Articles

P Ekelmans, N Kraynyukova, T Tchumatchenko

Targeting operational regimes of interest in recurrent neural networks

PloS Comp (2023) [Journal Link]

S Wagle, N Kraynyukova, A-S Hafner, T Tchumatchenko

Computational insights into mRNA and protein dynamics underlying synaptic plasticity rules

Mol Cell Neurosci (2023) [Journal Link]

P Verzelli*, A Nold*, C Sun, M Heilemann, EM Schuman, T Tchumatchenko (*equal contrib.)

Unbiased choice of global clustering parameters for single-molecule localization microscopy

Science Reports (2022) [Journal Link]

N. Kraynyukova*, S. Renner*, G. Born, Y. Bauer, M.A. Spacek, G. Tushev, L. Busse*, T. Tchumatchenko* (*equal contr)

In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules

PNAS (2022) [Journal Link]

S. Becker, A. Nold, T Tchumatchenko

Modulation of working memory duration by synaptic and astrocytic mechanisms

PloS Comp Biol (2022) [Journal Link]

L Bernaez Timon*, P Ekelmans*, N Kraynyukova*, T Rose, L Busse, T Tchumatchenko (*equal contr)

How to incorporate biological insights into network models and why it matters

Journal of Physiology (2022) [Journal Link]

C Wert-Carvajal, M Reneaux, T Tchumatchenko, C Clopath

Dopamine and serotonin interplay for valence-based spatial learning

Cell Reports (2022) [Journal Link]

L Bernaez Timon, P Ekelmans, S Konrad, A Nold, and T Tchumatchenko

Synaptic plasticity controls the emergence of population-wide invariant representations in balanced network models

Phys. Rev. Research (2022) [Journal Link]

R Basu, R Gebauer, T Herfurth, S Kolb, Z Golipour, T Tchumatchenko, H Ito

The orbitofrontal cortex maps future navigational goals

Nature (2021) [Journal Link]

C Sun, A Nold, CM Fusco, V Rangaraju, T Tchumatchenko, M Heilemann, EM Schuman

The prevalence and specificity of local protein synthesis during neuronal synaptic plasticity

Science Advances (2021) [Journal Link]

F Sartori, A-S Hafner, A Karimi, A Nold, Y Fonkeu, EM Schuman, T Tchumatchenko

Statistical Laws of Protein Motion in Neuronal Dendritic Trees

Cell Reports (2020) [Journal Link]

A Nold, D Batulin, K Birkner, S Bittner, T Tchumatchenko

How Repair-or-Dispose Decisions Under Stress Can Initiate Disease Progression

iScience (2020) [Journal Link]

J Luboeinski and T Tchumatchenko

Nonlinear response characteristics of neural networks and single neurons undergoing optogenetic excitation

Network Neuroscience (2020) [Journal Link]

Y Fonkeu, N Kraynyukova, A-S Hafner, F Sartori, E. M. Schuman, T Tchumatchenko

How mRNA Localization and Protein Synthesis Sites Influence Dendritic Protein Distribution and Dynamics

NEURON (2019) [Journal Link]

Author version pdf can be found here [pdf] and a preview article by C. O'Donnell [Link]

F1000Prime Recommendation by L. Jan [Link]

T Herfurth and T Tchumatchenko

Information transmission of mean and variance coding in integrate-and-fire neurons

Phys Rev E (2019) [Journal Link]

T Herfurth and T Tchumatchenko

Quantifying encoding redundancy induced by rate correlations in Poisson neurons

Phys Rev E (2019) [Journal Link]

N Kraynyukova and T Tchumatchenko

Stabilized supralinear network can give rise to bistable, oscillatory, and persistent activity

PNAS (2018) [Journal Link]

T Herfurth and T Tchumatchenko

How linear response shaped models of neural circuits and the quest for alternatives

Current Opinion in Neurobiology (2017) [Journal Link]

A Dettner*, S Muenzberg* and T Tchumatchenko (*equal contrib, alphabetical order)

