Elissa Aminoff, PhD

2016- Psychology Fordham Univeristy 
High level vision (scene perception) & long term memory
"Elissa Aminoff"
Mean distance: 13.76 (cluster 15)


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Michael J. Tarr research assistant 2000-2001 Brown
Moshe Bar research assistant 2001-2003 Harvard
Moshe Bar grad student 2003-2008 Harvard
Daniel Schacter grad student 2003-2008 Harvard
 (Contextual associations in visual recognition and memory: A cognitive neuroscience perspective.)
Michael B. Miller post-doc 2008-2011 UC Santa Barbara
Michael J. Tarr research scientist 2011-2016 Carnegie Mellon
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Yang Y, Tarr MJ, Kass RE, et al. (2019) Exploring spatiotemporal neural dynamics of the human visual cortex. Human Brain Mapping
Chang N, Pyles JA, Marcus A, et al. (2019) BOLD5000, a public fMRI dataset while viewing 5000 visual images. Scientific Data. 6: 49
Aminoff EM, Li Y, Pyles JA, et al. (2016) Associative hallucinations result from stimulating left ventromedial temporal cortex. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 83: 139-144
Kim JG, Aminoff EM, Kastner S, et al. (2015) A Neural Basis for Developmental Topographic Disorientation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 12954-69
Aminoff E, Toneva M, Gupta A, et al. (2015) Scene-Space Encoding within the Functional Scene-Selective Network. Journal of Vision. 15: 507
Aminoff EM, Tarr MJ. (2015) Associative Processing Is Inherent in Scene Perception. Plos One. 10: e0128840
Aminoff EM, Toneva M, Shrivastava A, et al. (2015) Applying artificial vision models to human scene understanding. Frontiers in Computational Neuroscience. 9: 8
Aminoff EM, Freeman S, Clewett D, et al. (2015) Maintaining a cautious state of mind during a recognition test: a large-scale fMRI study. Neuropsychologia. 67: 132-47
Hermundstad AM, Brown KS, Bassett DS, et al. (2014) Structurally-constrained relationships between cognitive states in the human brain. Plos Computational Biology. 10: e1003591
Aminoff EM. (2014) Putting scenes in context Scene Vision: Making Sense of What We See. 135-154
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