Personal profile
Research interests
I'm mainly working in the realms of Artificial Intelligence, on a wide array of problems relating to the development of cognitive models, decision-making, autonomous agents, game playing, and negotiations.
I am also a co-director of the Neuro-Information-Systems Lab (NeuroIS) at Ariel University, together with Dr. Ilan Laufer. Our lab focuses on neuroscience and neurophysiological theories coupled with Artificial Intelligence techniques to understand the development, use, and impact of information Systems.
Keywords
- QA75 Electronic computers. Computer science
- Artificial Intelligence
- NeuroIS
- Cognitive Models
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Attachment Style, Task Difficulty, and Feedback Type: Effects on Cognitive Load
Mizrahi, D., Laufer, I. & Zuckerman, I., Apr 2025, In: Behavioral Sciences. 15, 4, 427.Research output: Contribution to journal › Article › peer-review
Open Access -
Comparative analysis of ROCKET-driven and classic EEG features in predicting attachment styles
Mizrahi, D., Laufer, I. & Zuckerman, I., Dec 2024, In: BMC psychology. 12, 1, 87.Research output: Contribution to journal › Article › peer-review
Open Access -
Corrigendum: Attachment style, emotional feedback, and neural processing: investigating the influence of attachment on the P200 and P400 components of event-related potentials (Frontiers in Human Neuroscience, (2023), 17, (1249978), 10.3389/fnhum.2023.1249978)
Zuckerman, I., Laufer, I. & Mizrahi, D., 2024, In: Frontiers in Human Neuroscience. 18, 1406968.Research output: Contribution to journal › Comment/debate
Open Access -
Enhancing EEG-based attachment style prediction: unveiling the impact of feature domains
Laufer, I., Mizrahi, D. & Zuckerman, I., 2024, In: Frontiers in Psychology. 15, 1326791.Research output: Contribution to journal › Article › peer-review
Open Access -
Exploring Cognitive Load in the Secretary Problem Using EEG Signals
Mizrahi, D., Zuckerman, I. & Laufer, I., 2024, Intelligent Systems and Applications - Proceedings of the 2024 Intelligent Systems Conference IntelliSys Volume 2. Arai, K. (ed.). Springer Science and Business Media Deutschland GmbH, p. 664-674 11 p. (Lecture Notes in Networks and Systems; vol. 1066 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review