Kenneth A. Norman

44 papers A* 3B 8Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks. CoRR Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva
2024	B	`conf`	Episodic memory supports the acquisition of structured task representations. CogSci Qihong Lu, Ali Hummos, Kenneth A. Norman
2024	A*	`conf`	MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. ICML Paul S. Scotti, Mihir Tripathy, Cesar Torrico, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham
2024	J	`jnl`	MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. CoRR 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
2023	J	`jnl`	Bayesian Surprise Predicts Human Event Segmentation in Story Listening. Cogn. Sci. Manoj Kumar, Ariel Goldstein, Sebastian Michelmann, Jeffrey M. Zacks, Uri Hasson, Kenneth A. Norman
2023	J	`jnl`	Large language models can segment narrative events similarly to humans. CoRR Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva
2023	A*	`conf`	Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors. NeurIPS 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
2023	J	`jnl`	Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors. CoRR 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
2023	J	`jnl`	Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference. CoRR Qihong Lu, Tan T. Nguyen, Qiong Zhang, Uri Hasson, Thomas L. Griffiths, Jeffrey M. Zacks, Samuel J. Gershman, Kenneth A. Norman
2022	B	`conf`	Event Segmentation In Story Listening Using Deep Language Models. CogSci Manoj Kumar, Ariel Goldstein, Sebastian Michelmann, Jeffrey M. Zacks, Kenneth A. Norman, Uri Hasson
2022	J	`jnl`	High-Order Areas and Auditory Cortex Both Represent the High-Level Event Structure of Music. J. Cogn. Neurosci. Jamal A. Williams, Elizabeth H. Margulis, Samuel A. Nastase, Janice Chen, Uri Hasson, Kenneth A. Norman, Christopher Baldassano
2022	A*	`conf`	How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? NeurIPS Chengxu Zhuang, Ziyu Xiang, Yoon Bai, Xiaoxuan Jia, Nicholas B. Turk-Browne, Kenneth A. Norman, James J. DiCarlo, Dan Yamins
2022	J	`jnl`	RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI. NeuroImage 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
2021	J	`jnl`	Brain kernel: A new spatial covariance function for fMRI data. NeuroImage Anqi Wu, Samuel A. Nastase, Christopher Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow
2021	J	`jnl`	Relating the Past with the Present: Information Integration and Segregation during Ongoing Narrative Processing. J. Cogn. Neurosci. Claire H. C. Chang, Christina Lazaridi, Yaara Yeshurun, Kenneth A. Norman, Uri Hasson
2020	J	`jnl`	BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLoS Comput. Biol. Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman
2020	B	`conf`	Learning Generalizations and Exceptions: the Good, the Bad and the Unpredictable. CogSci Karina Tachihara, Adele E. Goldberg, Kenneth A. Norman
2020	J	`jnl`	Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space. NeuroImage Samuel A. Nastase, Yun-Fei Liu, Hanna Hillman, Kenneth A. Norman, Uri Hasson
2020	B	`conf`	Self-Other Similarity Modulates the Socially-Triggered Context-Based Prediction Error Effect on Memory. CogSci Madalina Vlasceanu, Michael J. Morais, Zidong Zhao, Aaron M. Bornstein, Diana I. Tamir, Kenneth A. Norman, Alin Coman
2020	J	`jnl`	Temporal integration of narrative information in a hippocampal amnesic patient. NeuroImage Xiaoye Zuo, Christopher J. Honey, Morgan D. Barense, Davide Crombie, Kenneth A. Norman, Uri Hasson, Janice Chen
2020	B	`conf`	The method of loci is an optimal policy for memory search. CogSci Qiong Zhang, Kenneth A. Norman, Tom Griffiths
2019	B	`conf`	A generalization becomes suppressed over time in the context of exceptions. CogSci Karina Tachihara, Kenneth A. Norman, Nicholas B. Turk-Browne, Adele E. Goldberg
2019	J	`jnl`	Learning to Apply Schematic Knowledge to Novel Instances. CoRR Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman
2019	J	`jnl`	Neurofeedback helps to reveal a relationship between context reinstatement and memory retrieval. NeuroImage Megan T. deBettencourt, Nicholas B. Turk-Browne, Kenneth A. Norman
2018	B	`conf`	A mouse-tracking study of how exceptions to a probabilistic generalization are learned. CogSci Karina Tachihara, Kenneth A. Norman, Nicholas B. Turk-Browne, Adele E. Goldberg
2018	J	`jnl`	A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. NeuroImage Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman
2018	J	`jnl`	Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks. CoRR C. Daniel Greenidge, Noam Miller, Kenneth A. Norman
2018	J	`jnl`	Mapping between fMRI responses to movies and their natural language annotations. NeuroImage 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
2018	B	`conf`	Measuring representational similarity across neural networks. CogSci Qihong Lu, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson
2018	J	`jnl`	Shared Representational Geometry Across Neural Networks. CoRR Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson
2017	J	`jnl`	Multiple-object Tracking as a Tool for Parametrically Modulating Memory Reactivation. J. Cogn. Neurosci. Jordan Poppenk, Kenneth A. Norman
2016	J	`jnl`	Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets. CoRR 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
2016	—	`conf`	Enabling factor analysis on thousand-subject neuroimaging datasets. IEEE BigData 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
2016	J	`jnl`	Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. CoRR Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Janice Chen, Esther Yong, Christopher J. Honey, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora
2014	J	`jnl`	Decomposing spatiotemporal brain patterns into topographic latent sources. NeuroImage Samuel Gershman, David M. Blei, Kenneth A. Norman, Per B. Sederberg
2014	—	`conf`	Hierarchical topographic factor analysis. PRNI Jeremy R. Manning, Rajesh Ranganath, Waitsang Keung, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman, David M. Blei
2014	J	`jnl`	Statistical Computations Underlying the Dynamics of Memory Updating. PLoS Comput. Biol. Samuel Gershman, Angela Radulescu, Kenneth A. Norman, Yael Niv
2014	J	`jnl`	What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis. NeuroImage Tyler Davis, Karen F. LaRocque, Jeanette A. Mumford, Kenneth A. Norman, Anthony D. Wagner, Russell A. Poldrack
2012	J	`jnl`	The Successor Representation and Temporal Context. Neural Comput. Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg
2011	J	`jnl`	A topographic latent source model for fMRI data. NeuroImage Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman
2009	—	`conf`	A Bayesian Analysis of Dynamics in Free Recall. NIPS Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman
2006	J	`jnl`	How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors. Neural Comput. Kenneth A. Norman, Ehren L. Newman, Greg Detre, Sean Polyn
2005	J	`jnl`	Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal. Neural Networks Kenneth A. Norman, Ehren L. Newman, Adler J. Perotte
1997	—	`conf`	A Hippocampal Model of Recognition Memory. NIPS Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland