Search research articles
Contact Us
Filters
Showing results (1-10 of 7) with videos related to
Page
of 1
Sort By:
Chaos (Woodbury, N.Y.)
|
July 3, 2014
Scaling of chaos in strongly nonlinear lattices
Mario Mulansky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 11, 2012
Scaling properties of energy spreading in nonlinear Hamiltonian two-dimensional lattices
Mario Mulansky, Arkady Pikovsky
Journal of Neurophysiology
|
March 7, 2015
SPIKY: a graphical user interface for monitoring spike train synchrony
Thomas Kreuz, Mario Mulansky, Nebojsa Bozanic
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 17, 2011
Scaling of energy spreading in strongly nonlinear disordered lattices
Mario Mulansky, Karsten Ahnert, Arkady Pikovsky
Journal of Neuroscience Methods
|
September 15, 2018
Using spike train distances to identify the most discriminative neuronal subpopulation
Eero Satuvuori, Mario Mulansky, Andreas Daffertshofer, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
April 7, 2010
Dynamical thermalization of disordered nonlinear lattices
Mario Mulansky, Karsten Ahnert, Arkady Pikovsky, et al.
Journal of Neuroscience Methods
|
June 7, 2017
Measures of spike train synchrony for data with multiple time scales
Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 7) with videos related to
Sort By:
Page
of 1
Chaos (Woodbury, N.Y.)
|
July 3, 2014
Scaling of chaos in strongly nonlinear lattices
Mario Mulansky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 11, 2012
Scaling properties of energy spreading in nonlinear Hamiltonian two-dimensional lattices
Mario Mulansky, Arkady Pikovsky
Journal of Neurophysiology
|
March 7, 2015
SPIKY: a graphical user interface for monitoring spike train synchrony
Thomas Kreuz, Mario Mulansky, Nebojsa Bozanic
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 17, 2011
Scaling of energy spreading in strongly nonlinear disordered lattices
Mario Mulansky, Karsten Ahnert, Arkady Pikovsky
Journal of Neuroscience Methods
|
September 15, 2018
Using spike train distances to identify the most discriminative neuronal subpopulation
Eero Satuvuori, Mario Mulansky, Andreas Daffertshofer, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
April 7, 2010
Dynamical thermalization of disordered nonlinear lattices
Mario Mulansky, Karsten Ahnert, Arkady Pikovsky, et al.
Journal of Neuroscience Methods
|
June 7, 2017
Measures of spike train synchrony for data with multiple time scales
Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic, et al.
Page
of 1