Chantal Stern

Affiliations: 
Boston University, Boston, MA, United States 
Google:
"Chantal Stern"
Mean distance: 14.16 (cluster 23)
 
SNBCP
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Chrastil ER, Tobyne SM, Nauer RK, et al. (2018) Converging meta-analytic and connectomic evidence for functional subregions within the human retrosplenial region. Behavioral Neuroscience. 132: 339-355
Cohen JE, Ross RS, Stern CE. (2018) Predictability matters: role of the hippocampus and prefrontal cortex in disambiguation of overlapping sequences. Learning & Memory (Cold Spring Harbor, N.Y.). 25: 335-346
Sherrill KR, Chrastil ER, Aselcioglu I, et al. (2018) Structural Differences in Hippocampal and Entorhinal Gray Matter Volume Support Individual Differences in First-person Navigational Ability. Neuroscience
Hasselmo ME, Stern CE. (2018) A network model of behavioural performance in a rule learning task. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 373
Hasselmo ME, Hinman JR, Dannenberg H, et al. (2017) Models of spatial and temporal dimensions of memory. Current Opinion in Behavioral Sciences. 17: 27-33
Howard M, Stern CE, Hasselmo ME. (2017) Howard Eichenbaum 1947-2017. Nature Neuroscience. 20: 1432-1433
Rosen ML, Stern CE, Devaney KJ, et al. (2017) Cortical and Subcortical Contributions to Long-Term Memory-Guided Visuospatial Attention. Cerebral Cortex (New York, N.Y. : 1991). 1-13
Chrastil ER, Sherrill KR, Aselcioglu I, et al. (2017) Individual Differences in Human Path Integration Abilities Correlate with Gray Matter Volume in Retrosplenial Cortex, Hippocampus, and Medial Prefrontal Cortex. Eneuro. 4
Chrastil ER, Sherrill KR, Hasselmo ME, et al. (2016) Which way and how far? Tracking of translation and rotation information for human path integration. Human Brain Mapping
Putcha D, Ross RS, Cronin-Golomb A, et al. (2016) Salience and Default Mode Network Coupling Predicts Cognition in Aging and Parkinson's Disease. Journal of the International Neuropsychological Society : Jins. 22: 205-15
See more...