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Marvin M. Chun
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2020 – today
- 2022
- [j18]Kwangsun Yoo
, Monica D. Rosenberg, Young Hye Kwon, Dustin Scheinost, R. Todd Constable
, Marvin M. Chun:
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. NeuroImage 257: 119279 (2022) - 2021
- [j17]Qi Lin
, Kwangsun Yoo, Xilin Shen, Robert Todd Constable, Marvin M. Chun:
Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory. J. Cogn. Neurosci. 33(11): 2279-2296 (2021) - 2020
- [j16]Emily W. Avery
, Kwangsun Yoo
, Monica D. Rosenberg
, Abigail S. Greene
, Siyuan Gao, Duk L. Na, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
:
Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. J. Cogn. Neurosci. 32(2): 241-255 (2020) - [j15]Dustin Scheinost, Tiffany W. Hsu, Emily W. Avery
, Michelle Hampson
, R. Todd Constable
, Marvin M. Chun
, Monica D. Rosenberg
:
Connectome-based neurofeedback: A pilot study to improve sustained attention. NeuroImage 212: 116684 (2020) - [j14]Sreejan Kumar
, Cameron T. Ellis, Thomas P. O'Connell
, Marvin M. Chun
, Nicholas B. Turk-Browne:
Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain. PLoS Comput. Biol. 16(12) (2020)
2010 – 2019
- 2019
- [j13]Angus Ho Ching Fong, Kwangsun Yoo
, Monica D. Rosenberg
, Sheng Zhang, Chiang-shan Ray Li
, Dustin Scheinost, R. Todd Constable
, Marvin M. Chun
:
Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies. NeuroImage 188: 14-25 (2019) - [j12]Kwangsun Yoo
, Monica D. Rosenberg
, Stephanie Noble
, Dustin Scheinost, R. Todd Constable
, Marvin M. Chun
:
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. NeuroImage 197: 212-223 (2019) - 2018
- [j11]Monica D. Rosenberg
, Wei-Ting Hsu
, Dustin Scheinost
, R. Todd Constable
, Marvin M. Chun
:
Connectome-based Models Predict Separable Components of Attention in Novel Individuals. J. Cogn. Neurosci. 30(2) (2018) - [j10]Kwangsun Yoo
, Monica D. Rosenberg
, Wei-Ting Hsu
, Sheng Zhang, Chiang-shan Ray Li
, Dustin Scheinost
, R. Todd Constable
, Marvin M. Chun
:
Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. NeuroImage 167: 11-22 (2018) - 2015
- [j9]Monica D. Rosenberg
, Emily S. Finn
, R. Todd Constable
, Marvin M. Chun
:
Predicting moment-to-moment attentional state. NeuroImage 114: 249-256 (2015) - 2014
- [j8]Alan S. Cowen
, Marvin M. Chun
, Brice A. Kuhl:
Neural portraits of perception: Reconstructing face images from evoked brain activity. NeuroImage 94: 12-22 (2014) - 2013
- [j7]Katherine Sledge Moore, Do-Joon Yi, Marvin M. Chun
:
The Effect of Attention on Repetition Suppression and Multivoxel Pattern Similarity. J. Cogn. Neurosci. 25(8): 1305-1314 (2013) - [j6]Nicholas B. Turk-Browne, Julie D. Golomb
, Marvin M. Chun
:
Complementary attentional components of successful memory encoding. NeuroImage 66: 553-562 (2013) - 2010
- [j5]Soojin Park, Marvin M. Chun
, Marcia K. Johnson:
Refreshing and Integrating Visual Scenes in Scene-selective Cortex. J. Cogn. Neurosci. 22(12): 2813-2822 (2010)
2000 – 2009
- 2009
- [j4]Nicholas B. Turk-Browne, Brian J. Scholl, Marvin M. Chun
, Marcia K. Johnson:
Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness. J. Cogn. Neurosci. 21(10): 1934-1945 (2009) - [j3]Soojin Park, Marvin M. Chun
:
Different roles of the parahippocampal place area (PPA) and retrosplenial cortex (RSC) in panoramic scene perception. NeuroImage 47(4): 1747-1756 (2009) - 2008
- [j2]Do-Joon Yi, Nicholas B. Turk-Browne, Marvin M. Chun
, Marcia K. Johnson:
When a Thought Equals a Look: Refreshing Enhances Perceptual Memory. J. Cogn. Neurosci. 20(8): 1371-1380 (2008) - 2006
- [j1]Steven B. Most
, Marvin M. Chun
, Matthew R. Johnson, Kent A. Kiehl:
Attentional modulation of the amygdala varies with personality. NeuroImage 31(2): 934-944 (2006)
Coauthor Index
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