The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Visual categorization shapes feature selectivity in the primate temporal cortex
Open accessAbstract
The way that we perceive and interact with objects depends on our previous experience with them. For example, a bird expert is more likely to recognize a bird as a sparrow, a sandpiper or a cockatiel than a non-expert. Neurons in the inferior temporal cortex have been shown to be important in the representation of visual objects; however, it is unknown which object features are represented and how these representations are affected by categorization training. Here we show that feature selectivity in the macaque inferior temporal cortex is shaped by categorization of objects on the basis of their visual features. Specifically, we recorded from single neurons while monkeys performed a categorization task with two sets of parametric stimuli. Each stimulus set consisted of four varying features, but only two of the four were important for the categorization task (diagnostic features). We found enhanced neuronal representation of the diagnostic features relative to the non-diagnostic ones. These findings demonstrate that stimulus features important for categorization are instantiated in the activity of single units (neurons) in the primate inferior temporal cortex.
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Cites
Attention, similarity, and the identification-categorization relationship.
Nosofsky, R. M. (1986) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.115.1.39 · Cited by 2,766
Bruner, J. S. (1957) · Psychological Review · doi:10.1037/h0043805 · Cited by 2,040
Implantation of magnetic search coils for measurement of eye position: An improved method
Judge, S. J., Richmond, B. J., & Chu, F. C. (1980) · Vision Research · doi:10.1016/0042-6989(80)90128-5 · Cited by 1,536
Visual properties of neurons in inferotemporal cortex of the Macaque.
Gross, C. G., Rocha-Miranda, C. E., & Bender, D. B. (1972) · Journal of Neurophysiology · doi:10.1152/jn.1972.35.1.96 · Cited by 1,483
Expertise for cars and birds recruits brain areas involved in face recognition
Gauthier, I., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000) · Nature Neuroscience · doi:10.1038/72140 · Cited by 1,418 · cited 1×
“Moreover, activity in the human temporal cortex is thought to be sensitive to the categorization level of the stimuli and to depend on the expertise of the observe”
BackgroundInferotemporal cortex and object vision
Tanaka, K. (1996) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.19.030196.000545 · Cited by 1,402
Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex
Freedman, D. J., Riesenhuber, M., Poggio, T., & Miller, E. K. (2001) · Science · doi:10.1126/science.291.5502.312 · Cited by 1,123
Shape representation in the inferior temporal cortex of monkeys
Logothetis, N. K., Pauls, J., & Poggio, T. (1995) · Current Biology · doi:10.1016/s0960-9822(95)00108-4 · Cited by 963
Self-citationObject categories and expertise: Is the basic level in the eye of the beholder?
Tanaka, J. W., & Taylor, M. (1991) · Cognitive Psychology · doi:10.1016/0010-0285(91)90016-h · Cited by 728
Diversification and Extinction in the History of Life
Benton, M. J. (1995) · Science · doi:10.1126/science.7701342 · Cited by 654 · cited 2×
“FtsZ is found in nearly all prokaryotes, is structurally related to tubulin, and accumulates at the furrow between dividing cells, playing a critical role in cell division (3).”
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Cited by
Human-level control through deep reinforcement learning
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al. (2015) · Nature · doi:10.1038/nature14236 · Cited by 30,357
Repetition and the brain: neural models of stimulus-specific effects
Grill-Spector, K., Henson, R., & Martin, A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.11.006 · Cited by 2,256
Burge, T. (2010) · doi:10.1093/acprof:oso/9780199581405.001.0001 · Cited by 1,075
Cadieu, C. F., Hong, H., Yamins, D. L. K., Pinto, N., Ardila, D., Solomon, E. A., Majaj, N. J., & DiCarlo, J. J. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003963 · Cited by 824
Statistical learning of new visual feature combinations by infants
Fiser, J., & Aslin, R. N. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.232472899 · Cited by 637
Metadata
- Authors
- Sigala, N., & Logothetis, N. K.
- Venue
- Nature
- Published
- 2002-01
- Volume
- 415
- Issue
- 6869
- Pages
- 318-320
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1964166698
- Cited by
- 559
- References
- 20
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- green
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