Self-organization of neuronal networks

Prof. Dr. Anna Levina (Martius)

Contact

University of Tübingen
Maria von Linden Str. 6,
2nd floor
Email-address:  anna.levinaspam prevention@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

Research Projects 

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

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