3.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ParmaIT415 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Milano BicoccaIT88 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FirenzeIT84 papers
- Istituto Nazionale di Fisica NucleareIT68 papers
- Sapienza University of RomeIT61 papers
- Centre National de la Recherche ScientifiqueFR52 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT50 papers
- University of PisaIT50 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PisaIT49 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT48 papers
- University of FlorenceIT44 papers
- Max Planck Institute for Gravitational PhysicsDE42 papers
15 papers · 1 filter
Time-series thresholding and the definition of avalanche size
Pablo Villegas, Serena di Santo, Raffaella Burioni +1
Avalanches whose sizes and durations are distributed as power laws appear in many contexts. Here, we show that there is a hidden peril in thresholding continuous times series --eit…
Jensen's force and the statistical mechanics of cortical asynchronous states
Victor Buendía, Pablo Villegas, Serena di Santo +3
The cortex exhibits self-sustained highly-irregular activity even under resting conditions, whose origin and function need to be fully understood. It is believed that this can be d…
Non-normality, reactivity, and intrinsic stochasticity in neural dynamics: a non-equilibrium potential approach
Serena di Santo, Pablo Villegas, Raffaella Burioni +1
Intrinsic stochasticity can induce highly non-trivial effects on dynamical systems, including stochastic and coherence resonance, noise induced bistability, noise-induced oscillati…
Synchronization and long-time memory in neural networks with inhibitory hubs and synaptic plasticity
Elena Bertolotti, Raffaella Burioni, Matteo di Volo +1
We investigate the dynamical role of inhibitory and highly connected nodes (hub) in synchronization and input processing of leaky-integrate-and-fire neural networks with short term…
A simple unified view of branching process statistics: random walks in balanced logarithmic potentials
Serena di Santo, Pablo Villegas, Rafaella Burioni +1
We revisit the problem of deriving the mean-field values of avalanche critical exponents in systems with absorbing states. These are well-known to coincide with those of an un-bias…
Chaos and correlated avalanches in excitatory neural networks with synaptic plasticity
Fabrizio Pittorino, Miguel Ibáñez-Berganza, Matteo di Volo +2
A collective chaotic phase with power law scaling of activity events is observed in a disordered mean field network of purely excitatory leaky integrate-and-fire neurons with short…
Neural networks with excitatory and inhibitory components: direct and inverse problems by a mean-field approach
M. di Volo, R. Burioni, M. Casartelli +2
We study the dynamics of networks with inhibitory and excitatory leaky-integrate-and-fire neurons with short-term synaptic plasticity in the presence of depressive and facilitating…
Heterogeneous Mean Field for neural networks with short term plasticity
Matteo di Volo, Raffaella Burioni, Mario Casartelli +2
We report about the main dynamical features of a model of leaky-integrate-and fire excitatory neurons with short term plasticity defined on random massive networks. We investigate…
A microscopic mechanism for self-organized quasi periodicity in random networks of non linear oscillators
Raffaella Burioni, Serena Di Santo, Matteo di Volo +1
Self-organized quasi periodicity is one of the most puzzling dynamical phases observed in systems of non linear coupled oscillators. The single dynamical units are not locked to th…
Rare events and scaling properties in field-induced anomalous dynamics
R. Burioni, G. Gradenigo, A. Sarracino +2
We show that, in a broad class of continuous time random walks (CTRW), a small external field can turn diffusion from standard into anomalous. We illustrate our findings in a CTRW…
Analogue neural networks on correlated random graphs
Elena Agliari, Lorenzo Asti, Adriano Barra +2
We consider a generalization of the Hopfield model, where the entries of patterns are Gaussian and diluted. We focus on the high-storage regime and we investigate analytically the…
Organization and evolution of synthetic idiotypic networks
Elena Agliari, Lorenzo Asti, Adriano Barra +1
We introduce a class of weighted graphs whose properties are meant to mimic the topological features of idiotypic networks, namely the interaction networks involving the B-core of…
Multitasking associative networks
Elena Agliari, Adriano Barra, Andrea Galluzzi +2
We introduce a bipartite, diluted and frustrated, network as a sparse restricted Boltzman machine and we show its thermodynamical equivalence to an associative working memory able…
A statistical mechanics approach to autopoietic immune networks
Adriano Barra, Elena Agliari
The aim of this work is to try to bridge over theoretical immunology and disordered statistical mechanics. Our long term hope is to contribute to the development of a quantitative…
Electrical networks on -simplex fractals
R. Burioni, D. Cassi, F. M. Neri
The decimation map for a network of admittances on an -simplex lattice fractal is studied. The asymptotic behaviour of for large-size fractals is exa…