Kenneth A. Norman

According to our database, Kenneth A. Norman authored at least 39 papers between 1997 and 2024.

Collaborative distances:

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

2024

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data.

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

CoRR, 2024

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., October, 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, Jeffrey M. Zacks, Samuel J. Gershman, Kenneth A. Norman

CoRR, 2023

Large language models can segment narrative events similarly to humans.

Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva

CoRR, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

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

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

Event Segmentation In Story Listening Using Deep Language Models.

Manoj Kumar, Ariel Goldstein, Sebastian Michelmann, Jeffrey M. Zacks, Kenneth A. Norman, Uri Hasson

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

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

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

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

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

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

The method of loci is an optimal policy for memory search.

Qiong Zhang, Kenneth A. Norman, Tom Griffiths

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 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

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learning Generalizations and Exceptions: the Good, the Bad and the Unpredictable.

Karina Tachihara, Adele E. Goldberg, Kenneth A. Norman

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 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

Learning to Apply Schematic Knowledge to Novel Instances.

Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman

CoRR, 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

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 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

Shared Representational Geometry Across Neural Networks.

Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson

CoRR, 2018

Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks.

C. Daniel Greenidge, Noam Miller, Kenneth A. Norman

CoRR, 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

Measuring representational similarity across neural networks.

Qihong Lu, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson

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

2017

Multiple-object Tracking as a Tool for Parametrically Modulating Memory Reactivation.

Jordan Poppenk, Kenneth A. Norman

J. Cogn. Neurosci., 2017

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

Enabling factor analysis on thousand-subject neuroimaging datasets.

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

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

2014

Statistical Computations Underlying the Dynamics of Memory Updating.

Samuel Gershman, Angela Radulescu, Kenneth A. Norman, Yael Niv

PLoS Comput. Biol., 2014

Decomposing spatiotemporal brain patterns into topographic latent sources.

Samuel Gershman, David M. Blei, Kenneth A. Norman, Per B. Sederberg

NeuroImage, 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

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

2012

The Successor Representation and Temporal Context.

Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg

Neural Comput., 2012

2011

A topographic latent source model for fMRI data.

Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman

NeuroImage, 2011

2009

A Bayesian Analysis of Dynamics in Free Recall.

Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2006

How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors.

Kenneth A. Norman, Ehren L. Newman, Greg Detre, Sean Polyn

Neural Comput., 2006

2005

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

1997

A Hippocampal Model of Recognition Memory.

Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland

Proceedings of the Advances in Neural Information Processing Systems 10, 1997