Elan Barenholtz
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Education
Ph.D., Rutgers University/New Brunswick
Research Interests
Perception and learning
Deep Learning
Embedded computational neural models
Research Description
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 Publications
Recent representative publications:
McGuire, M. Morris, P. Garcia, W. Tutianu, N.
听Hahn, W. and
Barenholtz, E.
听(In Press). Q-Learning in an autonomous rover.听
大象传媒 Undergraduate Research Journal.
Barenholtz,听
E.,听
Mavica, Lauren*, & Lewkowicz, D.J. (2016). Language familiarity modulates relative attention to the eyes and mouth of a talker.听
Cognition.
听(147), 100-105.
Schlangen, D.* and听
Barenholtz, E. (2015). Intrinsic and contextual features in object recognition.
Journal of Vision,听
15, 1-15.
Hahn, W.,听 LaCombe, D. and听
Barenholtz, E.
听A sparse neural model for visual motion classification. 听(2015)听
Multimedia Tools and Applications,
听74, 10097-10110.
Daskagianni, E. and听
Barenholtz, E.听
(2014). Contextual facilitation of visual object recognition: the role of context, location and relative size.听
Journal of Experimental Psychology: Human Perception and Performance
Scholarly Activities
Reviewer for NSF Panel
Editorial Board Member, Frontiers in Psychology