1. Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity
      Pietras, B., Schmutz, V., and Schwalger, T.
      arXiv preprint arXiv:2204.01675 Apr 2022
    1. When shared concept cells support associations: Theory of overlapping memory engrams
      Gastaldi, C., Schwalger, T., De Falco, E., Quiroga, R. Q., and Gerstner, W.
      PLOS Comput. Biol. Dec 2021
    2. Mapping Input Noise to Escape Noise in Integrate-and-fire neurons: A Level-Crossing Approach
      Schwalger, T.
      Biol. Cybern. Dec 2021
    3. On a finite-size neuronal population equation
      Schmutz, V., Löcherbach, E., and Schwalger, T.
      arXiv preprint arXiv:2106.14721 Dec 2021
    1. Low-dimensional firing-rate dynamics for populations of renewal-type spiking neurons
      Pietras, B., Gallice, N., and Schwalger, T.
      Phys. Rev. E Dec 2020
    2. Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity
      Schmutz, V., Gerstner, W., and Schwalger, T.
      J. Math. Neurosc. Dec 2020
    1. Mind the Last Spike ‚Äď Firing Rate Models for Mesoscopic Populations of Spiking Neurons
      Schwalger, T., and Chizhov, A. V.
      Curr. Opin. Neurobiol. Dec 2019
    2. How single neuron properties shape chaotic dynamics and signal transmission in random neural networks
      Muscinelli, S. P., Gerstner, W., and Schwalger, T.
      PLoS Comput. Biol. Jun 2019
      1. Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size
        Schwalger, T., Deger, M., and Gerstner, W.
        PLoS Comput. Biol. Jun 2017
      1. A model of synaptic reconsolidation
        Kastner*, D. B., Schwalger, T.*, Ziegler, L., and Gerstner, W.
        Front. Neurosci. Jun 2016
      1. Analytical approach to an integrate-and-fire model with spike-triggered adaptation
        Schwalger, T., and Lindner, B.
        Phys. Rev. E Dec 2015
      2. Statistical structure of neural spiking under non-Poissonian or other non-white stimulation
        Schwalger, T., Droste, F., and Lindner, B.
        J. Comput. Neurosci. Dec 2015
      3. Slow fluctuations in recurrent networks of spiking neurons.
        Wieland, S., Bernardi, D., Schwalger, T., and Lindner, B.
        Phys. Rev. E Dec 2015
      4. Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation.
        Shiau, L., Schwalger, T., and Lindner, B.
        J. Comput. Neurosci. Jun 2015
      1. Fluctuations and information filtering in coupled populations of spiking neurons with adaptation
        Deger*, M., Schwalger*, T., Naud, R., and Gerstner, W.
        Phys. Rev. E Dec 2014
      1. Patterns of interval correlations in neural oscillators with adaptation
        Schwalger, T., and Lindner, B.
        Front. Comput. Neurosci. Dec 2013
      2. When the leak is weak ‚Äď how the first-passage statistics of a biased random walk can approximate the ISI statistics of an adapting neuron
        Schwalger, T., Miklody, D., and Lindner, B.
        Eur. Phys. J. Spec. Topics Dec 2013
      3. Characteristic Effects of Stochastic Oscillatory Forcing on Neural Firing Statistics: Theory and Application to Paddlefish Electroreceptor Afferents
        Bauermeister*, C., Schwalger*, T., Russell, D.F., Neiman, A.B., and Lindner, B.
        PLoS Comp. Biol. Dec 2013
      4. Interplay of two signals in a neuron with heterogeneous synaptic short-term plasticity.
        Droste, F., Schwalger, T., and Lindner, B.
        Front. Comp. Neurosci. Dec 2013
      1. Interspike-interval correlations induced by two-state switching in an excitable system
        Schwalger, T., Tiana-Alsina, J., Torrent, M. C., Garcia-Ojalvo, J., and Lindner, B.
        EPL Dec 2012
      2. Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuron.
        Fisch, K., Schwalger, T., Lindner, B., Herz, A.V.M., and Benda, J.
        J. Neurosci. Dec 2012
      1. Relation between cooperative molecular motors and active Brownian particles
        Touya, C., Schwalger, T., and Lindner, B.
        Phys. Rev. E Dec 2011
      1. Theory for serial correlations of interevent intervals
        Schwalger, T., and Lindner, B.
        Eur. Phys. J.-Spec. Top. Dec 2010
      2. How Noisy Adaptation of Neurons Shapes Interspike Interval Histograms and Correlations
        Schwalger, T., Fisch, K., Benda, J., and Lindner, B.
        PLoS Comput Biol Dec 2010
      1. Bifurcation analysis of synchronization dynamics in cortical feed-forward networks in novel coordinates
        Schwalger, T., Goedeke, S., and Diesmann, M.
        BMC Neurosci Dec 2009
      1. Higher-order statistics of a bistable system driven by dichotomous colored noise
        Schwalger, T., and Lindner, L.
        Phys. Rev. E Dec 2008
      2. Interspike interval statistics of a leaky integrate-and-fire neuron driven by Gaussian noise with large correlation times
        Schwalger, T., and Schimansky-Geier, L.
        Phys. Rev. E Dec 2008
      3. Theory of neuronal spike densities for synchronous activity in cortical feed-forward networks
        Goedeke, S., Schwalger, T., and Diesmann, M.
        BMC Neurosci Dec 2008
      1. Correlations in the Sequence of Residence Times
        Lindner, B., and Schwalger, T.
        Phys. Rev. Lett. Dec 2007
      1. May chaos always be suppressed by parametric perturbations?
        Schwalger, T., Dzhanoev, A., and Loskutov, A.
        Chaos Dec 2006