Attentional modulation of the amygdala varies with personality. - Steven B. Most; Marvin M. Chun; Matthew R. Johnson 002; Kent A. Kiehl (NeuroImage, 2006)

When a Thought Equals a Look: Refreshing Enhances Perceptual Memory. - Do-Joon Yi; Nicholas B. Turk-Browne; Marvin M. Chun; Marcia K. Johnson (J. Cogn. Neurosci., 2008)

Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness. - Nicholas B. Turk-Browne; Brian J. Scholl; Marvin M. Chun; Marcia K. Johnson (J. Cogn. Neurosci., 2009)

Different roles of the parahippocampal place area (PPA) and retrosplenial cortex (RSC) in panoramic scene perception. - Soojin Park; Marvin M. Chun (NeuroImage, 2009)

Refreshing and Integrating Visual Scenes in Scene-selective Cortex. - Soojin Park; Marvin M. Chun; Marcia K. Johnson (J. Cogn. Neurosci., 2010)

The Effect of Attention on Repetition Suppression and Multivoxel Pattern Similarity. - Katherine Sledge Moore; Do-Joon Yi; Marvin M. Chun (J. Cogn. Neurosci., 2013)

Complementary attentional components of successful memory encoding. - Nicholas B. Turk-Browne; Julie D. Golomb; Marvin M. Chun (NeuroImage, 2013)

Neural portraits of perception: Reconstructing face images from evoked brain activity. - Alan S. Cowen; Marvin M. Chun; Brice A. Kuhl (NeuroImage, 2014)

Predicting moment-to-moment attentional state. - Monica D. Rosenberg; Emily S. Finn; R. Todd Constable; Marvin M. Chun (NeuroImage, 2015)

Connectome-based Models Predict Separable Components of Attention in Novel Individuals. - Monica D. Rosenberg; Wei-Ting Hsu; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (J. Cogn. Neurosci., 2018)

Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. - Kwangsun Yoo; Monica D. Rosenberg; Wei-Ting Hsu; Sheng Zhang 005; Chiang-shan Ray Li; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (NeuroImage, 2018)

Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies. - Angus Ho Ching Fong; Kwangsun Yoo; Monica D. Rosenberg; Sheng Zhang 005; Chiang-shan Ray Li; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (NeuroImage, 2019)

Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. - Kwangsun Yoo; Monica D. Rosenberg; Stephanie Noble; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (NeuroImage, 2019)

Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. - Emily W. Avery; Kwangsun Yoo; Monica D. Rosenberg; Abigail S. Greene; Siyuan Gao; Duk L. Na; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (J. Cogn. Neurosci., 2020)

Connectome-based neurofeedback: A pilot study to improve sustained attention. - Dustin Scheinost; Tiffany W. Hsu; Emily W. Avery; Michelle Hampson; R. Todd Constable; Marvin M. Chun; Monica D. Rosenberg (NeuroImage, 2020)

Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain. - Sreejan Kumar; Cameron T. Ellis; Thomas P. O'Connell; Marvin M. Chun; Nicholas B. Turk-Browne (PLoS Comput. Biol., 2020)

Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory. - Qi Lin; Kwangsun Yoo; Xilin Shen; Robert Todd Constable; Marvin M. Chun (J. Cogn. Neurosci., 2021)

A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. - Kwangsun Yoo; Monica D. Rosenberg; Young Hye Kwon; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (NeuroImage, 2022)