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Dr. Halely Balaban, Senior Lecturer

Halely Balaban
Contact Info

The Open University of Israel Prof. at the Department Education and Psychology 1 University Road, P. O. Box 808, Raanana 43107, Israel
Email:[email protected]

Additional Information

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Areas of Interest
  • Online processing
  • Intuitive physical reasoning
  • Visual working memory
  • Object tracking

Halely Balaban is a Senior Lecturer at the Department of Education and Psychology, the Open University. She uses a variety of tools from cognitive neuroscience (EEG, behavioral measures, and computational modeling) to understand how humans create, maintain, and transform flexible mental representations of dynamic information, specifically with regards to physical objects in visual scenes. 

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2019
PhD, Sagol School of Neuroscience, Tel Aviv University; Advisor: Prof. Roy Luria
2014
MA (Summa cum laude), Cognitive Psychology, School of Psychological Sciences, Tel Aviv University; Advisor: Prof. Roy Luria
2014
The Adi Lautman Interdisciplinary Program for Outstanding Students (Special direct-MA program), Tel Aviv University
2023
Senior Lecturer, Department of Education and Psychology, The Open University of Israel
2022-2023
Postdoctoral Associate, Department of Brain and Cognitive Sciences, MIT, and Department of Psychology, Harvard University; Advisor: Prof. Josh Tenenbaum (MIT), Collaborator: Prof. Tomer Ullman (Harvard)
2019-2022
Postdoctoral Fellow, Department of Department of Brain and Cognitive Sciences, MIT; Advisor: Prof. Josh Tenenbaum

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Balaban, H., Drew, T., & Luria, R. (2023). Dissociable online integration processes in visual working memory. Cerebral Cortex, bhad378.

Balaban, H., Assaf, D., Arad Meir, M., & Luria, R. (2020). Different features of real-world objects are represented in a dependent manner in long-term memory. Journal of Experimental Psychology: General, 149(7), 1275-1293. IF: 3.49, Q1 Psychology, Experimental: 12 of 88. 

Balaban, H., Fukuda, K., & Luria, R. (2019). What can half a million change detection trials tell us about visual working memory? Cognition, 191, 103984. IF: 3.53, Q1 Psychology, Experimental: 11 of 88.

Balaban, H., Drew, T., & Luria, R. (2019). Neural evidence for an object-based pointer system underlying working memory. Cortex, 119, 362-372. IF: 4.27, Q1 Behavioral Sciences: 5 of 53.

Balaban, H., Drew, T., & Luria, R. (2018). Delineating resetting and updating in visual working memory based on the object-to-representation correspondence. Neuropsychologia, 113, 85-94. IF: 2.87, Q1 Behavioral Sciences: 13 of 53.

Balaban, H., Drew, T., & Luria, R. (2018). Visual working memory can selectively reset a subset of its representations. Psychonomic Bulletin & Review, 25(5), 1877-1883. IF: 3.09, Q1 Psychology, Experimental: 14 of 85.

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. IF: 6.07, Q1 Neurosciences: 29 of 267.

Balaban, H., & Luria, R. (2016). Object representations in visual working memory change according to the task context. Cortex, 1-13. IF: 5.12, Q1 Neurosciences: 37 of 252.

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. IF: 8.66, Q1 Neurosciences: 16 of 252.

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. IF: 8.8, Q1 Neurosciences: 15 of 252.

Balaban, H., & Luria, R. (2015). The number of objects determines visual working memory capacity allocation for complex items. NeuroImage, 119, 54-62. IF: 6.35, Q1 Neurosciences: 24 of 252.

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. IF: 2.56, Q1 Psychology, Multidisciplinary: 23 of 129.

Balaban, H., & Luria, R. (2019). Using the contralateral delay activity to study online processing of items still within view. In Spatial Learning and Attention Guidance (pp. 107-128). Pollmann, S. (Ed.). Neuromethods. Humana Press.

Balaban, H., Smith, K. A., Tenenbaum, J. B., & Ullman, T. D. (Under Review). Electrophysiology reveals that intuitive physics guides visual tracking and working memory. PsyArxiv Preprint: https://doi.org/10.31234/osf.io/pr4ym