A Hippocampal Model of Recognition Memory. - Randall C. O'Reilly; Kenneth A. Norman; James L. McClelland (NIPS, 1997)

Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal. - Kenneth A. Norman; Ehren L. Newman; Adler J. Perotte (Neural Networks, 2005)

How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors. - Kenneth A. Norman; Ehren L. Newman; Greg Detre; Sean Polyn (Neural Comput., 2006)

A Bayesian Analysis of Dynamics in Free Recall. - Richard Socher; Samuel Gershman; Adler J. Perotte; Per B. Sederberg; David M. Blei; Kenneth A. Norman (NIPS, 2009)

A topographic latent source model for fMRI data. - Samuel Gershman; David M. Blei; Francisco Pereira 001; Kenneth A. Norman (NeuroImage, 2011)

The Successor Representation and Temporal Context. - Samuel Gershman; Christopher D. Moore; Michael T. Todd; Kenneth A. Norman; Per B. Sederberg (Neural Comput., 2012)

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)

What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis. - Tyler Davis; Karen F. LaRocque; Jeanette A. Mumford; Kenneth A. Norman; Anthony D. Wagner; Russell A. Poldrack (NeuroImage, 2014)

Decomposing spatiotemporal brain patterns into topographic latent sources. - Samuel Gershman; David M. Blei; Kenneth A. Norman; Per B. Sederberg (NeuroImage, 2014)

Statistical Computations Underlying the Dynamics of Memory Updating. - Samuel Gershman; Angela Radulescu; Kenneth A. Norman; Yael Niv (PLoS Comput. Biol., 2014)

Enabling factor analysis on thousand-subject neuroimaging datasets. - Michael J. Anderson; Mihai Capota; Javier S. Turek; Xia Zhu; Theodore L. Willke; Yida Wang 003; Po-Hsuan Chen; Jeremy R. Manning; Peter J. Ramadge; Kenneth A. Norman (IEEE BigData, 2016)

Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. - Kiran Vodrahalli; Po-Hsuan Chen; Yingyu Liang; Janice Chen; Esther Yong; Christopher J. Honey; Peter J. Ramadge; Kenneth A. Norman; Sanjeev Arora (CoRR, 2016)

Multiple-object Tracking as a Tool for Parametrically Modulating Memory Reactivation. - Jordan Poppenk; Kenneth A. Norman (J. Cogn. Neurosci., 2017)

Measuring representational similarity across neural networks. - Qihong Lu; Peter J. Ramadge; Kenneth A. Norman; Uri Hasson (CogSci, 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 (CogSci, 2018)

Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks. - C. Daniel Greenidge; Noam Miller; Kenneth A. Norman (CoRR, 2018)

Shared Representational Geometry Across Neural Networks. - Qihong Lu; Po-Hsuan Chen; Jonathan W. Pillow; Peter J. Ramadge; Kenneth A. Norman; Uri Hasson (CoRR, 2018)

A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. - Jeremy R. Manning; Xia Zhu; Theodore L. Willke; Rajesh Ranganath; Kimberly L. Stachenfeld; Uri Hasson; David M. Blei; Kenneth A. Norman (NeuroImage, 2018)

Mapping between fMRI responses to movies and their natural language annotations. - Kiran Vodrahalli; Po-Hsuan Chen; Yingyu Liang; Christopher Baldassano; Janice Chen; Esther Yong; Christopher J. Honey; Uri Hasson; Peter J. Ramadge; Kenneth A. Norman; Sanjeev Arora (NeuroImage, 2018)

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)

Learning to Apply Schematic Knowledge to Novel Instances. - Catherine Chen; Qihong Lu; Andre Beukers; Christopher Baldassano; Kenneth A. Norman (CoRR, 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)

Learning Generalizations and Exceptions: the Good, the Bad and the Unpredictable. - Karina Tachihara; Adele E. Goldberg; Kenneth A. Norman (CogSci, 2020)

Self-Other Similarity Modulates the Socially-Triggered Context-Based Prediction Error Effect on Memory. - Madalina Vlasceanu; Michael J. Morais; Zidong Zhao; Aaron M. Bornstein; Diana I. Tamir; Kenneth A. Norman; Alin Coman (CogSci, 2020)

The method of loci is an optimal policy for memory search. - Qiong Zhang; Kenneth A. Norman; Tom Griffiths 001 (CogSci, 2020)

Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space. - Samuel A. Nastase; Yun-Fei Liu; Hanna Hillman; Kenneth A. Norman; Uri Hasson (NeuroImage, 2020)

Temporal integration of narrative information in a hippocampal amnesic patient. - Xiaoye Zuo; Christopher J. Honey; Morgan D. Barense; Davide Crombie; Kenneth A. Norman; Uri Hasson; Janice Chen (NeuroImage, 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)

Relating the Past with the Present: Information Integration and Segregation during Ongoing Narrative Processing. - Claire H. C. Chang; Christina Lazaridi; Yaara Yeshurun; Kenneth A. Norman; Uri Hasson (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)

Event Segmentation In Story Listening Using Deep Language Models. - Manoj Kumar; Ariel Goldstein; Sebastian Michelmann; Jeffrey M. Zacks; Kenneth A. Norman; Uri Hasson (CogSci, 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)

High-Order Areas and Auditory Cortex Both Represent the High-Level Event Structure of Music. - Jamal A. Williams; Elizabeth H. Margulis; Samuel A. Nastase; Janice Chen; Uri Hasson; Kenneth A. Norman; Christopher Baldassano (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)

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors. - Paul S. Scotti; Atmadeep Banerjee; Jimmie Goode; Stepan Shabalin; Alex Nguyen; Ethan Cohen; Aidan J. Dempster; Nathalie Verlinde; Elad Yundler; David Weisberg; Kenneth A. Norman; Tanishq Mathew Abraham (NeurIPS, 2023)

Large language models can segment narrative events similarly to humans. - Sebastian Michelmann; Manoj Kumar; Kenneth A. Norman; Mariya Toneva (CoRR, 2023)

Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference. - Qihong Lu; Tan T. Nguyen; Qiong Zhang; Uri Hasson; Thomas L. Griffiths 001; Jeffrey M. Zacks; Samuel J. Gershman; Kenneth A. Norman (CoRR, 2023)

Data and code from: Large language models can segment narrative events similarly to humans. - Sebastian Michelmann; Manoj Kumar; Kenneth A. Norman; Mariya Toneva (Zenodo, 2023)

Bayesian Surprise Predicts Human Event Segmentation in Story Listening. - Manoj Kumar; Ariel Goldstein; Sebastian Michelmann; Jeffrey M. Zacks; Uri Hasson; Kenneth A. Norman (Cogn. Sci., 2023)

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. - Paul S. Scotti; Mihir Tripathy; Cesar Torrico 002; Reese Kneeland; Tong Chen; Ashutosh Narang; Charan Santhirasegaran; Jonathan Xu; Thomas Naselaris; Kenneth A. Norman; Tanishq Mathew Abraham (ICML, 2024)

Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks. - Mathis Pink; Vy A. Vo; Qinyuan Wu; Jianing Mu; Javier S. Turek; Uri Hasson; Kenneth A. Norman; Sebastian Michelmann; Alexander Huth; Mariya Toneva (CoRR, 2024)