The Yashar Lab investigates visual perception and cognition, particularly, the processes, which determine how people detect and identify visual features and objects. Our goal is to understand how cognitive and brain capacities such as plasticity, attention, and memory can enhance visual perception in both typical and atypical populations – e.g. people with autism, visual impairments, and learning disabilities. We use various research methods, including psychophysics, eye tracking, and computational modeling

• Intersection of cognition and perception

• The impact of learning and attention on visual perception

2003  B.A in Behavioral Science, The Academic College of Tel Aviv, Tel Aviv, Israel.

2006  M.A in Cognitive Psychology, The School of Psychological Science. Tel Aviv University, Tel Aviv, Israel.

2013  PhD in The School of Psychological Science, Tel-Aviv University.

2017  Postdoc in the labs of Marisa Carrasco, New York University.  

• Yashar, A., & Denison, R. (2017). Feature reliability explains specificity and transfer of perceptual learning in orientation search. PLoS Computational Biology, 13(12), e1005882.
• Yashar, A., White, A., Fang, M., & Carrasco, M. (2017). Priming of feature singleton facilitates selection but does not modulate attentional shifts. Journal of Vision, 17(9), 1–18.
• Yashar, A., & Carrasco, M. (2016). Rapid and long-lasting learning of feature binding. Cognition, 154, 130-138.
• Yashar, A., Chen, J., & Carrasco, M. (2015). Rapid and long-lasting reduction of crowding through training. Journal of Vision, 15(10), 1-15