Lu, Q., Hummos A., & Norman, K.A. (2024). Proceedings of the Annual Meeting of the Cognitive Science Society 46.
Author: Elita Lee
MindEye2: Shared-subject models enable fMRI-to-image with 1 hour of data
Scotti, P.S., Tripathy, M., Villanueva, C.K.T., Kneeland, R., Chen, T., Narang, A., Santhirasegaran, C., Xu, J., Naselaris, T., Norman, K.A., & Abraham, T.M. (2024). Proceedings of the 41st International Conference on Machine Learning.
Reconciling shared versus context‑specific information in a neural network model of latent causes
Lu, Q., Nguyen, T.T., Zhang, Q., Hasson, U., Griffiths, T.L., Zacks, J.M., Gershman, S.J., & Norman, K.A. (2024). Scientific Reports.
Eye movements reveal the dynamics of memory reactivation supporting successful memory suppression
Brooks, P.P., Hennings, A.C., Guzman, B.A., Norman, K.A., & Ritchey, M. (2024). Poster presented at the Context and Episodic Memory Symposium, Philadelphia, PA.
Strategic control of episodic memory
Dong, C., Lu, Q., & Norman, K. (2024). Poster presented at the Context and Episodic Memory Symposium, Philadelphia, PA.
Learning with caricatures facilitates discrimination learning of similar stimuli
Scotti, P., Lee, E., Kempner, R., McDevitt, E., & Norman, K.A. (2024). Poster presented at the Context and Episodic Memory Symposium, Philadelphia, PA.
Eye tracking evidence for the reinstatement of emotionally negative and neutral memories
Brooks, P.P., Guzman, B.A., Kensinger, E.A., Norman, K.A., & Ritchey, M. (2024). PLoS ONE.Â
Blocked training facilitates learning of multiple schemas
Beukers, A.O., Collin, S.H.P., Kempner, R.P., Franklin, N.T., Gershman, S.J., & Norman, K.A. (2024). Communications Psychology.
Neural codes track prior events in a narrative and predict subsequent memory for details
Collin, S.H.P., Kempner, R.P., Srivatsan, S., & Norman, K.A. (2024). bioRxiv.
Improving memory search through model-based cue selection
Cornell, C.A., Norman, K.A., Griffiths, T.L., & Zhang, Q. (2024). Psychological Science.
Inducing representational change in the hippocampus through real-time neurofeedback
Peng, K., Wammes, J.D., Nguyen, A., Iordan, M.C., Norman, K.A., & Turk-Browne, N.B. (2023). bioRxiv.
Reconstructing the mind’s eye: fMRI-to-image with contrastive learning and diffusion priors
Scotti, P.S., Banerjee, A., Goode, J., Shabalin, S., Nguyen, A., Cohen, E., Dempster, A.J., Verlinde, N., Yundler, E., Weisberg, D., Norman, K.A., & Abraham, T.M. (2023). Advances in Neural Information Processing Systems (NeurIPS) 37.
Bayesian surprise predicts human event segmentation in story listening
Kumar, M., Goldstein, A., Michelmann, S., Zacks, J.M., Hasson, U., & Norman, K.A. (2023). Cognitive Science.
Test-retest reliability of the human connectome: An OPM-MEG study
Rier, L., Michelmann, S., Ritz, H., Shah, V., Hill, R.M., Osborne, J., Doyle, C., Holmes, N., Bowtell, R., Brookes, M.J., Norman, K.A., Hasson, U., Cohen, J.D., & Boto, E. (2023). Imaging Neuroscience.
Optimal metacognitive control of memory recall
Callaway, F., Griffiths, T.L., Norman, K.A., & Zhang, Q. (2023). Psychological Review.
Modeling hippocampal-cortical interaction during event processing
Lu, Q., Hasson, U., & Norman, K.A. (2018) Poster presented at the Conference of Cognitive Computational Neuroscience, Philadelphia, PA.
Patience is a virtue: learning when to encode/recall episodic memories
Lu, Q., Fan, Z.Y., Hasson, U., & Norman, K.A. (2019). Poster presented at the Context and Episodic Memory Symposium, Philadelphia, PA.
Optimal timing for episodic retrieval and encoding for event understanding
Lu, Q., Fan, Z.Y., Hasson, U., & Norman, K.A. (2019). Poster presented at the Conference of Cognitive Computational Neuroscience, Berlin, Germany.
Strategic control of episodic memory through post-gating
Dong, C., Lu, Q., & Norman, K.A. (2023). Poster presented at the Conference of Cognitive Computational Neuroscience, Oxford, UK.
Toward a more neurally plausible neural network model of latent cause inference
Lu, Q., Nguyen, T., Hasson, U., Griffiths, T., Zacks, J., Gershman, S., & Norman, K.A. (2023). Poster presented at the Conference of Cognitive Computational Neuroscience, Oxford, UK.
Differentiation and integration of competing memories: a neural network model
Ritvo, V.J.H., Nguyen, A., Turk-Browne, N.B., & Norman, K.A. (2023). bioRxiv.
Large language models can segment narrative events similarly to humans
Michelmann, S., Kumar, M., Norman, K.A., & Toneva, M. (2023). arXiv.
Neural representations of naturalistic events are updated as our understanding of the past changes
Zadbood, A., Nastase, S., Chen, J., Norman, K.A., & Hasson, U. (2022). eLife.
Evidence that event boundaries are access points for memory retrieval
Michelmann, S., Hasson, U., & Norman, K.A. (2023). Psychological Science.
How well do unsupervised learning algorithms model human real-time and life-long learning?
Zhuang, C., Xiang, V., Bai, Y., Jia, X., Turk-Browne, N., Norman, K., DiCarlo, J.J., & Yamins, D.L. (2022). Advances in Neural Information Processing Systems (NeurIPS) 36.