Ph.D., Rutgers University/New Brunswick
Perception and learning
Embedded computational neural models
I use behavioral and embedded computational approaches (i.e. neural networks running in robots) to study the brain and behavior with the goal of developing a broad theoretical framework of neural function.
Recent representative publications:
McGuire, M. Morris, P. Garcia, W. Tutianu, N.
Hahn, W. and
(In Press). Q-Learning in an autonomous rover. Florida Atlantic University Undergraduate Research Journal.
*, & Lewkowicz, D.J. (2016). Language familiarity modulates relative attention to the eyes and mouth of a talker. Cognition.
.* and Barenholtz, E
. (2015). Intrinsic and contextual features in object recognition.
Journal of Vision,
Hahn, W., LaCombe, D. and Barenholtz, E.
A sparse neural model for visual motion classification. (2015) Multimedia Tools and Applications,
Daskagianni, E. and Barenholtz, E.
(2014). Contextual facilitation of visual object recognition: the role of context, location and relative size. Journal of Experimental Psychology: Human Perception and Performance
Reviewer for NSF Panel
Editorial Board Member, Frontiers in Psychology