5 papers
Rosetta Stone of Neural Mass Models
Francesca Castaldo, Raul de Palma Aristides, Pau Clusella +2
Brain dynamics dominate every level of neural organization -- from single-neuron spiking to the macroscopic waves captured by functional magnetic resonance imaging (fMRI), magnetoe…
Symmetry breaking and high-dimensional chaos in sparse random networks of exact firing rate models
Pau Clusella
Exact firing rate models, also known as next-generation neural mass models (NG-NMMs), provide a rigorous description of the dynamics of neural populations. While in its simplest fo…
Low-dimensional model for adaptive networks of spiking neurons
Bastian Pietras, Pau Clusella, Ernest Montbrió
We investigate a large ensemble of Quadratic Integrate-and-Fire (QIF) neurons with heterogeneous input currents and adaptation variables. Our analysis reveals that for a specific c…
Emergent Spatiotemporal Dynamics in Large-Scale Brain Networks with Next Generation Neural Mass Models
Rosa Maria Delicado, Gemma Huguet, Pau Clusella
Understanding the dynamics of large-scale brain models remains a central challenge due to the inherent complexity of these systems. In this work, we explore the emergence of comple…
From chimeras to extensive chaos in networks of heterogeneous Kuramoto oscillator populations
Pol Floriach, Jordi Garcia-Ojalvo, Pau Clusella
Populations of coupled oscillators can exhibit a wide range of complex dynamical behavior, from complete synchronization to chimera and chaotic states. We can thus expect complex d…