Publications

• Song, M., Cook, A. J., Hajela, A., Giaschi, D. E., & Im, H. Y. (2026). Developmental changes in MEG oscillatory activity during visuomotor adaptation: Differential maturation of feedforward and feedback-related mechanisms. NeuroImage, 339, 122145. https://doi.org/10.1016/j.neuroimage.2026.122145
• Cook, A. J., Giaschi, D. E., & Im, H. Y. (2026). Speed and Accuracy of Movement During Visuomotor Adaptation Are Still Developing in School‐Age Children. Infant and Child Development, 35(4), e70121. https://doi.org/10.1002/icd.70121
• Asare, A. K., Ho, C. S., Im, H. Y., & Giaschi, D. E. (2026). Evaluation of motion perception and binocular vision following dichoptic treatment for amblyopia. Vision Research, 240, 108745. https://doi.org/10.1016/j.visres.2025.108745
• Cook, A. J., Im, H. Y., & Giaschi, D. E. (2025). Large-scale functional networks underlying visual attention. Neuroscience & Biobehavioral Reviews, 173, 106165. https://doi.org/10.1016/j.neubiorev.2025.106165
• Son, G., Im, H. Y., Albohn, D. N., Kveraga, K., Adams, R. B., Sun, J., & Chong, S. C. (2023). Americans weigh an attended emotion more than Koreans in overall mood judgments. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-46723-7
• Cho, J., Im, H. Y., Yoon, Y. J., Joo, S. J., & Chong, S. C. (2023). The effect of masks on the emotion perception of a facial crowd. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-41366-0
• Im, H. Y., Liddy, J. J., & Song, J.-H. (2022). Inconsistent attentional contexts impair relearning following gradual visuomotor adaptation. Journal of Neurophysiology, 128(3), 527-542. https://doi.org/10.1152/jn.00463.2021
• Im, H. Y., Cushing, C. A., Ward, N., & Kveraga, K. (2021). Differential neurodynamics and connectivity in the dorsal and ventral visual pathways during perception of emotional crowds and individuals: a MEG study. Cognitive, Affective, & Behavioral Neuroscience, 21(4), 776-792. https://doi.org/10.3758/s13415-021-00880-2
• Im, H. Y., Tiurina, N. A., & Utochkin, I. S. (2021). An explicit investigation of the roles that feature distributions play in rapid visual categorization. Attention, Perception, & Psychophysics, 83(3), 1050-1069. https://doi.org/10.3758/s13414-020-02046-7
• Kveraga, K., Im, H. Y., Ward, N., & Adams, R. B. (2020). Fast saccadic and manual responses to faces presented to the koniocellular visual pathway. Journal of Vision, 20(2), 9. https://doi.org/10.1167/jov.20.2.9
• Cushing, C. A., Im, H. Y., Adams Jr, R. B., Ward, N., & Kveraga, K. (2019). Magnocellular and parvocellular pathway contributions to facial threat cue processing. Social Cognitive and Affective Neuroscience, 14(2), 151-162. https://doi.org/10.1093/scan/nsz003
• Kveraga, K., De Vito, D., Cushing, C., Im, H. Y., Albohn, D. N., & Adams, R. B. (2019). Spatial and feature-based attention to expressive faces. Experimental Brain Research, 237(4), 967-975. https://doi.org/10.1007/s00221-019-05472-8
• Adams, R. B., Im, H. Y., Cushing, C., Boshyan, J., Ward, N., Albohn, D. N., & Kveraga, K. (2019). Differential magnocellular versus parvocellular pathway contributions to the combinatorial processing of facial threat. Progress in Brain Research, 71-87. https://doi.org/10.1016/bs.pbr.2019.03.006
• Im, H. Y., Adams, R. B., Cushing, C. A., Boshyan, J., Ward, N., & Kveraga, K. (2018). Sex-related differences in behavioral and amygdalar responses to compound facial threat cues. Human Brain Mapping, 39(7), 2725-2741. https://doi.org/10.1002/hbm.24035
• Cushing, C. A., Im, H. Y., Adams, R. B., Ward, N., Albohn, D. N., Steiner, T. G., & Kveraga, K. (2018). Neurodynamics and connectivity during facial fear perception: The role of threat exposure and signal congruity. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-20509-8
• Im, H. Y., Adams, R. B., Boshyan, J., Ward, N., Cushing, C. A., & Kveraga, K. (2017). Observer’s anxiety facilitates magnocellular processing of clear facial threat cues, but impairs parvocellular processing of ambiguous facial threat cues. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-15495-2
• Im, H. Y., Albohn, D. N., Steiner, T. G., Cushing, C. A., Adams, R. B., & Kveraga, K. (2017). Differential hemispheric and visual stream contributions to ensemble coding of crowd emotion. Nature Human Behaviour, 1(11), 828-842. https://doi.org/10.1038/s41562-017-0225-z
• Im, H. Y., Chong, S. C., Sun, J., Steiner, T. G., Albohn, D. N., Adams, R. B., & Kveraga, K. (2017). Cross-cultural and hemispheric laterality effects on the ensemble coding of emotion in facial crowds. Culture and Brain, 5(2), 125-152. https://doi.org/10.1007/s40167-017-0054-y
• Im, H. Y., Bédard, P., & Song, J.-H. (2016). Long lasting attentional-context dependent visuomotor memory. Journal of Experimental Psychology: Human Perception and Performance, 42(9), 1269-1274. https://doi.org/10.1037/xhp0000271
• Im, H. Y., Zhong, S.-H., & Halberda, J. (2016). Grouping by proximity and the visual impression of approximate number in random dot arrays. Vision Research, 126, 291-307. https://doi.org/10.1016/j.visres.2015.08.013
• Odic, D., Im, H. Y., Eisinger, R., Ly, R., & Halberda, J. (2016). PsiMLE: A maximum-likelihood estimation approach to estimating psychophysical scaling and variability more reliably, efficiently, and flexibly. Behavior Research Methods, 48(2), 445-462. https://doi.org/10.3758/s13428-015-0600-5
• Im, H. Y., Bédard, P., & Song, J.-H. (2015). Encoding attentional states during visuomotor adaptation. Journal of Vision, 15(8), 20. https://doi.org/10.1167/15.8.20
• Im, H. Y., Park, W. J., & Chong, S. C. (2015). Ensemble statistics as units of selection. Journal of Cognitive Psychology, 27(1), 114-127. https://doi.org/10.1080/20445911.2014.985301
• Im, H. Y., & Chong, S. C. (2014). Mean Size as a Unit of Visual Working Memory. Perception, 43(7), 663-676. https://doi.org/10.1068/p7719
• Im, H. Y., & Halberda, J. (2013). The effects of sampling and internal noise on the representation of ensemble average size. Attention, Perception, & Psychophysics, 75(2), 278-286. https://doi.org/10.3758/s13414-012-0399-4
• Im, H. Y., & Chong, S. C. (2009). Computation of mean size is based on perceived size. Attention, Perception & Psychophysics, 71(2), 375-384. https://doi.org/10.3758/app.71.2.375
• Park, K. M., Cha, O., Kim, S., Im, H. Y., & Chong, S. C. (2007). The Influence of Depth Context on Blind Spot Filling-in. Korean Journal of Cognitive Science, 18(4), 351-370. https://doi.org/10.19066/cogsci.2007.18.4.002