Dr. Tatjana Tchumatchenko
Max Planck Institute for Brain Research
60438 Frankfurt am Main
Tel +49 (0) 69/ 8500331450
Our research focuses on the computational modeling and mathematical analysis of single neurons, neuronal populations and recurrent networks. We employ analytic tools and computer simulations to investigate how single neurons and populations respond to their synaptic inputs, and how they interact to give rise to functioning neuronal circuits. Areas of particular interest include the role of synaptic adaptation, information representation, response time scales and the temporal and cross neuronal correlations. – See more at: http://www.brain.mpg.de/research/tchumatchenko-mpr-group/#sthash.Jk2fokhk.dpuf
We employ a combination of analytical techniques that include linear and non-linear differential equations and their solutions via linear perturbation theory, stochastic integrals (e.g correlated Gaussian ensemble), Fokker Planck formalism, interacting stochastic processes. On the computational side we use numerical simulations and modern programming languages.
Whenever possible we aim to verify the theoretical results in collaboration with experimental colleagues. We have therefore close ties to physiology laboratories and seek out new collaborations that provide intracellular recordings, multi-unit spiking activity with maximal simultaneous stimulus control.
Dettner, S. Münzberg, T. Tchumatchenko, Temporal pairwise spike correlations fully capture single-neuron information, Nature Communications 7, 13805 doi: 10.1038/ncomms13805 (2016)
Tchumatchenko T, Clopath C (2014). Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance, Nat Communications 5: 5512. doi: 10.1038/ncomms6512
Tchumatchenko T and Reichenbach T (2014). A cochlear-bone wave can yield a hearing sensation as well as otoacoustic emission, Nat Communications 5: 4160. doi: 10.1038/ncomms5160
Tchumatchenko T., Malyshev A, Wolf F, Volgushev M (2011). Ultra-fast population encoding by cortical neurons, Journal of Neuroscience, 31(34): 12171-12179.
T. Tchumatchenko, A. Malyshev, T. Geisel, M. Volgushev and F. Wolf. Correlations and synchrony in threshold neuron models Phys Rev Lett 104 (5), 058102 (2010)