The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Visual Object Recognition
Abstract
Visual object recognition is of fundamental importance to most animals. The diversity of tasks that any biological recognition system must solve suggests that object recognition is not a single, general purpose process. In this review, we consider evidence from the fields of psychology, neuropsychology, and neurophysiology, all of which supports the idea that there are multiple systems for recognition. Data from normal adults, infants, animals, and brain damaged patients reveal a major distinction between the classification of objects at a basic category level and the identification of individual objects from a homogeneous object class. An additional distinction between object representations used for visual perception and those used for visually guided movements provides further support for a multiplicity of visual recognition systems. Recent evidence from psychophysical and neurophysiological studies indicates that one system may represent objects by combinations of multiple views, or aspects, and another may represent objects by structural primitives and their spatial interrelationships.
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Cites
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Basic objects in natural categories
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Solving the “real” mysteries of visual perception: The world as an outside memory
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Visual and Eye Movement Functions of the Posterior Parietal Cortex
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Synaptic regulation of mesocorticolimbic dopamine neurons
White, F. J. (1996) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.19.030196.002201 · Cited by 289
Neuronal responses in the ventral striatum of the behaving macaque
WILLIAMS, G., ROLLS, E., LEONARD, C., & STERN, C. (1993) · Behavioural Brain Research · doi:10.1016/0166-4328(93)90120-f · Cited by 146
Cited by
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060
Distributed and overlapping representations of faces and objects in ventral temporal cortex
Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P. (2001) · Science · doi:10.1126/science.1063736 · Cited by 3,940
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Yamins, D. L. K., Hong, H., Cadieu, C. F., Solomon, E. A., Seibert, D., & DiCarlo, J. J. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1403112111 · Cited by 1,924
Invariant visual representation by single neurons in the human brain
Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005) · Nature · doi:10.1038/nature03687 · Cited by 1,988
How does the brain solve visual object recognition?
DiCarlo, J. J., Zoccolan, D., & Rust, N. C. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.010 · Cited by 1,790
Metadata
- Authors
- Logothetis, N. K., & Sheinberg, D. L.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 1996-03
- Volume
- 19
- Issue
- 1
- Pages
- 577-621
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2144730066
- Cited by
- 1,351
- References
- 7
- FWCI
- 16.01
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
