Brain and Machine Cognition Lab
Brain and Machine Cognition Lab
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Publications
Type
Journal article
Patent
Date
2025
2024
2023
2021
2020
2017
Hojin Jang
,
Frank Tong
(2025).
Category-specific perceptual learning of robust object recognition modelled using deep neural networks
.
PLOS Computational Biology, 21
(9), e1013529.
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Nguyen Xuan-Bac
,
Hojin Jang
,
Xin Li
,
Samee U. Khan
,
Pawan Sinha
,
Khoa Luu
(2025).
Bractive: A brain activation approach to human visual brain learning
.
IEEE Transactions on Pattern Analysis and Machine Intelligence
1-12.
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Link
Hojin Jang
,
Pawan Sinha
,
Xavier Boix
(2025).
Configural processing as an optimized strategy for robust object recognition in neural networks
.
Communications Biology, 8
(1), 386.
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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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Video
Link
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.
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Link
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.
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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.
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Link
Frank Tong
,
Hojin Jang
(2021).
Noise-robust neural networks and methods thereof
.
U.S. Patent, 11030487
.
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Link
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.
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Link
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.
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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.
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