Publications

Hojin Jang , Frank Tong (2024). Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks. Nature Communications, 15(1), 1989.

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Hojin Jang , Syed Suleman Abbas Zaidi , Xavier Boix , Neeraj Prasad , Sharon Gilad-Gutnick , Shlomit Ben-Ami , Pawan Sinha (2023). Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations?. Neural Computation, 35(12), 1910-1937.

Hojin Jang , Devin McCormack , Frank Tong (2021). Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images. PLoS biology, 19(12), e3001418.

Hojin Jang , Frank Tong (2021). Convolutional neural networks trained with a developmental sequence of blurry to clear images reveal core differences between face and object processing. Journal of Vision, 21(12), 6-6.

Frank Tong , Hojin Jang (2021). Noise-robust neural networks and methods thereof. U.S. Patent, 11030487.

Kim, Hyun-Chul , Hojin Jang , Jong-Hwan Lee (2020). Test–retest reliability of spatial patterns from resting-state functional MRI using the restricted Boltzmann machine and hierarchically organized spatial patterns from the deep belief network. Journal of Neuroscience Methods, 330, 108451.

Rane Swati , Eshin Jolly , Anne Park , Hojin Jang , Cameron Craddock (2017). Developing predictive imaging biomarkers using whole-brain classifiers: Application to the ABIDE I dataset. Research Ideas and Outcomes, 3, e12733.

Hojin Jang , Sergey M. Plis , Vince D. Calhoun , Jong-Hwan Lee (2017). Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks. Neuroimage, 145, 314-328.