Angus Chapman

Angus Chapman

Publications

You can view my Google scholar profile here

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Published Articles

  1. Chapman, A. F., & Störmer, V. S. (2024). Target-distractor similarity predicts visual search efficiency but only for highly similar features. Attention, Perception, & Psychophysics, 86(6), 1872–1882. https://doi.org/10.3758/s13414-024-02954-y
  2. Chapman, A. F., & Störmer, V. S. (2024). Representational spaces as a unifying framework for attention. Trends in Cognitive Sciences, 28(5), 416–427. https://doi.org/10.1016/j.tics.2024.01.002
  3. Chapman, A. F., & Störmer, V. S. (2023). Efficient tuning of attention to narrow and broad ranges of task-relevant feature values. Visual Cognition, 31(1), 63–84. https://doi.org/10.1080/13506285.2023.2192993
  4. Chapman, A. F., Chunharas, C., & Störmer, V. S. (2023). Feature-based attention warps the perception of visual features. Scientific Reports, 13, 6487. https://doi.org/10.1038/s41598-023-33488-2
  5. Chapman, A. F., & Störmer, V. S. (2022). Feature similarity is non-linearly related to attentional selection: evidence from visual search and sustained attention tasks. Journal of Vision, 22(8), 4. https://doi.org/10.1167/jov.22.8.4
  6. Chapman, A. F., & Störmer, V. S. (2021). Feature-based attention is not confined by object boundaries: spatially global enhancement of irrelevant features. Psychonomic Bulletin and Review, 28, 1252–1260. https://doi.org/10.3758/s13423-021-01897-x
  7. Chapman, A., Devue, C., & Grimshaw, G. M. (2019). Fleeting reliability in the dot-probe task. Psychological Research, 83(2), 308–320. https://doi.org/10.1007/s00426-017-0947-6
  8. Chapman, A. F., Hawkins-Elder, H., & Susilo, T. (2018). How robust is familiar face recognition? A repeat detection study of more than 1000 faces. Royal Society Open Science, 5, 170634. https://doi.org/10.1098/rsos.170634
  9. Tooley, M. D., Carmel, D., Chapman, A., & Grimshaw, G. M. (2017). Dissociating the physiological components of unconscious emotional responses. Neuroscience of Consciousness, 3(1), 1–11. https://doi.org/10.1093/nc/nix021

Manuscripts submitted or in preparation

  1. Chapman, A. F., Geweke, F., Serences, J. T., & Störmer, V. S. (submitted). Biased representations of attended and unattended colors recovered from human scalp electroencephalography.
  2. Rezlescu, C., Chapman, A. F., Susilo, T., & Carramazza, A. (submitted). Large inversion effects are not specific to faces and do not vary with object recognition ability. https://doi.org/10.17605/osf.io/XZBE5
  3. Chapman, A. F., Bell, L., Duchaine, B., & Susilo, T. (in prep). Reduced holistic processing in developmental prosopagnosia: evidence from a large, online study.

Book Chapters

  1. Brady, T. F., Störmer, V. S., Shafer-Skelton, A., Williams, J. R., Chapman, A. F., & Schill, H. M. (2019). Scaling up visual attention and visual working memory to the real world. In K. D. Federmeier & D. M. Beck (Eds.), Psychology of Learning and Motivation (Vol. 70, pp. 29–69). https://doi.org/10.1016/bs.plm.2019.03.001

Conference presentations

Talks

  1. Chapman, A. F., Chunharas, C., & Störmer, V. S. (2022). Adaptive biases in attention and working memory revealed by pre-cues and retro-cues. Paper presented at the 30th OPAM meeting, Boston, MA, USA.
  2. Chapman, A. F., & Störmer, V. S. (2022). Reconstructing attended and unattended colors from human scalp electroencephalography. Paper presented at the Vision Science Society 2022, St. Pete Beach, FL, USA. https://doi.org/10.1167/jov.22.14.4303
  3. Chapman, A. F., & Störmer, V. S. (2020). Flexible focus in feature-based attention: efficient tuning of attention to narrow and broad ranges of task-relevant feature values. Paper presented at the Virtual Meeting of the Vision Science Society 2020. https://doi.org/10.1167/jov.20.11.217 (video)
  4. Chapman, A. F., & Störmer, V. S. (2019). Feature-based attention is not confined by object boundaries: spatially global enhancement of irrelevant features. Paper presented at the 46th Annual Conference of the Australasian Society for Experimental Psychology, Wellington, New Zealand.
  5. Chapman, A., Devue, C., & Grimshaw, G. M. (2015). Reliability of attentional biases in the dot-probe task. Paper presented at the 4th KiwiCAM conference, Victoria University of Wellington, New Zealand.
  6. Chapman, A., Tooley, M. D., Carmel, D., & Grimshaw, G. M. (2014). Gone in a flash: No evidence for unconscious perception of emotional valence. Paper presented at the 3rd KiwiCAM conference, University of Auckland, New Zealand.

