Nicholas B. Turk-Browne

According to our database, Nicholas B. Turk-Browne authored at least 39 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

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

CoRR, 2024

2023

Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity.

Y. Peeta Li, Yida Wang, Nicholas B. Turk-Browne, Brice A. Kuhl, J. Benjamin Hutchinson

NeuroImage, August, 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., August, 2023

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

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, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman

NeuroImage, 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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021

Emergence and organization of adult brain function throughout child development.

Tristan Yates, Cameron T. Ellis, Nicholas B. Turk-Browne

NeuroImage, 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

Behavioral and Neural Fusion of Expectation with Sensation.

Matthew F. Panichello, Nicholas B. Turk-Browne

J. Cogn. Neurosci., 2021

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

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

Content-based Dissociation of Hippocampal Involvement in Prediction.

Peter Kok, Lindsay I. Rait, Nicholas B. Turk-Browne

J. Cogn. Neurosci., 2020

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

A generalization becomes suppressed over time in the context of exceptions.

Karina Tachihara, Kenneth A. Norman, Nicholas B. Turk-Browne, Adele E. Goldberg

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

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

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

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

Learning Naturalistic Temporal Structure in the Posterior Medial Network.

Mariam Aly, Janice Chen, Nicholas B. Turk-Browne, Uri Hasson

J. Cogn. Neurosci., 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

Common Object Representations for Visual Production and Recognition.

Judith E. Fan, Daniel L. K. Yamins, Nicholas B. Turk-Browne

Cogn. Sci., 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

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

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

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Noise correlations in the human brain and their impact on pattern classification.

Vikranth R. Bejjanki, Rava Azeredo da Silveira, Jonathan D. Cohen, Nicholas B. Turk-Browne

PLoS Comput. Biol., 2017

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

2016

Biased Competition during Long-term Memory Formation.

J. Benjamin Hutchinson, Sarah S. Pak, Nicholas B. Turk-Browne

J. Cogn. Neurosci., 2016

Real-time full correlation matrix analysis of fMRI data.

Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors.

Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke

Proceedings of the International Conference for High Performance Computing, 2015

Common object representations for visual recognition and production.

Judith E. Fan, Daniel Yamins, Nicholas B. Turk-Browne

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

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

Mapping core similarity among visual objects across image modalities.

Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

Hierarchical topographic factor analysis.

Jeremy R. Manning, Rajesh Ranganath, Waitsang Keung, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman, David M. Blei

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013

Complementary attentional components of successful memory encoding.

Nicholas B. Turk-Browne, Julie D. Golomb, Marvin M. Chun

NeuroImage, 2013

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

2012

Representations of Facial Identity in the Left Hemisphere Require Right Hemisphere Processing.

Sara C. Verosky, Nicholas B. Turk-Browne

J. Cogn. Neurosci., 2012

2009

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

2008

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