Roxana Zeraati

Roxana Zeraati is a postdoctoral researcher at the Max Planck Institute for Biological Cybernetics, previously affiliated with the Graduate Training Center of Neuroscience at the University of Tübingen. Her work bridges systems and computational neuroscience, focusing on adaptive learning and neural dynamics.

• PhD in Computational Neuroscience (2019-2024), University of Tübingen
• MSc in Neural Information Processing (2016-2018), University of Tübingen
• BSc in Biomedical Engineering (2011-2016) and Physics (2011-2015), Amirkabir University

Her research investigates how neural timescales adapt to environmental demands, linking spatiotemporal dynamics to behavior through computational models and data analysis. Key projects include:

• Exploring single-neuron vs. network-mediated timescales in adaptive behavior
• Developing task-optimized RNNs to study working memory mechanisms
• Analyzing neural activity fluctuations across brain regions

Her 2024 Attempto Award recognized contributions to understanding neural timescales in visual information processing and attention.