• Cushing, C., Im, H.Y., Adams, R.B.Jr., Ward, N., & Kveraga, K. (2019). Magnocellular and parvocellular pathway contributions to facial threat cue processing. Social Cognitive and Affective Neuroscience, 14, 151-162.

  • Kveraga, K., De Vito, D., Cushing, C., Im, H.Y., Albohn, D.N., & Adams, R.B.Jr. (2019). Spatial and feature-based attention to expressive faces. Experimental Brain Research.

  • Im, H.Y., Adams, R.B.Jr., Cushing, C., Boshyan, J., Ward, N., & Kveraga, K. (2018). Sex-related differences in behavioral and amygdalar responses to compound facial threat cues. Human Brain Mapping, 39, 2725-2741. [PDF]

  • Cushing, C., Im, H.Y., Adams, R.B.Jr., Ward, N., Albohn, N.D., Steiner, T.G., & Kveraga, K. (2018). Neurodynamics and connectivity during facial fear perception: The role of threat exposure and signal congruity. Scientific Reports, 8, 2776. [PDF]

  • Im, H.Y., Albohn, N.D., Steiner, T.G., Cushing, C., Adams, R.B.Jr., & Kveraga, K. (2017). Ensemble coding of crowd emotion: Differential hemispheric and visual stream contributions. Nature Human Behaviour, 1, 828-842. [PDF] [Demo]

  • Im, H.Y., Adams, R.B.Jr., Boshyan, J., Ward, N., Cushing, C., & 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, 15151. [PDF]

  • Im, H.Y., Chong, S.C., Sun, J., Steiner, T.G., Albohn, D.N., Adams, R.B.Jr., & Kveraga, K. (2017). Cross-cultural effects on ensemble coding of emotion in facial crowds. Culture and Brain, 5, 125-152. [PDF] [Demo]

  • Im, H.Y., Bédard, P., & Song, J-H. (2016). Long lasting attentional-context dependent visuomotor memory. Journal of Experimental Psychology: Human Perception & Performance, 42, 1269-1274. [PDF] [Demo]

  • Im, H.Y., Zhong, S., & Halberda, J. (2016). Perceptual groups as a unit for rapid extraction of approximate number of elements in random dot arrays. Vision Research, 126, 291-307. [PDF] [Demo]

  • Odic, D., Im, H.Y., Eisinger, R., Ly, R., & Halberda, J. (2016). PsiMLE: A maximum-likelihood approach to estimating psychophysical scaling and variability more reliably, efficiently, and flexibly. Behavioral Research Methods, 48, 445-462. [PDF]

  • Im, H.Y., Bédard, P., & Song, J-H. (2015). Encoding attentional-states during visuomotor learning. Journal of Vision, 15, 1-16. [PDF] [Demo]

  • Im, H.Y., Park, W., & Chong, S.C. (2015). Ensemble statistics as a unit of selection. Journal of Cognitive Psychology, 27, 114-127. [PDF] [Demo]

  • Im, H.Y., & Chong, S.C. (2014). Mean size as a unit of visual working memory. Perception, 43, 663-676. [PDF] [Demo]

  • Im, H.Y., & Halberda, J. (2013). The effects of sampling and internal noise on the representation of ensemble average size. Attention, Perception, & Psychophysics, 75, 278-286. [PDF]

  • Im, H.Y., & Chong, S.C. (2009). Computation of mean size is based on perceived size. Attention, Perception, & Psychophysics, 71, 375-384. [PDF] [Demo]

  • 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, 351-370.

Manuscripts under review (Email me for a preprint)

  • Im, H.Y., & Song, J-H., Paradoxical benefits of attentional distraction for visuomotor adaptation without awareness.

  • Kveraga, K., Im, H.Y., Ward, N., & Adams, R.B.Jr., Fast saccadic and manual responses to faces presented to the koniocellular visual pathway.