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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.

FAU Faculty Vignette – Elan Barenholtz, Ph.D

Recent Publications

Recent representative publications:

McGuire, M. Morris, P. Garcia, W. Tutianu, N. ÌýHahn, W. and
Barenholtz, E. Ìý(In Press). Q-Learning in an autonomous rover.Ìý ³Ô¹ÏÍø Undergraduate Research Journal.
Barenholtz,Ìý E.,Ìý Mavica, Lauren*, & Lewkowicz, D.J. (2016). Language familiarity modulates relative attention to the eyes and mouth of a talker.Ìý Cognition. Ìý(147), 100-105.
Schlangen, D.* andÌý Barenholtz, E. (2015). Intrinsic and contextual features in object recognition.
Journal of Vision,Ìý 15, 1-15.
Hahn, W.,Ìý LaCombe, D. andÌý Barenholtz, E. ÌýA sparse neural model for visual motion classification. Ìý(2015)Ìý Multimedia Tools and Applications, Ìý74, 10097-10110.
Daskagianni, E. andÌý Barenholtz, E.Ìý (2014). Contextual facilitation of visual object recognition: the role of context, location and relative size.Ìý Journal of Experimental Psychology: Human Perception and Performance

Scholarly Activities

Reviewer for NSF Panel
Editorial Board Member, Frontiers in Psychology