Posters

  1. Chapman, A. F., Allouche, M., & Denison, R. N. (2024). Attention alters the representational geometry of a perceptual feature space. Poster presented at the Cognitive Computational Neuroscience conference, Boston, MA, USA. (download)
  2. Chapman, A. F., & Denison, R. N. (2024). Temporal normalization incentivizes attentional tradeoffs across time. Poster presented at Society for Neuroscience, Chicago, IL, USA.
  3. Chapman, A. F., Epstein, M. L., & Denison, R. N. (2024). A dynamic normalization model with temporal receptive fields captures perceptual suppression by past and future stimuli. Poster presented at the Vision Science Society, St Pete Beach, FL, USA. (download)
  4. Allouche, M., Chapman, A. F., & Denison, R. N. (2024). Attention increases representational distance near task-relevant orientations. Poster presented at the Vision Science Society, St Pete Beach, FL, USA. (download)
  5. Ozkan, M., Chapman, A. F., & Störmer, V. S. (2024). Flexible allocation of feature-based attention to narrow and broad ranges of color as assessed by steady-state visual evoked potentials. Poster presented at the Vision Science Society, St Pete Beach, FL, USA.
  6. Chapman, A. F., & Störmer, V. S. (2023). Highly efficient attentional selection of colors despite high target-distractor similarity. Poster presented at the Vision Science Society, St Pete Beach, FL, USA. https://doi.org/10.1167/jov.23.9.5607 (download)
  7. Chapman, A. F., & Störmer, V. S. (2021). Quantifying the effects of feature similarity on attentional selection using psychophysical scaling. Poster presented at the Virtual Meeting of the Vision Science Society 2021. https://doi.org/10.1167/jov.21.9.2513 (download)
  8. Chapman, A. F., Chunharas, C., & Störmer, V. S. (2021). Feature-based attention warps perception of color. Poster presented at the 29th OPAM conference. (video) (download)
  9. Barszcz, A., Chapman, A. F., Chunhuras, C., & Störmer, V. S. (2020). Feature-based attention warps perception of color. Poster presented at the Virtual Meeting of the Vision Science Society 2020. https://doi.org/10.1167/jov.20.11.1304 (download)
  10. Chapman, A. F., Geweke, F., & Störmer, V. S. (2019). Feature-based attention resolves differences in target-distractor similarity through multiple mechanisms. Poster presented at the Vision Science Society, St Pete Beach, FL, USA. https://doi.org/10.1167/19.10.45a (download)
  11. Chapman, A. F., & Störmer, V. S. (2018). Feature-based attention spreads within and between objects. Poster presented at Society for Neuroscience, San Diego, CA, USA. (download)
  12. Chapman, A. F., Bell, L., Duchaine, B., & Susilo, T. (2018). Varieties of holistic processing defecits in developmental prosopagnosia. Poster presented at the Vision Science Society, St Pete Beach, FL, USA. https://doi.org/10.1167/18.10.917 (download)
  13. Rezlescu, C., Susilo, T., Chapman, A., & Carramazza, A. (2017). Large inversion effects are not specific to faces and do not vary with object expertise. Poster presented at the Vision Science Society, St Pete Beach, FL, USA. https://doi.org/10.1167/17.10.250
  14. Chapman, A., Devue, C., & Grimshaw, G. M. (2016). Fleeting reliability in the dot-probe task. Poster presented at the Australasian Society for Experimental Psychology, Melbourne, Australia.
  15. Grimshaw, G. M., Tooley, M. D., Chapman, A., & Carmel, D. (2015). Dissociating unconscious emotion through differential physiological responses. Poster presented at the Association for the Scientific Study of Consciousness, Paris, France.

Twice Told Stories, Seattle, WA, 8/21/17