Dr. Tatjana Tchumatchenko

Staff Status
campusgoe
 

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  • 2020 Journal Article
    ​ ​Nonlinear response characteristics of neural networks and single neurons undergoing optogenetic excitation​
    Luboeinski, J. & Tchumatchenko, T. ​ (2020) 
    Network Neuroscience4(3) pp. 852​-870​.​ DOI: https://doi.org/10.1162/netn_a_00154 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Synaptic unreliability facilitates information transmission in balanced cortical populations​
    Gatys, L. A.; Ecker, A. S. ; Tchumatchenko, T.   & Bethge, M.​ (2015) 
    Physical Review. E91(6) art. 062707​.​ DOI: https://doi.org/10.1103/PhysRevE.91.062707 
    Details  DOI  PMID  PMC 
  • 2014 Preprint
    ​ ​How much signal is there in the noise?​
    Gatys, L. A.; Ecker, A. S. ; Tchumatchenko, T.  & Bethge, M.​ (2014)
    Details 
  • 2013 Conference Paper
    ​ ​Information Coding in the Variance of Neural Activity​
    Gatys, L.; Ecker, A. S. ; Tchumatchenko, T.   & Bethge, M.​ (2013)
    p. 44. ​Bernstein Conference 2013​, Tübingen.
    Details 
  • 2011 Journal Article
    ​ ​Spike Correlations – What Can They Tell About Synchrony?​
    Tchumatchenko, T. ; Geisel, T. ; Volgushev, M. & Wolf, F. ​ (2011) 
    Frontiers in Neuroscience5 art. 68​.​ DOI: https://doi.org/10.3389/fnins.2011.00068 
    Details  DOI 
  • 2011 Journal Article | 
    ​ ​Representation of Dynamical Stimuli in Populations of Threshold Neurons​
    Tchumatchenko, T.   & Wolf, F. ​ (2011) 
    PLOS Computational Biology7(10) art. e1002239​.​ DOI: https://doi.org/10.1371/journal.pcbi.1002239 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Correlations and Synchrony in Threshold Neuron Models​
    Tchumatchenko, T. ; Malyshev, A.; Geisel, T. ; Volgushev, M. & Wolf, F. ​ (2010) 
    Physical Review Letters104(5) art. 058102​.​ DOI: https://doi.org/10.1103/physrevlett.104.058102 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Signatures of synchrony in pairwise count correlations​
    Tchumatchenko, T. ; Geisel, T. ; Volgushev, M. & Wolf, F. ​ (2010) 
    Frontiers in Computational Neuroscience4 pp. 1​-10​.​ DOI: https://doi.org/10.3389/neuro.10.001.2010 
    Details  DOI 

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