Rotter S - Search Results

1

Jovanović S, Hertz J, Rotter S. Jovanović S, et al. Among authors: rotter s. Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Apr;91(4):042802. doi: 10.1103/PhysRevE.91.042802. Epub 2015 Apr 7. Phys Rev E Stat Nonlin Soft Matter Phys. 2015. PMID: 25974542

2

Nonequilibrium dynamics of stochastic point processes with refractoriness.

Deger M, Helias M, Cardanobile S, Atay FM, Rotter S. Deger M, et al. Among authors: rotter s. Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Aug;82(2 Pt 1):021129. doi: 10.1103/PhysRevE.82.021129. Epub 2010 Aug 31. Phys Rev E Stat Nonlin Soft Matter Phys. 2010. PMID: 20866797

3

Recurrent interactions in spiking networks with arbitrary topology.

Pernice V, Staude B, Cardanobile S, Rotter S. Pernice V, et al. Among authors: rotter s. Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Mar;85(3 Pt 1):031916. doi: 10.1103/PhysRevE.85.031916. Epub 2012 Mar 29. Phys Rev E Stat Nonlin Soft Matter Phys. 2012. PMID: 22587132

4

Interplay between Graph Topology and Correlations of Third Order in Spiking Neuronal Networks.

Jovanović S, Rotter S. Jovanović S, et al. Among authors: rotter s. PLoS Comput Biol. 2016 Jun 6;12(6):e1004963. doi: 10.1371/journal.pcbi.1004963. eCollection 2016 Jun. PLoS Comput Biol. 2016. PMID: 27271768 Free PMC article.

5

Solving the two-dimensional Fokker-Planck equation for strongly correlated neurons.

Deniz T, Rotter S. Deniz T, et al. Among authors: rotter s. Phys Rev E. 2017 Jan;95(1-1):012412. doi: 10.1103/PhysRevE.95.012412. Epub 2017 Jan 30. Phys Rev E. 2017. PMID: 28208505

6

Functional identification of biological neural networks using reservoir adaptation for point processes.

Gürel T, Rotter S, Egert U. Gürel T, et al. Among authors: rotter s. J Comput Neurosci. 2010 Aug;29(1-2):279-299. doi: 10.1007/s10827-009-0176-0. Epub 2009 Jul 29. J Comput Neurosci. 2010. PMID: 19639401 Free PMC article.

7

Multiplicatively interacting point processes and applications to neural modeling.

Cardanobile S, Rotter S. Cardanobile S, et al. Among authors: rotter s. J Comput Neurosci. 2010 Apr;28(2):267-84. doi: 10.1007/s10827-009-0204-0. Epub 2010 Jan 6. J Comput Neurosci. 2010. PMID: 20052525

8

Modeling and analyzing higher-order correlations in non-Poissonian spike trains.

Reimer IC, Staude B, Ehm W, Rotter S. Reimer IC, et al. Among authors: rotter s. J Neurosci Methods. 2012 Jun 30;208(1):18-33. doi: 10.1016/j.jneumeth.2012.04.015. Epub 2012 Apr 26. J Neurosci Methods. 2012. PMID: 22561088

9

A new method to infer higher-order spike correlations from membrane potentials.

Reimer IC, Staude B, Boucsein C, Rotter S. Reimer IC, et al. Among authors: rotter s. J Comput Neurosci. 2013 Oct;35(2):169-86. doi: 10.1007/s10827-013-0446-8. Epub 2013 Mar 10. J Comput Neurosci. 2013. PMID: 23474914 Free PMC article.

10

From correlation to causation: Estimating effective connectivity from zero-lag covariances of brain signals.

Schiefer J, Niederbühl A, Pernice V, Lennartz C, Hennig J, LeVan P, Rotter S. Schiefer J, et al. Among authors: rotter s. PLoS Comput Biol. 2018 Mar 26;14(3):e1006056. doi: 10.1371/journal.pcbi.1006056. eCollection 2018 Mar. PLoS Comput Biol. 2018. PMID: 29579045 Free PMC article.

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