Wu, A., Nastase, S.A., Baldassano, C.A., Turk-Browne, N.B., Norman, K.A., Engelhardt, B.E., & Pillow, J.W. (2021). bioRxiv.
Preprints
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Increasing stimulus similarity drives nonmonotonic representational change in hippocampus
Wammes, J.D., Norman, K.A., & Turk-Browne, N.B. (2021). bioRxiv.
High-order areas and auditory cortex both represent the high-level event structure of music
Williams, J.A., Margulis, E.H., Nastase, S.A., Chen, J., Hasson, U., Norman, K.A., & Baldassano, C. (2021). bioRxiv.
Narratives: fMRI data for evaluating models of naturalistic language comprehension
Nastase, S.A., Liu, Y., Hillman, H., Zadbood, A., Hasenfratz, L., Keshavarzian, N., Chen, J., Honey, C.J., Yeshurun, Y., Regev, M., Nguyen, M., Chang, C.H., Baldassano, C., Lositsky, O., Simony, E., Chow, M.A., Leong, Y.C., Brooks, P.P., Micciche, E., Choe, G., Goldstein, A., Vanderwal, T., Halchenko, Y.O., Norman, K.A., & Hasson, U. (2020). bioRxiv.
Learning to use episodic memory for event prediction
Lu, Q., Hasson, U., & Norman, K.A. (2020). bioRxiv.
Thinking ahead: prediction in context as a keystone of language in humans and machines
Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S.A., Feder, A., Emanuel, D., Cohen, A., Jansen, A., Gazula, H., Choe, G., Rao, A., Kim, C., Casto, C., Lora, F., Flinker, A., Devore, S., Doyle, W., Friedman, D., Dugan, P., Hassidim, A., Brenner, M., Matias, Y., Norman, K.A., Devinsky, O., & Hasson, U. (2020). bioRxiv.
Moment-by-moment tracking of naturalistic learning and its underlying hippocampo-cortical interactions
Michelmann, S., Price, A.R., Aubrey, B., Doyle, W.K., Friedman, D., Dugan, P.C., Devinsky, O., Devore, S., Flinker, A., Hasson, U., & Norman, K.A. (2020). bioRxiv.
BrainIAK: The Brain Imaging Analysis Kit
Kumar, M., Anderson, M.J., Antony, J.W., Baldassano C., Brooks, P.P., Cai, M.B., Chen, P.H.C., Ellis, C.T., Henselman-Petrusek, G., Huberdeau, D., Hutchinson, J.B., Li, P.Y., Lu, Q., Manning, J.R., Mennen, A.C., Nastase, S.A., Hugo, R., Schapiro, A.C., Schuck, N.W., Shvartsman, M., Sundaram, N., Suo, D., Turek, J.S., Vo, V.A., Wallace, G., Wang, Y., Zhang, H., Zhu, X., Capota, M., Cohen, J.D., Hasson, U., Li, K., Ramadge, P.J., Turk-Browne, N.B., Willke, T.L. & Norman, K.A. (2020). OSF Preprints.
Sculpting new visual concepts into the human brain
Iordan, M.C., Ritvo, V.J.H., Norman, K.A., Turk-Browne, N.B. & Cohen, J.D. (2020). bioRxiv.
Relating the past with the present: Information integration and segregation during ongoing narrative processing
Chang, C.H., Lazaridi, C., Yeshurun, Y., Norman, K.A., & Hasson, U. (2020). bioRxiv.
Rational use of episodic and working memory: a normative account of prospective memory
Momennejad, I., Lewis-Peacock, J.A., Norman, K.A., Cohen, J.D., Singh, S., & Lewis, R.L. (2019). bioRxiv.
Learning to apply schematic knowledge to novel instances
Chen, C., Lu, Q., Beukers, A., Baldassano, C., & Norman, K.A. (2019). arXiv.
Shared representational geometry across neural networks
Lu, Q., Chen, P.H., Pillow, J.W., Ramadge, P., Norman, K.A., & Hasson, U. (2018). arXiv.
Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks
Greenidge, C.D., Miller, N., & Norman, K.A. (2018). arXiv.
* Simulation Code
Perceptual decisions result from the continuous accumulation of memory and sensory evidence
Bornstein, A.M., Aly, M., Feng, S., Turk-Browne, N.B., Norman, K.A., & Cohen, J.D. (2017). bioRxiv.
* fMRI data