| Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size T Schwalger, M Deger, W Gerstner PLoS computational biology 13 (4), e1005507, 2017 | 127 | 2017 |
| How noisy adaptation of neurons shapes interspike interval histograms and correlations T Schwalger, K Fisch, J Benda, B Lindner PLoS computational biology 6 (12), e1001026, 2010 | 83 | 2010 |
| Statistical structure of neural spiking under non-Poissonian or other non-white stimulation T Schwalger, F Droste, B Lindner Journal of computational neuroscience 39 (1), 29-51, 2015 | 64 | 2015 |
| Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuron K Fisch, T Schwalger, B Lindner, AVM Herz, J Benda Journal of Neuroscience 32 (48), 17332-17344, 2012 | 60 | 2012 |
| Slow fluctuations in recurrent networks of spiking neurons S Wieland, D Bernardi, T Schwalger, B Lindner Physical Review E 92 (4), 040901, 2015 | 57 | 2015 |
| Interspike interval statistics of a leaky integrate-and-fire neuron driven by Gaussian noise with large correlation times T Schwalger, L Schimansky-Geier Physical Review E 77 (3), 031914, 2008 | 52 | 2008 |
| Patterns of interval correlations in neural oscillators with adaptation T Schwalger, B Lindner Frontiers in Computational Neuroscience 7, 164, 2013 | 46 | 2013 |
| Fluctuations and information filtering in coupled populations of spiking neurons with adaptation M Deger*, T Schwalger*, R Naud, W Gerstner Physical Review E 90 (6), 062704, 2014 | 40 | 2014 |
| Mind the last spike—firing rate models for mesoscopic populations of spiking neurons T Schwalger, AV Chizhov Current opinion in neurobiology 58, 155-166, 2019 | 30 | 2019 |
| How single neuron properties shape chaotic dynamics and signal transmission in random neural networks SP Muscinelli, W Gerstner, T Schwalger PLoS computational biology 15 (6), e1007122, 2019 | 27* | 2019 |
| Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity V Schmutz, W Gerstner, T Schwalger The Journal of Mathematical Neuroscience 10 (1), 1-32, 2020 | 23 | 2020 |
| Characteristic effects of stochastic oscillatory forcing on neural firing: analytical theory and comparison to paddlefish electroreceptor data C Bauermeister, T Schwalger, DF Russell, AB Neiman, B Lindner PLoS computational biology 9 (8), e1003170, 2013 | 21 | 2013 |
| Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation LJ Shiau, T Schwalger, B Lindner Journal of Computational Neuroscience 38 (3), 589-600, 2015 | 19 | 2015 |
| Relation between cooperative molecular motors and active Brownian particles C Touya, T Schwalger, B Lindner Physical Review E 83 (5), 051913, 2011 | 18 | 2011 |
| Theory for serial correlations of interevent intervals T Schwalger, B Lindner The European Physical Journal Special Topics 187 (1), 211-221, 2010 | 18 | 2010 |
| Higher-order statistics of a bistable system driven by dichotomous colored noise T Schwalger, B Lindner Physical Review E 78 (2), 021121, 2008 | 18 | 2008 |
| Correlations in the sequence of residence times B Lindner, T Schwalger Physical review letters 98 (21), 210603, 2007 | 18 | 2007 |
| Interplay of two signals in a neuron with heterogeneous synaptic short-term plasticity F Droste, T Schwalger, B Lindner Frontiers in Computational Neuroscience 7, 86, 2013 | 17 | 2013 |
| Interspike-interval correlations induced by two-state switching in an excitable system T Schwalger, J Tiana-Alsina, MC Torrent, J Garcia-Ojalvo, B Lindner EPL (Europhysics Letters) 99 (1), 10004, 2012 | 16 | 2012 |
| May chaos always be suppressed by parametric perturbations? T Schwalger, A Dzhanoev, A Loskutov Chaos: An Interdisciplinary Journal of Nonlinear Science 16 (2), 023109, 2006 | 14 | 2006 |
Benjamin LindnerProf. for Theoretical Physics, Humboldt-Universität zu Berlin and BCCN BerlinVerified email at physik.hu-berlin.de
