Nicholas B. Turk-Browne

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 29

Top Topics

Statistical Learning

Manifold Learning

Object Representation

Top Venues

J. Cogn. Neurosci.

Publications

Brynn E. Sherman, Ayman Aljishi, Kathryn N. Graves, Imran H. Quraishi, Adithya Sivaraju, Eyiyemisi C. Damisah, Nicholas B. Turk-Browne
Intracranial Entrainment Reveals Statistical Learning across Levels of Abstraction. J. Cogn. Neurosci. 35 (8) (2023)
Y. Peeta Li, Yida Wang, Nicholas B. Turk-Browne, Brice A. Kuhl, J. Benjamin Hutchinson
Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity. NeuroImage 276 (2023)
Erica L. Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy, Nicholas B. Turk-Browne
Multi-view manifold learning of human brain-state trajectories. Nat. Comput. Sci. 3 (3) (2023)
Chengxu Zhuang, Ziyu Xiang, Yoon Bai, Xiaoxuan Jia, Nicholas B. Turk-Browne, Kenneth A. Norman, James J. DiCarlo, Dan Yamins
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? NeurIPS (2022)
Samuel D. McDougle, Sarah A. Wilterson, Nicholas B. Turk-Browne, Jordan A. Taylor
Revisiting the Role of the Medial Temporal Lobe in Motor Learning. J. Cogn. Neurosci. 34 (3) (2022)
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Learning shared neural manifolds from multi-subject FMRI data. CoRR (2022)
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Learning Shared Neural Manifolds from Multi-Subject FMRI Data. MLSP (2022)
Grant Wallace, Stephen Polcyn, Paula P. Brooks, Anne C. Mennen, Ke Zhao, Paul S. Scotti, Sebastian Michelmann, Kai Li, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman
RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI. NeuroImage 257 (2022)
Tristan Yates, Cameron T. Ellis, Nicholas B. Turk-Browne
Emergence and organization of adult brain function throughout child development. NeuroImage 226 (2021)
Matthew F. Panichello, Nicholas B. Turk-Browne
Behavioral and Neural Fusion of Expectation with Sensation. J. Cogn. Neurosci. 33 (5) (2021)
Anqi Wu, Samuel A. Nastase, Christopher A. Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow
Brain kernel: A new spatial covariance function for fMRI data. NeuroImage 245 (2021)
Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. NeurIPS (2020)
Peter Kok, Lindsay I. Rait, Nicholas B. Turk-Browne
Content-based Dissociation of Hippocampal Involvement in Prediction. J. Cogn. Neurosci. 32 (3) (2020)
Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. CoRR (2020)
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)
Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLoS Comput. Biol. 16 (1) (2020)
Megan T. deBettencourt, Nicholas B. Turk-Browne, Kenneth A. Norman
Neurofeedback helps to reveal a relationship between context reinstatement and memory retrieval. NeuroImage 200 (2019)
Karina Tachihara, Kenneth A. Norman, Nicholas B. Turk-Browne, Adele E. Goldberg
A generalization becomes suppressed over time in the context of exceptions. CogSci (2019)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
Deep Graph Similarity Learning for Brain Data Analysis. CIKM (2019)
Mariam Aly, Janice Chen, Nicholas B. Turk-Browne, Uri Hasson
Learning Naturalistic Temporal Structure in the Posterior Medial Network. J. Cogn. Neurosci. 30 (9) (2018)
Javier S. Turek, Cameron T. Ellis, Lena J. Skalaban, Nicholas B. Turk-Browne, Theodore L. Willke
Capturing Shared and Individual Information in fMRI Data. ICASSP (2018)
Alexa Tompary, Naseem Al-Aidroos, Nicholas B. Turk-Browne
Attending to What and Where: Background Connectivity Integrates Categorical and Spatial Attention. J. Cogn. Neurosci. 30 (9) (2018)
Karina Tachihara, Kenneth A. Norman, Nicholas B. Turk-Browne, Adele E. Goldberg
A mouse-tracking study of how exceptions to a probabilistic generalization are learned. CogSci (2018)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR (2018)
Judith E. Fan, Daniel L. K. Yamins, Nicholas B. Turk-Browne
Common Object Representations for Visual Production and Recognition. Cogn. Sci. 42 (8) (2018)
Margaret L. Schlichting, Katharine F. Guarino, Anna C. Schapiro, Nicholas B. Turk-Browne, Alison R. Preston
Hippocampal Structure Predicts Statistical Learning and Associative Inference Abilities during Development. J. Cogn. Neurosci. 29 (1) (2017)
Vikranth R. Bejjanki, Rava Azeredo da Silveira, Jonathan D. Cohen, Nicholas B. Turk-Browne
Noise correlations in the human brain and their impact on pattern classification. PLoS Comput. Biol. 13 (8) (2017)
J. Benjamin Hutchinson, Sarah S. Pak, Nicholas B. Turk-Browne
Biased Competition during Long-term Memory Formation. J. Cogn. Neurosci. 28 (1) (2016)
Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke
Real-time full correlation matrix analysis of fMRI data. IEEE BigData (2016)
Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke
Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. SC (2015)
Judith E. Fan, Daniel Yamins, Nicholas B. Turk-Browne
Common object representations for visual recognition and production. CogSci (2015)
Anna C. Schapiro, Emma Gregory, Barbara Landau, Michael McCloskey, Nicholas B. Turk-Browne
The Necessity of the Medial Temporal Lobe for Statistical Learning. J. Cogn. Neurosci. 26 (8) (2014)
Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne
Mapping core similarity among visual objects across image modalities. SIGGRAPH Posters (2014)
Jeremy R. Manning, Rajesh Ranganath, Waitsang Keung, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman, David M. Blei
Hierarchical topographic factor analysis. PRNI (2014)
Peter Mende-Siedlecki, Sara C. Verosky, Nicholas B. Turk-Browne, Alexander Todorov
Robust Selectivity for Faces in the Human Amygdala in the Absence of Expressions. J. Cogn. Neurosci. 25 (12) (2013)
Nicholas B. Turk-Browne, Julie D. Golomb, Marvin M. Chun
Complementary attentional components of successful memory encoding. NeuroImage 66 (2013)
Sara C. Verosky, Nicholas B. Turk-Browne
Representations of Facial Identity in the Left Hemisphere Require Right Hemisphere Processing. J. Cogn. Neurosci. 24 (4) (2012)
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) (2009)
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) (2008)