Temporal pairwise spike correlations fully capture single-neuron information

Nature Communications (2016) [Journal Link]

L. A. Gatys, A. S. Ecker, T Tchumatchenko, and M Bethge

Synaptic unreliability facilitates information transmission in balanced cortical populations

Phys Rev E (2015) [Journal Link]

T Tchumatchenko* and C Clopath* (*equal contribution)

Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance

Nature Communications (2014) [Journal Link]

R Rosenbaum, T Tchumatchenko and R Moreno-Bote

Correlated neuronal activity and its relationship to coding, dynamics and network architecture

Front. Comput. Neurosci. (2014) [Journal Link]

T. Tchumatchenko and T. Reichenbach

A cochlear-bone wave can yield a hearing sensation as well as otoacoustic emission

Nature Communications (2014) [Journal Link]

E. Di Bernardino, J. Leon and T. Tchumatchenko

Cross-Correlations and Joint Gaussianity in Multivariate Level Crossing Models

J Math Neurosci (2014) [Journal Link]

A. Malyshev, T. Tchumatchenko, S. Volgushev, M. Volgushev

Energy-efficient encoding by shifting spikes in neocortical neurons

Eur J Neurosci (2013) [Journal Link]

T Tchumatchenko, J. P. Newman, M.-f. Fong, S. M. Potter

Delivery of time-varying stimuli using ChR2

Front Neural Circuits (2013) [Journal Link]

T. Tchumatchenko and F. Wolf

Representation of dynamical stimuli in populations of threshold neurons

PLoS Computational Biology (2011) [Journal Link]

T. Tchumatchenko, A. Malyshev, F. Wolf, and M. Volgushev

Ultra-fast population encoding by cortical neurons

J Neurosci (2011) [Journal Link]

T. Tchumatchenko, T. Geisel, M. Volgushev, and F. Wolf

Spike correlations - what can they tell about synchrony?

Frontiers in Neuroscience 5(68):doi: 10.3389/fnins.2011.00068.2011 (2011) [Journal Link]

T. Tchumatchenko, T. Geisel, M. Volgushev, and F. Wolf

Signatures of synchrony in pairwise count correlations

Front. Comput. Neurosci. doi:10.3389/neuro.10.001.2010 (2010)[Journal Link]

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) [Journal Link]

Editorial

I'm hosting together with Ruben Moreno-Bote and Robert Rosenbaum a Frontiers Research Topic on Correlated neuronal activity and its relationship to coding, dynamics and network architecture. We welcome you to participate and submit a research article to our topic! [Research Topic Link]

I'm hosting together with Srdjan Ostojic a Workshop on Functional role of correlations: theory and experiment. [Workshop Link]

Selected abstracts (refereed and non-refereed)

Poster at the 20th Computational Neuroscience Meeting CNS*2011, Stockholm (Sweden)
23.-28.7.2011 [ Abstract Link ]

Poster (T26-16C) The ninth Göttingen Meeting of the German Neuroscience Society
23.-27.3. 2011 [ Abstract Link ]

Poster (414.18/PPP16) at the Society for Neuroscience annual meeting, San Diego (USA)
13.-17.11.2010 [ Abstract Link ]

Poster (192.55/B55)at the 7th FENS Forum of European Neuroscience, Amsterdam (Netherlands)
3.-7.07.2010 [ Conference Link ]

Poster (687.20/HH38) at the Society for Neuroscience annual meeting, Chicago (USA)
17.-21.10.2009 [ Abstract Link ]

Poster (W46, p. 86-87) at the BCCN Symposium, Frankfurt (Germany)
30.09-2.10.2009[ Abstract Link ]

Poster at the 18th Computational Neuroscience Meeting CNS*2009, Berlin (Germany)
18.-23.7.2009 [ Abstract Link ]

Poster (T26-1A) at the 8th Goettingen Meeting of German Neuroscience Society, Goettingen (Germany)
25.-29.03.2009 [ Conference Link ]

Poster (498.6/VV24) at the Society for Neuroscience annual meeting, Washington (USA)
15.-19.11.2008 [ Abstract Link ]