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Stefano Cardanobile
Stefano Cardanobile
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
How structure determines correlations in neuronal networks
V Pernice, B Staude, S Cardanobile, S Rotter
PLoS computational biology 7 (5), e1002059, 2011
2892011
The role of inhibition in generating and controlling Parkinson’s disease oscillations in the basal ganglia
A Kumar, S Cardanobile, S Rotter, A Aertsen
Frontiers in Systems Neuroscience 5, 2011
1332011
Recurrent interactions in spiking networks with arbitrary topology
V Pernice, B Staude, S Cardanobile, S Rotter
Physical review E 85 (3), 031916, 2012
772012
Parabolic systems with coupled boundary conditions
S Cardanobile, D Mugnolo
Journal of Differential Equations 247 (4), 1229-1248, 2009
40*2009
The relevance of network micro-structure for neural dynamics
V Pernice, M Deger, S Cardanobile, S Rotter
Frontiers in computational neuroscience 7, 72, 2013
342013
Nonequilibrium dynamics of stochastic point processes with refractoriness
M Deger, M Helias, S Cardanobile, FM Atay, S Rotter
Physical Review E 82 (2), 021129, 2010
31*2010
Analysis of a FitzHugh–Nagumo–Rall model of a neuronal network
S Cardanobile, D Mugnolo
Mathematical methods in the applied sciences 30 (18), 2281-2308, 2007
302007
Multiplicatively interacting point processes and applications to neural modeling
S Cardanobile, S Rotter
Journal of computational neuroscience 28 (2), 267-284, 2010
292010
Well-posedness and symmetries of strongly coupled network equations
S Cardanobile, D Mugnolo, R Nittka
Journal of Physics A: Mathematical and Theoretical 41 (5), 055102, 2008
232008
Mean-field analysis of orientation selectivity in inhibition-dominated networks of spiking neurons
S Sadeh, S Cardanobile, S Rotter
SpringerPlus 3 (1), 1-35, 2014
152014
Simulation methods for generating reduced order models of MEMS sensors with geometric nonlinear drive motion
M Putnik, S Cardanobile, M Sniegucki, S Kehrberg, M Kuehnel, ...
2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL …, 2018
102018
Simulation and modelling of the drive mode nonlinearity in MEMS-gyroscopes
M Putnik, S Cardanobile, C Nagel, P Degenfeld-Schonburg, J Mehner
Procedia engineering 168, 950-953, 2016
102016
Incorporating geometrical nonlinearities in reduced order models for MEMS gyroscopes
M Putnik, M Sniegucki, S Cardanobile, S Kehrberg, M Kuehnel, C Nagel, ...
2017 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL …, 2017
82017
Stiffening of higher modes in doubly-clamped beam resonators depending on ground state amplitude
M Putnik, S Cardanobile, C Höppner, J Mehner
2016 17th International Conference on Thermal, Mechanical and Multi-Physics …, 2016
82016
Emergent properties of interacting populations of spiking neurons
S Cardanobile, S Rotter
Frontiers in computational neuroscience 5, 59, 2011
82011
Diffusion systems and heat equations on networks
S Cardanobile
arXiv preprint arXiv:0807.2362, 2008
82008
Inferring general relations between network characteristics from specific network ensembles
S Cardanobile, V Pernice, M Deger, S Rotter
PLoS One 7 (6), e37911, 2012
72012
Predicting the resonance frequencies in geometric nonlinear actuated MEMS
M Putnik, M Sniegucki, S Cardanobile, M Kühnel, S Kehrberg, JE Mehner
Journal of Microelectromechanical Systems 27 (6), 954-962, 2018
52018
The L2-strong maximum principle on arbitrary countable networks
S Cardanobile
Linear algebra and its applications 435 (6), 1315-1325, 2011
52011
Toward a gauge theory for evolution equations on vector-valued spaces
S Cardanobile, D Mugnolo
Journal of mathematical physics 50 (10), 103520, 2009
52009
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