Kim, G., Norman, K.A., & Turk-Browne, N.B. (2018). Cerebral Cortex.
* fMRI data
Author: Paula Pacheco
Dissociable effects of surprising rewards on learning and memory
Rouhani, N., Norman, K.A., & Niv, Y. (2018). Journal of Experimental Psychology: Learning, Memory, & Cognition.
A probabilistic approach to discovering dynamic full-brain functional connectivity patterns
Manning, J., Zhu, X., Willke, T., Ranganath, R., Stachenfeld, K., Hasson, U., Blei, D.M., & Norman, K.A. (2018). Neuroimage.
Multiple-object tracking as a tool for parametrically modulating memory reactivation
Poppenk, J. & Norman, K.A. (2017). Journal of Cognitive Neuroscience.
Forgetting from lapses in sustained attention
deBettencourt, M.T., Norman, K.A., & Turk-Browne, N.B. (2017). Psychonomic Bulletin & Review.
* Analysis Code
Reinstated episodic context guides sampling-based decisions for reward
Bornstein, A.M. & Norman, K.A. (2017). Nature Neuroscience.
* fMRI data
Retrieval as a fast route to memory consolidation
Antony, J.A., Ferreira, C.S., Norman, K.A., & Wimber, M. (2017). Trends in Cognitive Sciences.
A role for conflict in segmenting memories
DuBrow, S., Niv, Y., & Norman, K.A. (2017). Poster presented at the Context and Episodic Memory Symposium, Philadelphia, PA.
Mechanisms of targeted memory reactivation during sleep: The role of pre- and post-cue spindles
Antony, J.A., Piloto, L.R., Wang, B., Wang, M., Pacheco, P.A., Paller, K.A., & Norman, K.A. (2017). Poster presented at the Context and Episodic Memory Symposium, Philadelphia, PA.
Temporal and neural dynamics of musical contexts
Williams, J.A., Chen, J., Baldassano, C., Hasson, U., & Norman, K.A. (2017). Poster presented at the Context and Episodic Memory Symposium, Philadelphia, PA.
The computational nature of memory modification
Gershman, S.J., Monfils, M.H., Norman, K.A., & Niv, Y. (2017). ELife.
Princeton-Intel collaboration breaks new ground in studies of the brain
Princeton researchers, in collaboration with Intel, have whittled the time it takes to extract thoughts from brain scans from days down to less than a second.
– News at Princeton
February 23, 2017
Computational approaches to fMRI analysis
Cohen, J.D., Daw, N., Engelhardt, B., Hasson, U., Li, K., Niv, Y., Norman, K.A., Pillow, J., Ramadge, P.J., Turk-Browne, N.B., & Willke, T.L. (2017). Nature Neuroscience.
Lingering representations of stimuli influence recall organization
Chan, S.C.Y., Applegate, M.C., Morton, N.W., Polyn, S.M., & Norman, K.A. (2017). Neuropsychologia.
* fMRI data
Neural differentiation of incorrectly predicted memories
Kim, G., Norman, K.A., & Turk-Browne, N.B. (2017). Journal of Neuroscience.
* fMRI data