2026 Nicholas B. Turk-Browne: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	59	3937	3605	1785	1608	257	18841

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

3937

3605

1785

1608

257

18841

Overview

Nicholas B. Turk-Browne is a researcher affiliated with Yale University in the United States, specializing primarily in the field of neuroscience. Their work encompasses a range of subfields including cognitive neuroscience, cellular and molecular neuroscience, developmental and educational psychology, computer vision and pattern recognition, and radiology, nuclear medicine, and imaging.

The main research topics Nicholas focuses on involve neural dynamics and brain function, memory and neural mechanisms, functional brain connectivity studies, visual perception and processing mechanisms, neuroscience and neuropharmacology research, face recognition and perception, and neural and behavioral psychology studies.

Their recent publications demonstrate a focus on both cognitive and neural mechanisms underlying learning and brain function. These include:

Learning hierarchical sequence representations across human cortex and hippocampus (2021, Science Advances)
The prevalence and importance of statistical learning in human cognition and behavior (2020, Current Opinion in Behavioral Sciences)
Statistical prediction of the future impairs episodic encoding of the present (2020, Proceedings of the National Academy of Sciences)
Re-imagining fMRI for awake behaving infants (2020, Nature Communications)
Evidence of hippocampal learning in human infants (2021, Current Biology)

Frequent collaborators in their work include Cameron T. Ellis, Tristan S. Yates, Kenneth A. Norman, Brynn E. Sherman, and Kathryn N. Graves, indicating strong collaborative research across multiple studies.

Nicholas has published frequently in venues such as bioRxiv (Cold Spring Harbor Laboratory), Journal of Vision, Journal of Cognitive Neuroscience, Proceedings of the National Academy of Sciences, and NeuroImage. These outlets highlight their engagement with both preprint and peer-reviewed formats relevant to neuroscience and cognitive science fields.

Best Publications

Brain charts for the human lifespan

Unknown

2075
Citations
A taxonomy of external and internal attention.

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

1684
Citations
The Automaticity of Visual Statistical Learning

Nicholas B. Turk-Browne;Justin A. Jungé;Brian J. Scholl

1005
Citations
Interactions between attention and memory.

Marvin M Chun;Nicholas B Turk-Browne

804
Citations
Best practices in data analysis and sharing in neuroimaging using MRI.

Thomas E Nichols;Samir Das;Samir Das;Simon B Eickhoff;Simon B Eickhoff;Alan C Evans;Alan C Evans

668
Citations
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

632
Citations
Neural representations of events arise from temporal community structure

Anna C Schapiro;Timothy T Rogers;Natalia I Cordova;Nicholas B Turk-Browne

545
Citations
Shaping of Object Representations in the Human Medial Temporal Lobe Based on Temporal Regularities

Anna C. Schapiro;Lauren V. Kustner;Nicholas B. Turk-Browne

541
Citations
Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning

Anna C. Schapiro;Nicholas B. Turk-Browne;Matthew M. Botvinick;Kenneth A. Norman

536
Citations
Implicit Perceptual Anticipation Triggered by Statistical Learning

Nicholas B. Turk-Browne;Brian J. Scholl;Marcia K. Johnson;Marvin M. Chun

450
Citations
Closed-loop training of attention with real-time brain imaging

Megan T. DeBettencourt;Jonathan D. Cohen;Ray F. Lee;Kenneth Andrew Norman

402
Citations
Attention Is Spontaneously Biased Toward Regularities

Jiaying Zhao;Naseem Al-Aidroos;Nicholas B. Turk-Browne

361
Citations
Statistical learning of temporal community structure in the hippocampus

Anna C. Schapiro;Nicholas B. Turk-Browne;Kenneth A. Norman;Matthew M. Botvinick

338
Citations
The necessity of the medial temporal lobe for statistical learning

Anna C. Schapiro;Emma Gregory;Barbara Landau;Michael McCloskey

325
Citations
Linking Implicit and Explicit Memory: Common Encoding Factors and Shared Representations

Nicholas B. Turk-Browne;Do Joon Yi;Marvin M. Chun

303
Citations
Optimizing real time fMRI neurofeedback for therapeutic discovery and development

L.E. Stoeckel;L.E. Stoeckel;K.A. Garrison;S.S. Ghosh;P. Wighton

282
Citations
Linking pattern completion in the hippocampus to predictive coding in visual cortex

Nicholas C Hindy;Felicia Y Ng;Nicholas B Turk-Browne

272
Citations
Memory-guided attention: control from multiple memory systems

J. Benjamin Hutchinson;Nicholas B. Turk-Browne

258
Citations
Computational approaches to fMRI analysis.

Jonathan D Cohen;Nathaniel Daw;Barbara Engelhardt;Uri Hasson

248
Citations
Neural predictors of moment-to-moment fluctuations in cognitive flexibility

Andrew B. Leber;Nicholas B. Turk-Browne;Marvin M. Chun

239
Citations
Mechanisms for widespread hippocampal involvement in cognition.

Daphna Shohamy;Nicholas B. Turk-Browne

220
Citations