Tilo Schwalger

Affiliations: 
EPFL, Brain Mind Institute, Lausanne, Vaud, Switzerland 
Area:
stochastic processes, mean-field methods, spike train statistics, spike-frequency adaptation
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"Tilo Schwalger"
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Publications

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Muscinelli SP, Gerstner W, Schwalger T. (2019) How single neuron properties shape chaotic dynamics and signal transmission in random neural networks. Plos Computational Biology. 15: e1007122
Schwalger T, Deger M, Gerstner W. (2017) Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. Plos Computational Biology. 13: e1005507
Kastner DB, Schwalger T, Ziegler L, et al. (2016) A Model of Synaptic Reconsolidation. Frontiers in Neuroscience. 10: 206
Schwalger T, Lindner B. (2015) Analytical approach to an integrate-and-fire model with spike-triggered adaptation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 062703
Wieland S, Bernardi D, Schwalger T, et al. (2015) Slow fluctuations in recurrent networks of spiking neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 040901
Schwalger T, Droste F, Lindner B. (2015) Statistical structure of neural spiking under non-Poissonian or other non-white stimulation. Journal of Computational Neuroscience. 39: 29-51
Shiau L, Schwalger T, Lindner B. (2015) Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation. Journal of Computational Neuroscience. 38: 589-600
Deger M, Schwalger T, Naud R, et al. (2014) Fluctuations and information filtering in coupled populations of spiking neurons with adaptation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 062704
Schwalger T, Lindner B. (2013) Patterns of interval correlations in neural oscillators with adaptation. Frontiers in Computational Neuroscience. 7: 164
Bauermeister C, Schwalger T, Russell DF, et al. (2013) Characteristic effects of stochastic oscillatory forcing on neural firing: analytical theory and comparison to paddlefish electroreceptor data. Plos Computational Biology. 9: e1003170
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