Anna Levina

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen, affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits.

• Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science)
• Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011)

Her research integrates mathematical modeling, statistical physics, and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include:

• Self-organized criticality in neural systems
• Excitation/Inhibition balance mechanisms
• Network topology and dynamics
• Timescale analysis in neural processing
• Stochastic modeling of neural activity

Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow.