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Showing 1–11 of 11 results
Advanced filters: Author: Tatjana Tchumatchenko Clear advanced filters

  • Novel headphone technology employs bone conduction to enable hearing, but the mechanism behind this remains unclear. Tchumatchenko and Reichenbach now show that bone conduction and subsequent hearing and otoacoustic emissions are in part due to deformation of the cochlear bone.

    • Tatjana Tchumatchenko
    • Tobias Reichenbach
    ResearchOpen Access
    Nature Communications
    Volume: 5, P: 1-10

  • To understand the neural code it is important to determine what spiking features contain the relevant information. Here, the authors use mathematical approaches to show that two pair-wise correlation functions, the autocorrelation function within spike trains and cross-correlation function across stimulus presentations, fully determine the neural information content.

    • Amadeus Dettner
    • Sabrina Münzberg
    • Tatjana Tchumatchenko
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-11

  • How synaptic plasticity is determined by neighboring synapses sharing and competing for resources is not fully understood. By combining experimental and modelling methods, the authors show that spine plasticity outcome is subject to cluster size of active spines where edge spines outcompete middle spines.

    • Thomas E. Chater
    • Maximilian F. Eggl
    • Tatjana Tchumatchenko
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-16

  • Various factors can be involved in the quantities of mRNAs and proteins in neurons. In this study, the authors show that the drive to save energy determines transcript quantities and their location while acting differently for each molecular species depending on their fundamental parameters.

    • Cornelius Bergmann
    • Kanaan Mousaei
    • Tatjana Tchumatchenko
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15

  • Internal representations are crucial for solving tasks for natural and artificial agents. Here, using reinforcement learning and artificial neural networks, the authors present a framework to analyze the formation of individual and shared abstractions and their impact on task performance.

    • Tobias J. Wieczorek
    • Tatjana Tchumatchenko
    • Maximilian F. Eggl
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-15

  • A biophysical model, based on astrocyte-mediated feedback in CA1 neurons, aligns with the BCM model, explaining learning deficits in mice when D-serine regulation is disrupted

    • Lorenzo Squadrani
    • Carlos Wert-Carvajal
    • Tatjana Tchumatchenko
    ResearchOpen Access
    Communications Biology
    Volume: 7, P: 1-10

  • Dedicated cells in the hippocampus and entorhinal cortex map an animal s instantaneous position in space; by contrast, its future goal location is represented in the orbitofrontal cortex, a structure within the broader circuit.

    • Raunak Basu
    • Robert Gebauer
    • Hiroshi T. Ito
    ResearchOpen Access
    Nature
    Volume: 599, P: 449-452

  • A stochastic model describes how spontaneous synaptic fluctuations and local plasticity both contribute to population-level synaptic dynamics.

    • Maximilian F. Eggl
    • Thomas E. Chater
    • Tatjana Tchumatchenko
    ResearchOpen Access
    Communications Biology
    Volume: 6, P: 1-13