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.
Preprints
All Articles | Preprints | Research papers | Review papers | Book chapters
The documents distributed here have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by these copyrights. These works may not be reposted without the explicit permission of the copyright holder.
Reprints of papers not provided here may be obtained by sending an email request to knorman@princeton.edu
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.
Think like an expert: neural alignment predicts understanding in students taking an introduction to computer science course
Meshulam, M., Hasenfratz, L., Hillman, H., Liu, Y., Nguyen, M., Norman, K.A. & Hasson, U. (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