PeopleofSuperintelligence

Researcher

Kenneth Norman

Also known as Kenneth A. Norman, Kenneth A Norman, Kenneth Andrew Norman

Kenneth Norman is a Princeton researcher whose work connects artificial intelligence with memory, brain imaging and language. He worked with Randall O’Reilly as a postdoctoral researcher from 1999 to 2002, and coauthored a 2016 study of shared brain patterns during memory recall. He coauthored a 2022 memory-augmented neural-network model for predicting upcoming environmental states; in October 2023, his lab developed applications to measure brain activity and used them with AI to interpret thoughts. In 2024, he coauthored work on transformer computations and cortical language activity; in 2025, he coauthored a study of GPT-3 event segmentation. As of October 2026, he is a Princeton professor and principal investigator of a Psychology project using latent-cause modeling and neurofeedback to study fear relapse.

Works
371
Citations
20,446
h-index
69

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 1999–2002

    Postdoctoral work with O’Reilly

    From 1999 to 2002, he works as a postdoctoral researcher in Randall O’Reilly’s group.

  2. 2016

    Shared patterns in memory

    In 2016, he coauthors a study finding that brain patterns are more similar across people recalling the same event than between recall and perception.

  3. 2022

    An episodic-memory model

    In 2022, he coauthors a memory-augmented neural network that uses episodic memory to predict upcoming states in an environment.

  4. October 2023

    AI for thought decoding

    In October 2023, his lab develops and employs applications to detect and measure brain activity, then uses them with AI to interpret thoughts.

  5. 2024

    Transformers and brain activity

    In 2024, he coauthors a study showing that transformations in transformer-based language models account for considerable variance in activity across the cortical language network.

  6. 2025

    GPT-3 event segmentation

    In 2025, he coauthors a study showing that GPT-3 segments narrative text into events, with its event annotations significantly correlated with human annotations.

  7. May 2025–April 2027

    Fear relapse and neurofeedback

    In May 2025, he becomes PI of a Psychology project on latent-cause modeling and neurofeedback for fear relapse and its relationship to anxiety; the project runs through April 2027.

  8. July 2026

    Real-time fMRI decoding

    In July 2026, he coauthors a preprint that uses RT-Cloud to decode single-trial visual perception within seconds after an image is shown.

  9. As of October 2026

    Professor and project PI

    As of October 2026, he is a professor at Princeton and PI of an active Psychology project through April 2027.

Career

  1. NowPrinceton UniversityProfessor
  2. 1999–2002Randall O’Reilly’s groupPostdoctoral researcher

From the biography.

Sources and credits

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  1. CV randalloreilly.com. Checked 27 October 2026.
  2. Shared memories reveal shared structure in neural activity across individuals nature.com. Checked 27 October 2026.
  3. A neural network model of when to retrieve and encode episodic memories pmc.ncbi.nlm.nih.gov. Checked 27 October 2026.
  4. A Princeton professor says he can read your mind dailyprincetonian.com. Checked 27 October 2026.
  5. Shared functional specialization in transformer-based language models and the human brain nature.com. Checked 27 October 2026.
  6. Large language models can segment narrative events similarly to humans collaborate.princeton.edu. Checked 27 October 2026.
  7. Using latent cause modeling and neurofeedback to understand fear relapse and its relationship to anxiety collaborate.princeton.edu. Checked 27 October 2026.
  8. Real-time Reconstruction of Human Visual Perception from fMRI arxiv.org. Checked 27 October 2026.