Kenneth A. Norman

According to our database1, Kenneth A. Norman authored at least 40 papers between 1997 and 2024.

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Bibliography

2024
Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks.
CoRR, 2024

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Bayesian Surprise Predicts Human Event Segmentation in Story Listening.
Cogn. Sci., October, 2023

Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference.
CoRR, 2023

Large language models can segment narrative events similarly to humans.
CoRR, 2023

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors.
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.
NeuroImage, 2022

High-Order Areas and Auditory Cortex Both Represent the High-Level Event Structure of Music.
J. Cogn. Neurosci., 2022

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?
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.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
Brain kernel: A new spatial covariance function for fMRI data.
NeuroImage, 2021

Relating the Past with the Present: Information Integration and Segregation during Ongoing Narrative Processing.
J. Cogn. Neurosci., 2021

2020
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis.
PLoS Comput. Biol., 2020

Temporal integration of narrative information in a hippocampal amnesic patient.
NeuroImage, 2020

Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space.
NeuroImage, 2020

The method of loci is an optimal policy for memory search.
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.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learning Generalizations and Exceptions: the Good, the Bad and the Unpredictable.
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.
NeuroImage, 2019

Learning to Apply Schematic Knowledge to Novel Instances.
CoRR, 2019

A generalization becomes suppressed over time in the context of exceptions.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Mapping between fMRI responses to movies and their natural language annotations.
NeuroImage, 2018

A probabilistic approach to discovering dynamic full-brain functional connectivity patterns.
NeuroImage, 2018

Shared Representational Geometry Across Neural Networks.
CoRR, 2018

Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks.
CoRR, 2018

A mouse-tracking study of how exceptions to a probabilistic generalization are learned.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Measuring representational similarity across neural networks.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Multiple-object Tracking as a Tool for Parametrically Modulating Memory Reactivation.
J. Cogn. Neurosci., 2017

2016
Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations.
CoRR, 2016

Enabling factor analysis on thousand-subject neuroimaging datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2014
Statistical Computations Underlying the Dynamics of Memory Updating.
PLoS Comput. Biol., 2014

Decomposing spatiotemporal brain patterns into topographic latent sources.
NeuroImage, 2014

What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis.
NeuroImage, 2014

Hierarchical topographic factor analysis.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2012
The Successor Representation and Temporal Context.
Neural Comput., 2012

2011
A topographic latent source model for fMRI data.
NeuroImage, 2011

2009
A Bayesian Analysis of Dynamics in Free Recall.
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.
Neural Comput., 2006

2005
Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal.
Neural Networks, 2005

1997
A Hippocampal Model of Recognition Memory.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997


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