Iyer, R.S., Tu, J.C., Villanueva, C.K.T. , Mahishi, A., Kempner, R.P., Prince, J.S., Lo, E.W., Bhowmick A., Arasu, H., Chughtai, A., McDevitt, E.A., Scotti, P.S. & Norman, K.A. (2026) arXiv
Uncategorized
A neural mechanism for online discovery of latent contexts
Hummos, A., Wang, M.B., Lu, Q., Norman, K.A., & Jazayeri, M. (2026). bioRxiv.
Real-time reconstruction of human visual perception from fMRI
Iyer, R.S., Tu, J.C.†, Mahishi, A.†, Villanueva, C.K.T.†, Kempner, R.P., Prince, J.S., Arasu, H., Chughtai, A., McDevitt, E.A.*, Scotti, P.S.*, Norman, K.A.* (2025). Demo presented at the NeurIPS 2025 Workshop on Foundation Models for the Brain and Body.
Adaptive control of episodic memory during story listening
Dong, C., Nastase, S., Norman, K. (2025). Poster presented at the Cognitive Neuroscience Society, Boston, MA.
Marius Cătălin Iordan

Ph.D., Stanford University (2016)
M.S., Stanford University (2016)
B.A., Williams College (2009)
Email
Website
Cătălin studies visual and semantic categorization or how we learn to group items into meaningful categories (‘cat’) and how we use them to quickly make sense of the overwhelming jumble of information hitting our eyes every second. Lately, he’s been using real-time fMRI neurofeedback and machine learning to mess with people’s perception.
Forgetting from lapses in sustained attention
deBettencourt, M.T., Norman, K.A., & Turk-Browne, N.B. (2017). Psychonomic Bulletin & Review.
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