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ORCIDKenneth A. Norman
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2020 – today
- 2024
[c14]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:
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. ICML 2024- [i9]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 abs/2403.11207 (2024) - 2023
- [j19]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) - [c13]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 - [i8]Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva:
Large language models can segment narrative events similarly to humans. CoRR abs/2301.10297 (2023) - [i7]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 abs/2305.18274 (2023) - [i6]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 abs/2312.08519 (2023) - 2022
- [j18]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): 699-714 (2022) - [j17]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: 119295 (2022) - [c12]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 - [c11]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 - 2021
- [j16]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): 1106-1128 (2021) - [j15]Anqi Wu, Samuel A. Nastase, Christopher 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: 118580 (2021) - 2020
- [j14]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: 116658 (2020) - [j13]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: 116865 (2020) - [j12]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) - [c10]Karina Tachihara, Adele E. Goldberg, Kenneth A. Norman:
Learning Generalizations and Exceptions: the Good, the Bad and the Unpredictable. CogSci 2020 - [c9]Madalina Vlasceanu, Michael J. Morais, Zidong Zhao, Aaron M. 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 - [c8]Qiong Zhang, Kenneth A. Norman, Tom Griffiths:
The method of loci is an optimal policy for memory search. CogSci 2020
2010 – 2019
- 2019
- [j11]Megan T. deBettencourt, Nicholas B. Turk-Browne, Kenneth A. Norman:
Neurofeedback helps to reveal a relationship between context reinstatement and memory retrieval. NeuroImage 200: 292-301 (2019) - [c7]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: 2905-2911 - [i5]Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman:
Learning to Apply Schematic Knowledge to Novel Instances. CoRR abs/1902.09006 (2019) - 2018
- [j10]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): 223-231 (2018) - [j9]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): 243-252 (2018) - [c6]Qihong Lu, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson:
Measuring representational similarity across neural networks. CogSci 2018 - [c5]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 - [i4]C. Daniel Greenidge, Noam Miller, Kenneth A. Norman:
Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks. CoRR abs/1809.04166 (2018) - [i3]Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson:
Shared Representational Geometry Across Neural Networks. CoRR abs/1811.11684 (2018) - 2017
- [j8]Jordan Poppenk, Kenneth A. Norman:
Multiple-object Tracking as a Tool for Parametrically Modulating Memory Reactivation. J. Cogn. Neurosci. 29(8): 1339-1354 (2017) - 2016
- [c4]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: 1151-1160 - [i2]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 abs/1608.04647 (2016) - [i1]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 abs/1610.03914 (2016) - 2014
- [j7]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: 271-283 (2014) - [j6]Samuel Gershman, David M. Blei, Kenneth A. Norman, Per B. Sederberg:
Decomposing spatiotemporal brain patterns into topographic latent sources. NeuroImage 98: 91-102 (2014) - [j5]Samuel Gershman, Angela Radulescu, Kenneth A. Norman, Yael Niv:
Statistical Computations Underlying the Dynamics of Memory Updating. PLoS Comput. Biol. 10(11) (2014) - [c3]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: 1-4 - 2012
- [j4]Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg:
The Successor Representation and Temporal Context. Neural Comput. 24(6): 1553-1568 (2012) - 2011
- [j3]Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman:
A topographic latent source model for fMRI data. NeuroImage 57(1): 89-100 (2011)
2000 – 2009
- 2009
- [c2]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: 1714-1722 - 2006
- [j2]Kenneth A. Norman, Ehren L. Newman, Greg Detre, Sean Polyn:
How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors. Neural Comput. 18(7): 1577-1610 (2006) - 2005
- [j1]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): 1212-1228 (2005)
1990 – 1999
- 1997
- [c1]Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland:
A Hippocampal Model of Recognition Memory. NIPS 1997: 73-79
Coauthor Index
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