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)

Representations of Facial Identity in the Left Hemisphere Require Right Hemisphere Processing. - Sara C. Verosky; Nicholas B. Turk-Browne (J. Cogn. Neurosci., 2012)

Robust Selectivity for Faces in the Human Amygdala in the Absence of Expressions. - Peter Mende-Siedlecki; Sara C. Verosky; Nicholas B. Turk-Browne; Alexander Todorov (J. Cogn. Neurosci., 2013)

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

Hierarchical topographic factor analysis. - Jeremy R. Manning; Rajesh Ranganath; Waitsang Keung; Nicholas B. Turk-Browne; Jonathan D. Cohen 003; Kenneth A. Norman; David M. Blei (PRNI, 2014)

Mapping core similarity among visual objects across image modalities. - Judith E. Fan; Daniel Yamins; James J. DiCarlo; Nicholas B. Turk-Browne (SIGGRAPH Posters, 2014)

The Necessity of the Medial Temporal Lobe for Statistical Learning. - Anna C. Schapiro; Emma Gregory; Barbara Landau; Michael McCloskey; Nicholas B. Turk-Browne (J. Cogn. Neurosci., 2014)

Common object representations for visual recognition and production. - Judith E. Fan; Daniel Yamins; Nicholas B. Turk-Browne (CogSci, 2015)

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. - Yida Wang 003; Michael J. Anderson; Jonathan D. Cohen 003; Alexander Heinecke; Kai Li 001; Nadathur Satish; Narayanan Sundaram; Nicholas B. Turk-Browne; Theodore L. Willke (SC, 2015)

Real-time full correlation matrix analysis of fMRI data. - Yida Wang 003; Bryn Keller; Mihai Capota; Michael J. Anderson; Narayanan Sundaram; Jonathan D. Cohen 003; Kai Li 001; Nicholas B. Turk-Browne; Theodore L. Willke (IEEE BigData, 2016)

Biased Competition during Long-term Memory Formation. - J. Benjamin Hutchinson; Sarah S. Pak; Nicholas B. Turk-Browne (J. Cogn. Neurosci., 2016)

Hippocampal Structure Predicts Statistical Learning and Associative Inference Abilities during Development. - Margaret L. Schlichting; Katharine F. Guarino; Anna C. Schapiro; Nicholas B. Turk-Browne; Alison R. Preston (J. Cogn. Neurosci., 2017)

Noise correlations in the human brain and their impact on pattern classification. - Vikranth R. Bejjanki; Rava Azeredo da Silveira; Jonathan D. Cohen 003; Nicholas B. Turk-Browne (PLoS Comput. Biol., 2017)

A mouse-tracking study of how exceptions to a probabilistic generalization are learned. - Karina Tachihara; Kenneth A. Norman; Nicholas B. Turk-Browne; Adele E. Goldberg (CogSci, 2018)

Capturing Shared and Individual Information in fMRI Data. - Javier S. Turek; Cameron T. Ellis; Lena J. Skalaban; Nicholas B. Turk-Browne; Theodore L. Willke (ICASSP, 2018)

Common Object Representations for Visual Production and Recognition. - Judith E. Fan; Daniel L. K. Yamins; Nicholas B. Turk-Browne (Cogn. Sci., 2018)

Similarity Learning with Higher-Order Proximity for Brain Network Analysis. - Guixiang Ma; Nesreen K. Ahmed; Theodore L. Willke; Dipanjan Sengupta; Michael W. Cole; Nicholas B. Turk-Browne; Philip S. Yu (CoRR, 2018)

Learning Naturalistic Temporal Structure in the Posterior Medial Network. - Mariam Aly; Janice Chen; Nicholas B. Turk-Browne; Uri Hasson (J. Cogn. Neurosci., 2018)

Attending to What and Where: Background Connectivity Integrates Categorical and Spatial Attention. - Alexa Tompary; Naseem Al-Aidroos; Nicholas B. Turk-Browne (J. Cogn. Neurosci., 2018)

Deep Graph Similarity Learning for Brain Data Analysis. - Guixiang Ma; Nesreen K. Ahmed; Theodore L. Willke; Dipanjan Sengupta; Michael W. Cole; Nicholas B. Turk-Browne; Philip S. Yu (CIKM, 2019)

A generalization becomes suppressed over time in the context of exceptions. - Karina Tachihara; Kenneth A. Norman; Nicholas B. Turk-Browne; Adele E. Goldberg (CogSci, 2019)

Neurofeedback helps to reveal a relationship between context reinstatement and memory retrieval. - Megan T. deBettencourt; Nicholas B. Turk-Browne; Kenneth A. Norman (NeuroImage, 2019)

Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. - Bastian Rieck; Tristan Yates; Christian Bock; Karsten M. Borgwardt; Guy Wolf; Nicholas B. Turk-Browne; Smita Krishnaswamy (NeurIPS, 2020)

Content-based Dissociation of Hippocampal Involvement in Prediction. - Peter Kok; Lindsay I. Rait; Nicholas B. Turk-Browne (J. Cogn. Neurosci., 2020)

BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. - Manoj Kumar; Cameron T. Ellis; Qihong Lu; Hejia Zhang; Mihai Capota; Theodore L. Willke; Peter J. Ramadge; Nicholas B. Turk-Browne; Kenneth A. Norman (PLoS Comput. Biol., 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)

Behavioral and Neural Fusion of Expectation with Sensation. - Matthew F. Panichello; Nicholas B. Turk-Browne (J. Cogn. Neurosci., 2021)

Brain kernel: A new spatial covariance function for fMRI data. - Anqi Wu; Samuel A. Nastase; Christopher Baldassano; Nicholas B. Turk-Browne; Kenneth A. Norman; Barbara E. Engelhardt; Jonathan W. Pillow (NeuroImage, 2021)

Emergence and organization of adult brain function throughout child development. - Tristan Yates; Cameron T. Ellis; Nicholas B. Turk-Browne (NeuroImage, 2021)

Learning Shared Neural Manifolds from Multi-Subject FMRI Data. - Jessie Huang; Erica L. Busch; Tom Wallenstein; Michal Gerasimiuk; Andrew Benz; Guillaume Lajoie; Guy Wolf; Nicholas B. Turk-Browne; Smita Krishnaswamy (MLSP, 2022)

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? - Chengxu Zhuang; Ziyu Xiang; Yoon Bai; Xiaoxuan Jia; Nicholas B. Turk-Browne; Kenneth A. Norman; James J. DiCarlo; Dan Yamins (NeurIPS, 2022)

Revisiting the Role of the Medial Temporal Lobe in Motor Learning. - Samuel D. McDougle; Sarah A. Wilterson; Nicholas B. Turk-Browne; Jordan A. Taylor (J. Cogn. Neurosci., 2022)

RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI. - Grant Wallace; Stephen Polcyn; Paula P. Brooks; Anne C. Mennen; Ke Zhao; Paul S. Scotti; Sebastian Michelmann; Kai Li 001; Nicholas B. Turk-Browne; Jonathan D. Cohen 003; Kenneth A. Norman (NeuroImage, 2022)

Multi-view manifold learning of human brain-state trajectories. - Erica L. Busch; Jessie Huang; Andrew Benz; Tom Wallenstein; Guillaume Lajoie; Guy Wolf; Smita Krishnaswamy; Nicholas B. Turk-Browne (Nat. Comput. Sci., 2023)

Intracranial Entrainment Reveals Statistical Learning across Levels of Abstraction. - Brynn E. Sherman; Ayman Aljishi; Kathryn N. Graves; Imran H. Quraishi; Adithya Sivaraju; Eyiyemisi C. Damisah; Nicholas B. Turk-Browne (J. Cogn. Neurosci., 2023)

Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity. - Y. Peeta Li; Yida Wang 003; Nicholas B. Turk-Browne; Brice A. Kuhl; J. Benjamin Hutchinson (NeuroImage, 2023)

Looking through the mind's eye via multimodal encoder-decoder networks. - Arman Afrasiyabi; Erica L. Busch; Rahul Singh; Dhananjay Bhaskar; Laurent Caplette; Nicholas B. Turk-Browne; Smita Krishnaswamy (CoRR, 2024)

Acute Stress Effects on Statistical Learning and Episodic Memory. - Brynn E. Sherman; Isabella Huang; Elaine G. Wijaya; Nicholas B. Turk-Browne; Elizabeth V. Goldfarb (J. Cogn. Neurosci., 2024)

Latent Representation Learning for Multimodal Brain Activity Translation. - Arman Afrasiyabi; Dhananjay Bhaskar; Erica L. Busch; Laurent Caplette; Rahul Singh; Guillaume Lajoie; Nicholas B. Turk-Browne; Smita Krishnaswamy (ICASSP, 2025)