Stefano Cardanobile

发表

Mean-field analysis of orientation selectivity in inhibition-dominated networks of spiking neurons

Stefan Rotter, Stefano Cardanobile, Sadra Sadeh, 2014, SpringerPlus.

Investigation of Input–Output Gain in Dynamical Systems for Neural Information Processing

H. Neumann, Michael A. Cohen, Stefano Cardanobile, 2009 .

Parabolic systems with coupled boundary conditions

Stefano Cardanobile, Delio Mugnolo, 2008, Journal of Differential Equations.

Interacting Poisson processes and applications to neuronal modeling

S. Rotter, Stefano Cardanobile, 2009 .

Analysis of a FitzHugh–Nagumo–Rall model of a neuronal network

Stefano Cardanobile, Delio Mugnolo, 2007 .

Diffusion Systems and Heat Equations on Networks

Stefano Cardanobile, 2008, 0807.2362.

Emergent Properties of Interacting Populations of Spiking Neurons

Stefan Rotter, Stefano Cardanobile, S. Rotter, 2011, Front. Comput. Neurosci..

Nonequilibrium dynamics of stochastic point processes with refractoriness.

Moritz Helias, Stefan Rotter, Moritz Deger, 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

The Poisson process with dead time captures important statistical features of neural activity

Moritz Helias, Stefan Rotter, Moritz Deger, 2009, BMC Neuroscience.

The Role of Inhibition in Generating and Controlling Parkinson’s Disease Oscillations in the Basal Ganglia

Stefan Rotter, Ad Aertsen, Stefano Cardanobile, 2011, Front. Syst. Neurosci..

The L2-strong maximum principle on arbitrary countable networks

Stefano Cardanobile, 2009, 0902.0251.

THE STRONG MAXIMUM PRINCIPLE ON INFINITE NETWORKS

Stefano Cardanobile, 2009 .

Well-posedness and symmetries of strongly coupled network equations

Stefano Cardanobile, Delio Mugnolo, R. Nittka, 2007, 0709.2080.

QUALITATIVE PROPERTIES OF COUPLED PARABOLIC SYSTEMS OF EVOLUTION EQUATIONS

Stefano Cardanobile, Delio Mugnolo, 2007, 0708.1428.

How Structure Determines Correlations in Neuronal Networks

Stefan Rotter, Benjamin Staude, Volker Pernice, 2011, PLoS Comput. Biol..

The relevance of network micro-structure for neural dynamics

Stefan Rotter, Moritz Deger, Volker Pernice, 2013, Front. Comput. Neurosci..

Inferring General Relations between Network Characteristics from Specific Network Ensembles

Stefan Rotter, Moritz Deger, Volker Pernice, 2011, PloS one.

Predicting the Resonance Frequencies in Geometric Nonlinear Actuated MEMS

Stefano Cardanobile, J. Mehner, S. Kehrberg, 2018, Journal of Microelectromechanical Systems.

Incorporating geometrical nonlinearities in reduced order models for MEMS gyroscopes

Martin Putnik, Stefano Cardanobile, Steven Kehrberg, 2017, 2017 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL).

Stiffening of higher modes in doubly-clamped beam resonators depending on ground state amplitude

Jan Mehner, Stefano Cardanobile, Martin Putnik, 2016, 2016 17th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE).

Simulation methods for generating reduced order models of MEMS sensors with geometric nonlinear drive motion

Martin Putnik, Stefano Cardanobile, Steven Kehrberg, 2018, 2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL).

Multiplicatively interacting point processes and applications to neural modeling

S. Rotter, Stefano Cardanobile, 2009, Journal of Computational Neuroscience.

Simulation of Stochastic Point Processes with Defined Properties

Stefan Rotter, Stefano Cardanobile, S. Rotter, 2010 .