Farhad Farkhondeh Tale Navi
I hold a Ph
.D. in Cognitive Neuroscience, with a strong foundation in engineering. My research focuses on decision-making, memory systems, brain oscillations, and cognition. I am particularly interested in leveraging cutting-edge approaches, such as closed-loop systems, machine learning, neuromodulation techniques, and computational neuroscience, to drive advancements in brain and cognitive research.
Employment Information
| Faculty/Department | Position/Rank | Employment Type | Cooperation Type | Grade |
|---|---|---|---|---|
| (not set) | (not set) | (not set) | Full Time |
Research Activities
Dr. Farhad Farkhondeh Tale Navi is an Assistant Professor of Cognitive Neuroscience at the University of Tabriz, with an interdisciplinary background spanning engineering, cognitive neuroscience, computational modeling, and neurotechnology. His research focuses on understanding how neural dynamics give rise to cognition, with particular interests in decision-making, memory, cognitive control, brain oscillations, and the computational mechanisms underlying human and animal behavior.
His work integrates cognitive neuroscience, EEG/ERP, computational cognitive modeling, machine learning, and closed-loop neurotechnology to move beyond the measurement of brain activity toward the investigation and modulation of cognitive processes. He is particularly interested in interventional approaches—including neurofeedback and closed-loop neuromodulation—as tools for investigating the causal contribution of neural dynamics to cognition and for developing evidence-based approaches to cognitive enhancement and rehabilitation.
Dr. Farkhondeh Tale Navi is also interested in NeuroAI, brain-inspired artificial intelligence, human–AI interaction, and computational approaches to cognition. His broader research vision is to bridge theories of cognition with quantitative models and engineering systems, translating principles discovered in cognitive neuroscience into intelligent technologies.
Academic Contributions:
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Computational Approaches in Social and Cognitive Neuroscience: Presented at BCNC2023, highlighting the integration of computational methods in neuroscience research.
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Panel on Closed-Loop Neurofeedback Systems: Participated in discussions on the future of neurofeedback systems at BCNC2018.
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