The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Neural correlates of attention in primate visual cortex
Open accessAbstract
The processing of visual information combines bottom-up sensory aspects with top-down influences, most notably attentional processes. Attentional influences have now been demonstrated throughout visual cortex, and their influence on the processing of visual information is profound. Neuronal responses to attended locations or stimulus features are enhanced, whereas those from unattended locations or features are suppressed. This influence of attention increases as one ascends the hierarchy of visual areas in primate cortex, ultimately resulting in a neural representation of the visual world that is dominated by the behavioral relevance of the information, rather than designed to provide an accurate and complete description of it. This realization has led to a rethinking of the role of areas that have previously been considered to be "purely sensory".
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Cites
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159
SPACE AND ATTENTION IN PARIETAL CORTEX
Colby, C. L., & Goldberg, M. E. (1999) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.22.1.319 · Cited by 1,710
Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex
Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.1.24 · Cited by 1,615
Andersen, R. A., Snyder, L. H., Bradley, D. C., & Xing, J. (1997) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.20.1.303 · Cited by 1,486
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
A neural basis for visual search in inferior temporal cortex
Chelazzi, L., Miller, E. K., Duncan, J., & Desimone, R. (1993) · Nature · doi:10.1038/363345a0 · Cited by 1,114
Attentional modulation of visual motion processing in cortical areas MT and MST
Treue, S., & Maunsell, J. H. R. (1996) · Nature · doi:10.1038/382539a0 · Cited by 1,025
Self-citationResponses of Neurons in Inferior Temporal Cortex During Memory-Guided Visual Search
Chelazzi, L., Duncan, J., Miller, E. K., & Desimone, R. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.6.2918 · Cited by 726
Cited by
Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454
Neural Mechanisms for Interacting with a World Full of Action Choices
Cisek, P., & Kalaska, J. F. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135409 · Cited by 1,543
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224
Carrasco, M., Ling, S., & Read, S. (2004) · Nature Neuroscience · doi:10.1038/nn1194 · Cited by 1,085
Cortical mechanisms of action selection: the affordance competition hypothesis
Cisek, P. (2007) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2054 · Cited by 1,083
Metadata
- Authors
- Treue, S.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2001-05
- Volume
- 24
- Issue
- 5
- Pages
- 295-300
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W1999135570
- Cited by
- 427
- References
- 16
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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