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Tatjana Tchumatchenko
© Tatjana Tchumatchenko
Prof. Dr. Tatjana Tchumatchenko

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Affiliations
  • Institut für Experimentelle Epileptologie und Kognitionsforschung
Research topics
  • computational neuroscience
My group is interested in the computational analysis of recurrent neural networks and the molecular dynamics of synapses. We are addressing how the molecular dynamics inside the dendrites is organized and how its dynamics can lead to synaptic plasticity outcomes. We are investigating how the synaptic learning rules, supervised and unsupervised help the neural network solve computational tasks.
Selected publications

Chater*, T.E., Eggl*, M.F., Goda#, Y. and Tchumatchenko#, T. Competitive processes shape multi-synapse plasticity along dendritic segments. Nat Comm 15, 7572 (2024). https://doi.org/10.1038/s41467-024-51919-0 (#co-corresponding authors)

Kraynyukova, N.*, Renner, S.*, Born, G., Bauer, Y., Spacek, M.A., Tushev, G., Busse#, L., and Tchumatchenko#, T. . "In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules." Proceedings of the National Academy of Sciences 119.41 (2022): e2207032119. https://doi.org/10.1073/pnas.2207032119. (#co-corresponding authors)

Fonkeu, Y., Kraynyukova, N., Hafner, A-S., Sartori, F., Schuman, E. M., and Tchumatchenko, T.. “How mRNA Localization and Protein Synthesis Sites Influence Dendritic Protein Distribution and Dynamics.” Neuron vol. 103,6 (2019): 1109-1122.e7. https://doi.org/10.1016/j.neuron.2019.06.022 

Kraynyukova, N., and Tchumatchenko, T.. "Stabilized supralinear network can give rise to bistable, oscillatory, and persistent activity." Proceedings of the National Academy of Sciences 115.13 (2018): 3464-3469. https://doi.org/10.1073/pnas.1700080115

Tatjana Tchumatchenko
© Tatjana Tchumatchenko
Prof. Dr. Tatjana Tchumatchenko

Website

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