The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Attention-Based Motion Perception
Abstract
Two "attentive" tracking tasks reveal the existence of an attention-based motion process. In the first task, oppositely rotating luminance and color gratings were superimposed. Because of masking from the color grating, the bars of the luminance grating were not visible; nevertheless, their motion was visible and it determined the perceived direction of the stimulus rotation. On the other hand, the bars of the color grating were visible but they could only be seen to move (in the opposite direction to the overall stimulus rotation) when they were tracked with attention. In a second task, the perceived velocity of a color grating, typically slow at equiluminance, speeded up when individual bars were attentively tracked. These findings demonstrate two independent motion processes: one that is "low-level" or automatic in that it signals motion even in the absence of attention to the stimulus, and one that is mediated by attention to visible features and provides accurate velocity judgments independently of the features being tracked.
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Cites
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Cited by
The functional architecture of human visual motion perception
Lu, Z.-L., & Sperling, G. (1995) · Vision Research · doi:10.1016/0042-6989(95)00025-u · Cited by 458
Tracking an object through feature space
Blaser, E., Pylyshyn, Z. W., & Holcombe, A. O. (2000) · Nature · doi:10.1038/35041567 · Cited by 296
Motion psychophysics: 1985-2010.
Burr, D., & Thompson, P. (2011) · Vision Research · doi:10.1016/j.visres.2011.02.008 · Cited by 178
Multi-modality Sensor Data Classification with Selective Attention
Zhang, X., Yao, L., Huang, C., Wang, S., Tan, M., Long, G., & Wang, C. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/432 · Cited by 41
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN
Zhang, X., Yao, L., Wang, X., Zhang, W., Zhang, S., & Liu, Y. (2019) · 2019 IEEE International Conference on Data Mining (ICDM) · doi:10.1109/icdm.2019.00100 · Cited by 22
Metadata
- Authors
- Cavanagh, P.
- Venue
- Science
- Published
- 1992-09-11
- Volume
- 257
- Issue
- 5076
- Pages
- 1563-1565
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1992505533
- Cited by
- 477
- References
- 20
- FWCI
- 6.06
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
