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Attention is still a productive framework

Published online by Cambridge University Press:  26 November 2025

Tianye Ma ,
Inik Kim ,
Sahereh Varastegan ,
Li Yang ,
Jessica Golding  and
Weiwei Zhang Open the ORCID record for Weiwei Zhang [Opens in a new window]
Tianye Ma
Affiliation:
Department of Psychology, University of California, Riverside , CA, US mack.ma@email.ucr.edu inik.kim@email.ucr.edu svara010@ucr.edu lyang147@ucr.edu jgold065@ucr.edu Weiwei.zhang@ucr.edu
Inik Kim
Affiliation:
Department of Psychology, University of California, Riverside , CA, US mack.ma@email.ucr.edu inik.kim@email.ucr.edu svara010@ucr.edu lyang147@ucr.edu jgold065@ucr.edu Weiwei.zhang@ucr.edu
Sahereh Varastegan
Affiliation:
Department of Psychology, University of California, Riverside , CA, US mack.ma@email.ucr.edu inik.kim@email.ucr.edu svara010@ucr.edu lyang147@ucr.edu jgold065@ucr.edu Weiwei.zhang@ucr.edu
Li Yang
Affiliation:
Department of Psychology, University of California, Riverside , CA, US mack.ma@email.ucr.edu inik.kim@email.ucr.edu svara010@ucr.edu lyang147@ucr.edu jgold065@ucr.edu Weiwei.zhang@ucr.edu
Jessica Golding
Affiliation:
Department of Psychology, University of California, Riverside , CA, US mack.ma@email.ucr.edu inik.kim@email.ucr.edu svara010@ucr.edu lyang147@ucr.edu jgold065@ucr.edu Weiwei.zhang@ucr.edu
Weiwei Zhang*
Affiliation:
Department of Psychology, University of California, Riverside , CA, US mack.ma@email.ucr.edu inik.kim@email.ucr.edu svara010@ucr.edu lyang147@ucr.edu jgold065@ucr.edu Weiwei.zhang@ucr.edu
*
*Corresponding author.
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Abstract

The debate on attention’s validity in cognitive psychology persists. However, attention remains essential beyond peripheral vision constraints, as it is a resource-limited process (Norman & Bobrow, 1975). The outright dismissal of attention proposed in the target article risks conceptual voids without superior alternatives. Instead, refining attention as a theoretical framework offers a pragmatic path for advancing cognitive research.

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Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 48 , 2025 , e148
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Copyright
© The Author(s), 2025. Published by Cambridge University Press

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References

Anderson, B. (2011). There is no such thing as attention. Frontiers in Psychology, 2, 246.10.3389/fpsyg.2011.00246CrossRefGoogle Scholar
Anderson, B. (2023). Stop paying attention to “attention.” Wiley Interdisciplinary Reviews: Cognitive Science, 14(1), e1574.Google ScholarPubMed
Chun, M. M., & Potter, M. C. (1995). A two-stage model for multiple target detection in rapid serial visual presentation. Journal of Experimental Psychology: Human Perception and Performance, 21(1), 109.Google ScholarPubMed
Eberhardt, L. V., Strauch, C., Hartmann, T. S., & Huckauf, A. (2022). Increasing pupil size is associated with improved detection performance in the periphery. Attention, Perception, & Psychophysics, 84(1), 138–149.10.3758/s13414-021-02388-wCrossRefGoogle ScholarPubMed
Hillyard, S. A., & Anllo-Vento, L. (1998). Event-related brain potentials in the study of visual selective attention. Proceedings of the National Academy of Sciences, 95(3), 781–787.10.1073/pnas.95.3.781CrossRefGoogle Scholar
Hommel, B., Chapman, C. S., Cisek, P., Neyedli, H. F., Song, J.-H., & Welsh, T. N. (2019). No one knows what attention is. Attention, Perception, & Psychophysics, 81, 2288–2303.10.3758/s13414-019-01846-wCrossRefGoogle ScholarPubMed
Kane, M. J., Bleckley, M. K., Conway, A. R., & Engle, R. W. (2001). A controlled-attention view of working-memory capacity. Journal of Experimental Psychology: General, 130(2), 169.10.1037/0096-3445.130.2.169CrossRefGoogle ScholarPubMed
Lavie, N., & De Fockert, J. W. (2003). Contrasting effects of sensory limits and capacity limits in visual selective attention. Perception & Psychophysics, 65(2), 202–212.10.3758/BF03194795CrossRefGoogle ScholarPubMed
Luck, S. J., & Vecera, S. P. (2002). Attention. Stevens’ Handbook of Experimental Psychology, 1, 235–286.Google Scholar
Luck, S. J., Vogel, E. K., & Shapiro, K. L. (1996). Word meanings can be accessed but not reported during the attentional blink. Nature, 383(6601), 616–618.10.1038/383616a0CrossRefGoogle Scholar
Norman, D. A., & Bobrow, D. G. (1975). On data-limited and resource-limited processes. Cognitive Psychology, 7(1), 44–64.10.1016/0010-0285(75)90004-3CrossRefGoogle Scholar
Oberauer, K., Farrell, S., Jarrold, C., & Lewandowsky, S. (2016). What limits working memory capacity? Psychological Bulletin, 142(7), 758.10.1037/bul0000046CrossRefGoogle ScholarPubMed
Palmer, S. E. (1978). Fundamental aspects of cognitive representation. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 259–303). Routledge.Google Scholar
Petersen, S. E., & Posner, M. I. (2012). The attention system of the human brain: 20 years after. Annual Review of Neuroscience, 35(1), 73–89.10.1146/annurev-neuro-062111-150525CrossRefGoogle ScholarPubMed
Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13(1), 25–42.10.1146/annurev.ne.13.030190.000325CrossRefGoogle ScholarPubMed
Raymond, J. E., Shapiro, K. L., & Arnell, K. M. (1992). Temporary suppression of visual processing in an RSVP task: An attentional blink? Journal of Experimental Psychology: Human Perception and Performance, 18(3), 849.Google Scholar
Shalev, L., Tsal, Y., & Mevorach, C. (2007). Computerized progressive attentional training (CPAT) program: Effective direct intervention for children with ADHD. Child Neuropsychology, 13(4), 382–388.10.1080/09297040600770787CrossRefGoogle ScholarPubMed
Soydaner, D. (2022). Attention mechanism in neural networks: Where it comes and where it goes. Neural Computing and Applications, 34(16), 13371–13385.10.1007/s00521-022-07366-3CrossRefGoogle Scholar
Vilotijević, A., & Mathôt, S. (2024). Functional benefits of cognitively driven pupil-size changes. Wiley Interdisciplinary Reviews: Cognitive Science, 15(3), e1672.Google ScholarPubMed
Wu, W. (2024). We know what attention is! Trends in Cognitive Sciences, 28(4), 304–318.10.1016/j.tics.2023.11.007CrossRefGoogle ScholarPubMed
Xie, W., & Zhang, W. (2023). Effortfulness of visual working memory: Gauged by physical exertion. Journal of Experimental Psychology: General, 152(7), 2074.10.1037/xge0001391CrossRefGoogle ScholarPubMed
Zhang, W., & Luck, S. J. (2008). Discrete fixed-resolution representations in visual working memory. Nature, 453(7192), 233–235.10.1038/nature06860CrossRefGoogle ScholarPubMed
Zhang, W., & Luck, S. J. (2009). Feature-based attention modulates feedforward visual processing. Nature Neuroscience, 12(1), 24–25.10.1038/nn.2223CrossRefGoogle ScholarPubMed