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Nicholas B. Turk-Browne
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2020 – today
- 2024
- [i5]Arman Afrasiyabi, Dhananjay Bhaskar, Erica L. Busch, Laurent Caplette, Rahul Singh, Guillaume Lajoie, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Latent Representation Learning for Multimodal Brain Activity Translation. CoRR abs/2409.18462 (2024) - [i4]Arman Afrasiyabi, Erica L. Busch, Rahul Singh, Dhananjay Bhaskar, Laurent Caplette, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Looking through the mind's eye via multimodal encoder-decoder networks. CoRR abs/2410.00047 (2024) - 2023
- [j24]Brynn E. Sherman
, Ayman Aljishi, Kathryn N. Graves, Imran H. Quraishi
Intracranial Entrainment Reveals Statistical Learning across Levels of Abstraction. J. Cogn. Neurosci. 35(8): 1312-1328 (2023) - [j23]Erica L. Busch
Multi-view manifold learning of human brain-state trajectories. Nat. Comput. Sci. 3(3): 240-253 (2023) - [j22]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: 120221 (2023) - 2022
- [j21]Samuel D. McDougle
Revisiting the Role of the Medial Temporal Lobe in Motor Learning. J. Cogn. Neurosci. 34(3): 532-549 (2022) - [j20]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: 119295 (2022) - [c12]Jessie Huang, Erica L. Busch
Learning Shared Neural Manifolds from Multi-Subject FMRI Data. MLSP 2022: 1-6 - [c11]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 - [i3]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 abs/2201.00622 (2022) - 2021
- [j19]Matthew F. Panichello, Nicholas B. Turk-Browne:
Behavioral and Neural Fusion of Expectation with Sensation. J. Cogn. Neurosci. 33(5): 814-825 (2021) - [j18]Tristan Yates
Emergence and organization of adult brain function throughout child development. NeuroImage 226: 117606 (2021) - [j17]Anqi Wu
Brain kernel: A new spatial covariance function for fMRI data. NeuroImage 245: 118580 (2021) - 2020
- [j16]Peter Kok
Content-based Dissociation of Hippocampal Involvement in Prediction. J. Cogn. Neurosci. 32(3): 527-545 (2020) - [j15]Manoj Kumar
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLoS Comput. Biol. 16(1) (2020) - [j14]Sreejan Kumar
Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain. PLoS Comput. Biol. 16(12) (2020) - [c10]Bastian Rieck
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. NeurIPS 2020 - [i2]Bastian Rieck
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. CoRR abs/2006.07882 (2020)
2010 – 2019
- 2019
- [j13]Megan T. deBettencourt, Nicholas B. Turk-Browne, Kenneth A. Norman:
Neurofeedback helps to reveal a relationship between context reinstatement and memory retrieval. NeuroImage 200: 292-301 (2019) - [c9]Guixiang Ma, Nesreen K. Ahmed
Deep Graph Similarity Learning for Brain Data Analysis. CIKM 2019: 2743-2751 - [c8]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: 2905-2911 - 2018
- [j12]Judith E. Fan
Common Object Representations for Visual Production and Recognition. Cogn. Sci. 42(8): 2670-2698 (2018) - [j11]Mariam Aly
Learning Naturalistic Temporal Structure in the Posterior Medial Network. J. Cogn. Neurosci. 30(9) (2018) - [j10]Alexa Tompary, Naseem Al-Aidroos
Attending to What and Where: Background Connectivity Integrates Categorical and Spatial Attention. J. Cogn. Neurosci. 30(9) (2018) - [c7]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 - [c6]Javier S. Turek
Capturing Shared and Individual Information in fMRI Data. ICASSP 2018: 826-830 - [i1]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 abs/1811.02662 (2018) - 2017
- [j9]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): 37-51 (2017) - [j8]Vikranth R. Bejjanki, Rava Azeredo da Silveira
Noise correlations in the human brain and their impact on pattern classification. PLoS Comput. Biol. 13(8) (2017) - 2016
- [j7]J. Benjamin Hutchinson
Biased Competition during Long-term Memory Formation. J. Cogn. Neurosci. 28(1): 187-197 (2016) - [c5]Yida Wang, Bryn Keller
Real-time full correlation matrix analysis of fMRI data. IEEE BigData 2016: 1242-1251 - 2015
- [c4]Judith E. Fan, Daniel Yamins, Nicholas B. Turk-Browne:
Common object representations for visual recognition and production. CogSci 2015 - [c3]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: 23:1-23:12 - 2014
- [j6]Anna C. Schapiro
The Necessity of the Medial Temporal Lobe for Statistical Learning. J. Cogn. Neurosci. 26(8): 1736-1747 (2014) - [c2]Jeremy R. Manning
Hierarchical topographic factor analysis. PRNI 2014: 1-4 - [c1]Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne:
Mapping core similarity among visual objects across image modalities. SIGGRAPH Posters 2014: 67:1 - 2013
- [j5]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): 2086-2106 (2013) - [j4]Nicholas B. Turk-Browne, Julie D. Golomb
Complementary attentional components of successful memory encoding. NeuroImage 66: 553-562 (2013) - 2012
- [j3]Sara C. Verosky, Nicholas B. Turk-Browne:
Representations of Facial Identity in the Left Hemisphere Require Right Hemisphere Processing. J. Cogn. Neurosci. 24(4): 1006-1017 (2012)
2000 – 2009
- 2009
- [j2]Nicholas B. Turk-Browne, Brian J. Scholl, Marvin M. Chun
Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness. J. Cogn. Neurosci. 21(10): 1934-1945 (2009) - 2008
- [j1]Do-Joon Yi, Nicholas B. Turk-Browne, Marvin M. Chun
When a Thought Equals a Look: Refreshing Enhances Perceptual Memory. J. Cogn. Neurosci. 20(8): 1371-1380 (2008)
Coauthor Index
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