Kenneth A. Norman

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 31

Top Topics

Biologically Plausible

Factor Analysis

Top Venues

J. Cogn. Neurosci.

Publications

Paul S. Scotti, Mihir Tripathy, Cesar Kadir Torrico Villanueva, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. CoRR (2024)
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
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors. CoRR (2023)
Qihong Lu, Tan T. Nguyen, Qiong Zhang, Uri Hasson, Thomas L. Griffiths, Jeffrey M. Zacks, Samuel J. Gershman, Kenneth A. Norman
Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference. CoRR (2023)
Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva
Large language models can segment narrative events similarly to humans. CoRR (2023)
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
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors. NeurIPS (2023)
Manoj Kumar, Ariel Goldstein, Sebastian Michelmann, Jeffrey M. Zacks, Uri Hasson, Kenneth A. Norman
Bayesian Surprise Predicts Human Event Segmentation in Story Listening. Cogn. Sci. 47 (10) (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)
Jamal A. Williams, Elizabeth H. Margulis, Samuel A. Nastase, Janice Chen, Uri Hasson, Kenneth A. Norman, Christopher Baldassano
High-Order Areas and Auditory Cortex Both Represent the High-Level Event Structure of Music. J. Cogn. Neurosci. 34 (4) (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)
Manoj Kumar, Ariel Goldstein, Sebastian Michelmann, Jeffrey M. Zacks, Kenneth A. Norman, Uri Hasson
Event Segmentation In Story Listening Using Deep Language Models. CogSci (2022)
Claire H. C. Chang, Christina Lazaridi, Yaara Yeshurun, Kenneth A. Norman, Uri Hasson
Relating the Past with the Present: Information Integration and Segregation during Ongoing Narrative Processing. J. Cogn. Neurosci. 33 (6) (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)
Xiaoye Zuo, Christopher J. Honey, Morgan D. Barense, Davide Crombie, Kenneth A. Norman, Uri Hasson, Janice Chen
Temporal integration of narrative information in a hippocampal amnesic patient. NeuroImage 213 (2020)
Karina Tachihara, Adele E. Goldberg, Kenneth A. Norman
Learning Generalizations and Exceptions: the Good, the Bad and the Unpredictable. CogSci (2020)
Samuel A. Nastase, Yun-Fei Liu, Hanna Hillman, Kenneth A. Norman, Uri Hasson
Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space. NeuroImage 217 (2020)
Qiong Zhang, Kenneth A. Norman, Tom Griffiths
The method of loci is an optimal policy for memory search. CogSci (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)
Madalina Vlasceanu, Michael J. Morais, Zidong Zhao, Aaron Bornstein, Diana I. Tamir, Kenneth A. Norman, Alin Coman
Self-Other Similarity Modulates the Socially-Triggered Context-Based Prediction Error Effect on Memory. CogSci (2020)
Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman
Learning to Apply Schematic Knowledge to Novel Instances. CoRR (2019)
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)
Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman
A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. NeuroImage 180 (Part) (2018)
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
Mapping between fMRI responses to movies and their natural language annotations. NeuroImage 180 (Part) (2018)
Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson
Shared Representational Geometry Across Neural Networks. CoRR (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)
C. Daniel Greenidge, Noam Miller, Kenneth A. Norman
Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks. CoRR (2018)
Qihong Lu, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson
Measuring representational similarity across neural networks. CogSci (2018)
Jordan Poppenk, Kenneth A. Norman
Multiple-object Tracking as a Tool for Parametrically Modulating Memory Reactivation. J. Cogn. Neurosci. 29 (8) (2017)
Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman
Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets. CoRR (2016)
Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Janice Chen, Esther Yong, Christopher J. Honey, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora
Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. CoRR (2016)
Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman
Enabling factor analysis on thousand-subject neuroimaging datasets. IEEE BigData (2016)
Samuel Gershman, David M. Blei, Kenneth A. Norman, Per B. Sederberg
Decomposing spatiotemporal brain patterns into topographic latent sources. NeuroImage 98 (2014)
Samuel Gershman, Angela Radulescu, Kenneth A. Norman, Yael Niv
Statistical Computations Underlying the Dynamics of Memory Updating. PLoS Comput. Biol. 10 (11) (2014)
Tyler Davis, Karen F. LaRocque, Jeanette A. Mumford, Kenneth A. Norman, Anthony D. Wagner, Russell A. Poldrack
What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis. NeuroImage 97 (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)
Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg
The Successor Representation and Temporal Context. Neural Comput. 24 (6) (2012)
Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman
A topographic latent source model for fMRI data. NeuroImage 57 (1) (2011)
Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman
A Bayesian Analysis of Dynamics in Free Recall. NIPS (2009)
Kenneth A. Norman, Ehren L. Newman, Greg Detre, Sean Polyn
How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors. Neural Comput. 18 (7) (2006)
Kenneth A. Norman, Ehren L. Newman, Adler J. Perotte
Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal. Neural Networks 18 (9) (2005)
Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland
A Hippocampal Model of Recognition Memory. NIPS (1997)