Prof. Dr. Anna Levina (Martius)
Contact
University of Tübingen
Maria von Linden Str. 6,
2nd floor
Email-address: anna.levina@uni-tuebingen.de
Main research:
- Self-organization of neuronal activity
- Critical dynamics in neuronal networks
- Excitation/Inhibition balance in cortical circuits
- Mathematics of criticality
- Complex networks
Short CV
since 2018
Assistant Professor for Computational Neuroscience
University of Tübingen
2017-2018
Group leader
University of Tübingen
20015-2017
IST Fellow
Institute of Science and Technology Austria
2011-2015
Associated researcher
Max Plank Institute for Mathematics in the Sciences
2011-2015
Postdoc and PI
Bernstein Center for Computational Neuroscience
2008-2011
Postdoc
Max Plank Institute for Dynamics and Self-Organization Göttingen
2008
Ph.D. in Mathematics
University of Göttingen
2003
Diploma in Mathematics
St. Petersburg State University, Russia
Selected publications:
Journal articles
- Zierenberg, J., Wilting J., Priesemann V., & Levina A. (2020) Tailored ensembles of neural networks optimize sensitivity to stimulus statistics Phys. Rev. Research 2, 013115.
- Das, A., & Levina, A. (2019). Critical Neuronal Models with Relaxed Timescale Separation. Physical Review X, 9(2), 1–30.
- Levina, A., & Priesemann, V. (2017). Subsampling scaling. Nature Communications, 8, 15140.
- Denker, M., & Levina, A. (2016). Avalanche dynamics. Stochastics and Dynamics, 16(02), 1660005. doi.org/10.1142/S0219493716600054
- Effenberger, F., Jost, J., & Levina, A. (2015). Self-organization in Balanced State Networks by STDP and Homeostatic Plasticity. PLoS Computational Biology, 11(9), 1–30.
- Nagler, J., Levina, A., & Timme, M. (2011). Impact of single links in competitive percolation. Nature Physics, 7(3), 265–270.
- Levina, A., Herrmann, J. M., & Geisel, T. (2009). Phase transitions towards criticality in a neural system with adaptive interactions. Physical Review Letters, 102(11), 118110.
- Levina, A., Herrmann, J. M., & Geisel, T. (2007). Dynamical synapses causing self-organized criticality in neural networks. Nature Physics, 3(12), 9.
Book chapters
- Priesemann V., Levina A., Wilting J. (2019) Assessing Criticality in Experiments. In: Tomen N., Herrmann J., Ernst U. (eds) The Functional Role of Critical Dynamics in Neural Systems. Springer Series on Bio- and Neurosystems, vol 11. Springer.
- Levina A, Herrmann JM, Geisel T. Theoretical neuroscience of self-organized criticality: from formal approaches to realistic models. Criticality in Neural Systems. 2014.
Functions and memberships:
- Equality officer, Department of Computer Science
- Board member of the Bernstein Center Tübingen
- Board member of CIN