layers to generate adaptive behaviors. This article models how these interactions help visual cortex to realize: (i) the binding process whereby cortex groups distributed data into coherent object representations; (ii) the attentional process whereby cortex selectively processes important events; and (iii) the developmental and learning processes whereby cortex shapes its circuits to match environmental constraints. New computational ideas about feedback systems suggest how neocortex develops and learns in a stable way, and why top-down attention requires converging bottom-up inputs to fully activate cortical cells, whereas perceptual groupings do not.
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Citations
Cites
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“Attention can sensitize, or prime, an observer to expect an object to occur at a given location, or with particular stimulus properties (Posner, 1980; Duncan, !”
Distributed hierarchical processing in the primate cerebral cortex
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A massively parallel architecture for a self-organizing neural pattern recognition machine
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Self-citationStimulus-specific neuronal oscillations in orientation columns of cat visual cortex
Gray, C. M., & Singer, W. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.5.1698 · Cited by 2,463
MODALITY AND TOPOGRAPHIC PROPERTIES OF SINGLE NEURONS OF CAT'S SOMATIC SENSORY CORTEX
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Foundations of Cyclopean Perception
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Selective attention and the organization of visual information.
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Self-citation
Cited by
Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4
Reynolds, J. H., Chelazzi, L., & Desimone, R. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-05-01736.1999 · Cited by 1,236
Mental imagery: In search of a theory
Pylyshyn, Z. W. (2002) · Behavioral and Brain Sciences · doi:10.1017/s0140525x02000043 · Cited by 722
Convergence of biological and psychological perspectives on cognitive coordination in schizophrenia
Phillips, W. A., & Silverstein, S. M. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000025 · Cited by 445
Grossberg, S. (2013) · Neural Networks · doi:10.1016/j.neunet.2012.09.017 · Cited by 410
Self-citationCell assemblies in the cerebral cortex
Palm, G., Knoblauch, A., Hauser, F., & Schüz, A. (2014) · Biological Cybernetics · doi:10.1007/s00422-014-0596-4 · Cited by 403
Metadata
- Authors
- Grossberg, S.
- Venue
- Spatial Vision
- Publisher
- Walter de Gruyter GmbH
- Published
- 1999
- Volume
- 12
- Issue
- 2
- Pages
- 163-185
- ISSN
- 0169-1015 (ISSN-L)
- 1568-5683
- OpenAlex
- W1992778926
- Cited by
- 254
- References
- 84
- FWCI
- 8.55
- Type
- journal article
- Language
- en
- Open access
- green
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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.
