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