Professor of Computational Neuroscience of Behaviour
Contact
Email: tat@tchumatchenko.de
Education/Degrees:
| 2011 | Dr. rer. nat. in Computational Neuroscience, Göttingen University, Germany, Summa cum laude. |
| 2006 | Diplom in Physics, Technical University of Darmstadt, Germany |
| 2001 | Abitur at the Augustiner Schule Friedberg, Germany |
Academic Career:
| 2011 – 2013 | Postdoctoral fellow at the Center for Theoretical Neuroscience, Columbia University, New York City, USA |
| 2013-2021
|
Independent Max Planck Research Group Leader, Head of the group “Theory of Neural Dynamics”, Max Planck Institute for Brain Research, Frankfurt, Germany. |
Awards and Honors:
2020 ERC Starting grant 2020, MolDynForSyn Project
2020 Member of the Young Academy of Europe
2018 Three-year grant of DFG Computational Connectomics priority program
2018 Selected by the Focus Magazine as one of 25 young innovators who will shape Germany in the next 25 years https://www.focus.de/magazin/archiv/politik-25-menschen-fuer-die-naechsten-fuenfundzwanzig-jahre_id_8293088.html
2016 Dollwet Foundation Award
2016 Heinz Maier-Leibnitz-Prize of the German Research Foundation
2013-2015 Behrens-Weise-Foundation Award
2013 Fellowship at the Interdisciplinary Center for Neuroscience, Frankfurt am Main
2011-2013 Computational Sciences fellowship at the Volkswagen Foundation
2009 Sloan Swartz Travel Grant
2008-2010 Five travel grants competitively awarded by the Göttingen Graduate School
2004-2006 Fellowship at the German National Merit Foundation (Studienstiftung des deutschen Volkes)
2001 Award of the Membership in the German Physics Society (DPG) upon high-school graduation for excellent exam results
Memberships, academic and professional duties (selection):
2019,2020 Reviewer for the European Commission
Since 2020 Faculty member Max Planck Research School for Brain and Behavior
2019 Brains4Brains Bernstein Award Committee member
2019,2020 Selection committee member for the Add-on Fellowships for Interdisciplinary Life Science for the Joachim Herz Foundation
2018,2019 Workshop Chair and Co-Chair for the Bernstein Conference
2018, 2020 Elected Steering Committee member at the Bernstein Computational Neuroscience Network
2017, 2019 Brains4Brains Bernstein Award Committee member
2019 Member of the selection committee for the Add-on Fellowship for Interdisciplinary Life Science at the Joachim Herz Foundation
2018 Max Planck Selection Committee member for a group leader position
2015-2017 Program Committee member of the Organization for Computational Neuroscience (CNS)
2015-2018 Program Committee member of the Computational and Systems Neuroscience Conference (Cosyne)
2013-2020 Faculty member Max Planck Research School for Neural Circuits
2016 Host for Workshop “Signatures of efficient neural coding” at the Bernstein Conference, jointly with Susanne Schreiber
2016 Program committee member and session host for “Coding Strategies in Networks of Neurons” at the Rhine-Main neuroscience network biannual meeting
2015-2018 Max Planck Selection Committee member for the nomination of new director in the MPG biomedical section
2013 Host for Frontiers Research Topic “Correlated neuronal activity and its relationship to coding, dynamics and network architecture”, jointly with Ruben Moreno-Bote and Robert Rosenbaum
2013 Host for Workshop “Functional role of correlations: theory and experiment” at the Society for Computational Neuroscience annual Meeting, Paris, France, jointly with Srdjan Ostojic
- Alumni representative of Göttingen Graduate School for national review
List of 10 most important publications
- Fonkeu, Y., Kraynuykova, N., Hafner, A-S., Sartori, F., Schuman, E.M., Tchumatchenko, T. (2019) How mRNA Localization and Protein Synthesis Sites Influence Dendritic Protein Distribution and Dynamics. Neuron, 103, 1109–1122.
- Fabio Sartori, Anne-Sophie Hafner, Ali Karimi, Yombe Fonkeu, Erin M. Schuman, Tatjana Tchumatchenko (2020) Statistical Laws of Protein Motion in Neuronal Dendritic Trees. Cell Reports 33 (7) 108391
- Kraynuykova, N., and Tchumatchenko, T. (2018) Stabilized supralinear network can give rise to bistable, oscillatory, and persistent activity. PNAS, 115, 3464–3469.
- Herfurth, T., and Tchumatchenko, T. (2017) How linear response shaped models of neural circuits and the quest for alternatives. Current Opinion in Neurobiology, 46, 234–240.
- Tchumatchenko, T., and Clopath, C. (2014) Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance. Nature Communications, 5, 5512.
- Herfurth, T., and Tchumatchenko, T. (2019) Information transmission of mean and variance coding in integrate-and-fire neurons. Physical Review E, 99, 032420.
- Dettner, A., Münzberg, S., Tchumatchenko, T. (2016) Temporal pairwise spike correlations fully capture single-neuron information. Nature Communications, 7, 13805.
- Tchumatchenko, T., Malyshev, A., Wolf, F., Volgushev, M. (2011) Ultrafast population encoding by cortical neurons. Journal of Neuroscience, 31, 12171–12179.
- Tchumatchenko, T., Malyshev, A., Geisel, T., Volgushev, M., Wolf, F. (2010) Correlations and synchrony in threshold neuron models. Physical Review Letters, 104, 058102.
- Tchumatchenko, T., Geisel, T., Volgushev, M., Wolf, F. (2010) Signatures of synchrony in pairwise count correlations. Frontiers in Computational Neuroscience, 4, 1.