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Plos Computational Biology|February 20, 2024
Intra-ripple frequency accommodation in an inhibitory network model for hippocampal ripple oscillationsNatalie Schieferstein, Tilo Schwalger, Benjamin Lindner, et al.Plos Computational Biology|August 23, 2013
Characteristic effects of stochastic oscillatory forcing on neural firing: analytical theory and comparison to paddlefish electroreceptor dataChristoph Bauermeister, Tilo Schwalger, David F Russell, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 1, 2012
Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuronKarin Fisch, Tilo Schwalger, Benjamin Lindner, et al.Biological Cybernetics|October 20, 2021
Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approachTilo SchwalgerCurrent Opinion in Neurobiology|October 8, 2019
Mind the last spike - firing rate models for mesoscopic populations of spiking neuronsTilo Schwalger, Anton V ChizhovPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 4, 2008
Interspike interval statistics of a leaky integrate-and-fire neuron driven by Gaussian noise with large correlation timesTilo Schwalger, Lutz Schimansky-GeierPlos Computational Biology|April 20, 2017
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite sizeTilo Schwalger, Moritz Deger, Wulfram GerstnerJournal of Mathematical Neuroscience|April 8, 2020
Mesoscopic population equations for spiking neural networks with synaptic short-term plasticityValentin Schmutz, Wulfram Gerstner, Tilo SchwalgerChaos (Woodbury, N.Y.)|July 11, 2006
May chaos always be suppressed by parametric perturbations?Tilo Schwalger, Arsen Dzhanoev, Alexander LoskutovPhysical Review. E|September 18, 2020
Low-dimensional firing-rate dynamics for populations of renewal-type spiking neuronsBastian Pietras, Noé Gallice, Tilo SchwalgerPageof 16