Eero Satuvuori, Mario Mulansky, Andreas Daffertshofer and Thomas Kreuz
Using spike train distances to identify the most discriminative neuronal subpopulation
Journal of Neuroscience Methods, in print (2018)


Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic, Irene Malvestio, Fleur Zeldenrust, Kerstin Lenk and Thomas Kreuz
Measures of spike train synchrony for data with multiple time scales
Journal of Neuroscience Methods 287, 25-38 (2017)


Thomas Kreuz, Eero Satuvuori, Martin Pofahl and Mario Mulansky
Leaders and followers: Quantifying consistency in spatio-temporal propagation patterns
New Journal of Physics 19 (4), 043028 (2017)


Mario Mulansky and Thomas Kreuz
PySpike - A Python library for analyzing spike train synchrony
SoftwareX 5, 183-189 (2016)

Mario Mulansky, Andreea Sburlea, Nebojsa Bozanic and Thomas Kreuz
A guide to time-resolved and parameter-free measures of spike train synchrony
Int. Conf. on Event-based Control, Communication, and Signal Processing, pp.1-8, 2015

Thomas Kreuz, Mario Mulansky and Nebojsa Bozanic
SPIKY: A graphical user interface for monitoring spike train synchrony
Journal of Neurophysiology Vol. 113 no. 9, 3432-3445 (2015)


Mario Mulansky and Karsten Ahnert
Odeint Library
Scholarpedia, 9(12):32342 (2014)


Nebojsa Bozanic, Mario Mulansky and Thomas Kreuz
Scholarpedia, 9(12):32344 (2014)

Mario Mulansky
Optimizing Large-Scale ODE Simulations
arXiv:1412.0544 [physics.comp-ph] (submitted to SIAM Journal of Scientific Computing)


Mario Mulansky
Boosting ODE simulations with Boost.odeint and Boost.SIMD
Codeproject (2014)

Karsten Ahnert, Denis Demidov and Mario Mulansky
Solving Ordinary Differential Equations on GPUs
Numerical Computations with GPUs, Springer International Publishing, p. 125-157 (2014) (Book chapter)

Mario Mulansky
Scaling of Chaos in Nonlinear Disordered Lattices
Chaos 24, 024401 (2014)

Mario Mulansky
Simulating DNLS models
arXiv:1304.1608 [physics.comp-ph] (submitted to Journal of Computational Physics)

Mario Mulansky and Arkady Pikovsky
Scaling of Energy Spreading in Strongly Nonlinear Lattices
New J. Phys. 15 053015 (2013) (Open Access)

Mario Mulansky
Chaotic Diffusion in Nonlinear Hamiltonian Lattices
PhD Thesis (2012)

Mario Mulansky and Arkady Pikovsky
Scaling properties of energy spreading in nonlinear Hamiltonian two-dimensional lattices
Physical Review E 86, 056214 (2012)

Mario Mulansky and Arkady Pikovsky
Re-localization due to finite response times in a nonlinear Anderson chain
European Journal of Physics B, Volume 85, Issue 3 (2012)

Mario Mulansky
Spreading in two-dimensional disordered nonlinear lattices
HPC-Europa2 Research Highlights 2011

Mario Mulansky and Karsten Ahnert
Generic Programming applied to Numerical Problems
AIP Conf. Proc. 1389 (ICNAAM 2011), pp. 1582-1585 (2011)

Karsten Ahnert and Mario Mulansky
odeint - Solving Ordinary Differential Equations in C++
AIP Conf. Proc. 1389 (ICNAAM 2011), pp. 1586-1589 (2011)

Mario Mulansky, Karsten Ahnert, Arkady Pikovsky and Dima Shepelyansky
Strong and weak chaos in weakly nonintegrable many-body Hamiltonian systems
Journal of Stat Physics Volume 145, Issue 5 (2011), Page 1256-1274

Mario Mulansky, Karsten Ahnert, Arkady Pikovsky
Scaling of energy spreading in strongly nonlinear disordered lattices
Phys. Rev, E 83,026205 (2011)

Mario Mulansky, Arkady Pikovsky
Spreading in disordered lattices with different nonlinearities 
Europhys. Lett. 90, 1 (2010)

Mario Mulansky, Karsten Ahnert, Arkady Pikovsky, Dima L. Shepelyansky
Dynamical Thermalization of Disordered Nonlinear Lattices
Phys. Rev. E 80, 056212 (2009)

Mario Mulansky
Localization Properties of Nonlinear Disordered Lattices
Diploma Thesis (2009)