The DOI matches its Crossref record; 196 of the 196 references it cites were found in a registry or an index.
The attentive brain: insights from developmental cognitive neuroscience
Open accessAbstract
Visual attention functions as a filter to select environmental information for learning and memory, making it the first step in the eventual cascade of thought and action systems. Here, we review studies of typical and atypical visual attention development and explain how they offer insights into the mechanisms of adult visual attention. We detail interactions between visual processing and visual attention, as well as the contribution of visual attention to memory. Finally, we discuss genetic mechanisms underlying attention disorders and how attention may be modified by training.
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Citations
Cites
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
(1982) · Trends in Neurosciences · doi:10.1016/0166-2236(82)90076-5 · Cited by 9,089
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
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604
Computational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733
The capacity of visual working memory for features and conjunctions
Luck, S. J., & Vogel, E. K. (1997) · Nature · doi:10.1038/36846 · Cited by 4,071
The information available in brief visual presentations
Sperling, G. (1960) · Psychological Monographs: General and Applied · doi:10.1037/h0093759 · Cited by 4,042
Cited by
Atzil, S., Gao, W., Fradkin, I., & Barrett, L. F. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0384-6 · Cited by 415
Bio-behavioral synchrony promotes the development of conceptualized emotions
Atzil, S., & Gendron, M. (2017) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2017.07.009 · Cited by 120
The Development of Attentional Biases for Faces in Infancy: A Developmental Systems Perspective
Reynolds, G. D., & Roth, K. C. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00222 · Cited by 53
Visual working memory in early development: a developmental cognitive neuroscience perspective.
Buss, A. T., Ross-Sheehy, S., & Reynolds, G. D. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00087.2018 · Cited by 28
Lurie, L. A., Gruhn, M. A., Garrisi, K., McLaughlin, K. A., Humphreys, K. L., Zeanah, C. H., Fox, N. A., Nelson, C. A., & Sheridan, M. A. (2025) · Developmental Science · doi:10.1111/desc.70043 · Cited by 2
Metadata
- Authors
- Amso, D., & Scerif, G.
- Venue
- Nature Reviews Neuroscience
- Published
- 2015-09-18
- Volume
- 16
- Issue
- 10
- Pages
- 606-619
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W1608979225
- Cited by
- 332
- References
- 196
- FWCI
- 2.01
- 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.
