34 citations · 148 across the 14 of their papers we have counts for
4 papers · 1 filter
Hopf-type neurons increase input-sensitivity by forming forcing-coupled ensembles
Florian Gomez, Tom Lorimer, Ruedi Stoop
Astounding properties of biological sensors can often be mapped onto a dynamical system in the vicinity a bifurcation. For mammalian hearing, a Hopf bifurcation description has bee…
Boosting Bayesian Parameter Inference of Nonlinear Stochastic Differential Equation Models by Hamiltonian Scale Separation
Carlo Albert, Simone Ulzega, Ruedi Stoop
Parameter inference is a fundamental problem in data-driven modeling. Given observed data that is believed to be a realization of some parameterized model, the aim is to find param…
Two universal physical principles shape the power-law statistics of real-world networks
Tom Lorimer, Florian Gomez, Ruedi Stoop
The study of complex networks has pursued an understanding of macroscopic behavior by focusing on power-laws in microscopic observables. Here, we uncover two universal fundamental…
Phase synchronization of coupled bursting neurons and the generalized Kuramoto model
Fabiano A. S. Ferrari, Ricardo L. Viana, Sérgio R. Lopes +1
Bursting neurons fire rapid sequences of action potential spikes followed by a quiescent period. The basic dynamical mechanism of bursting is the slow currents that modulate a fast…