| 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 | 174 | 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 | 94 | 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, 29-51, 2015 | 70 | 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 | 67 | 2012 |
| Slow fluctuations in recurrent networks of spiking neurons S Wieland, D Bernardi, T Schwalger, B Lindner Physical Review E 92 (4), 040901, 2015 | 66 | 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—Statistical, Nonlinear, and Soft Matter Physics 77 (3 …, 2008 | 57 | 2008 |
| 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 | 56* | 2019 |
| Patterns of interval correlations in neural oscillators with adaptation T Schwalger, B Lindner Frontiers in Computational Neuroscience 7, 164, 2013 | 54 | 2013 |
| 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 | 51 | 2019 |
| 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 | 49 | 2014 |
| Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity V Schmutz, W Gerstner, T Schwalger The Journal of Mathematical Neuroscience 10, 1-32, 2020 | 37 | 2020 |
| When shared concept cells support associations: Theory of overlapping memory engrams C Gastaldi, T Schwalger, E De Falco, RQ Quiroga, W Gerstner PLOS Computational Biology 17 (12), e1009691, 2021 | 33 | 2021 |
| 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 | 26 | 2013 |
| Low-dimensional firing-rate dynamics for populations of renewal-type spiking neurons B Pietras, N Gallice, T Schwalger Physical Review E 102 (2), 022407, 2020 | 23 | 2020 |
| 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, 589-600, 2015 | 21 | 2015 |
| Relation between cooperative molecular motors and active Brownian particles C Touya, T Schwalger, B Lindner Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 83 (5 …, 2011 | 21 | 2011 |
| Theory for serial correlations of interevent intervals T Schwalger, B Lindner The European Physical Journal Special Topics 187 (1), 211-221, 2010 | 21 | 2010 |
| Higher-order statistics of a bistable system driven by dichotomous colored noise T Schwalger, B Lindner Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 78 (2 …, 2008 | 19 | 2008 |
| Correlations in the sequence of residence times B Lindner, T Schwalger Physical review letters 98 (21), 210603, 2007 | 19 | 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 |
Benjamin LindnerProf. for Theoretical Physics, Humboldt-Universität zu Berlin and BCCN BerlinVerified email at physik.hu-berlin.de
