Halely Balaban

Halely is a PhD student in the field of Neuroscience at Tel Aviv University. Her research targets working memory, and specifically how we can overcome its severe capacity limits by integrating distinct items. Using electrophysiological and behavioral methods, she investigates how we dynamically update the active mental representations according not only to online changes in the visual input, but also to subtle contextual cues. With this unique approach that challenges dominant views in the field, she hopes to answer important questions in a novel, delicate, and ecological manner. 

  • Balaban, H., & Luria, R. (2017). Neural and behavioral evidence for an online resetting process in visual working memory. The Journal of Neuroscience, 37(5), 1225-1239.
  • Balaban, H., & Luria, R. (2016). Object representations in visual working memory change according to the task context. Cortex, 1-13.
  • Balaban, H., & Luria, R. (2016). Integration of distinct objects in visual working memory depends on strong objecthood cues even for different-dimension conjunctions. Cerebral Cortex, 26, 2093-2104.
  • Luria, R., Balaban, H., Awh, E., & Vogel, E. K. (2016). The contralateral delay activity as a neural measure of visual working memory. Neuroscience & Biobehavioral Reviews, 62, 100-108.
  • Balaban, H., & Luria, R. (2015). The number of objects determines visual working memory capacity allocation for complex items. NeuroImage, 119, 54-62.
  • Allon, A. S., Balaban, H., & Luria, R. (2014). How low can you go? Changing the resolution of novel complex objects in visual working memory according to task demands. Frontiers in Psychology, 5:265, doi:10.3389/fpsyg.2-14.00265