Elan Barenholtz
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.
Hahn, W. and
Barenholtz, E.
(In Press). Q-Learning in an autonomous rover.
Florida Atlantic University Undergraduate Research Journal.
Barenholtz,
E.,
Mavica, Lauren*, & Lewkowicz, D.J. (2016). Language familiarity modulates relative attention to the eyes and mouth of a talker.
Cognition.
(147), 100-105.
Schlangen, D.* and
Barenholtz, E. (2015). Intrinsic and contextual features in object recognition.
Journal of Vision,
15, 1-15.
Hahn, W., LaCombe, D. and
Barenholtz, E.
A sparse neural model for visual motion classification. (2015)
Multimedia Tools and Applications,
74, 10097-10110.
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
Scholarly Activities
Reviewer for NSF Panel
Editorial Board Member, Frontiers in Psychology
