activity
20112025
most citedMultitasking associative networks

129 citations · 318 across the 16 of their papers we have counts for

collaborators

16 papers

q-bio.NC2025★ 1 cited

Multiscale dynamical characterization of cortical brain states: from synchrony to asynchrony

Maria V. Sanchez-Vives, Arnau Manasanch, Andrea Pigorini +17

The cerebral cortex spontaneously displays different patterns of activity that evolve over time according to the brain state. Sleep, wakefulness, resting states, and attention are…

cond-mat.dis-nn2025

Beyond catastrophic forgetting in associative networks with self-interactions

Gianni V. Vinci, Andrea Galluzzi, Maurizio Mattia

Spin-glass models of associative memories are a cornerstone between statistical physics and theoretical neuroscience. In these networks, stochastic spin-like units interact through…

q-bio.NC2017★ 16 cited

Equivalence between synaptic current dynamics and heterogeneous propagation delays in spiking neuron networks

Matteo Biggio, Marco Storace, Maurizio Mattia

Message passing between components of a distributed physical system is non-instantaneous and contributes to determine the time scales of the emerging collective dynamics like an ef…

physics.soc-ph2015

Insights in Economical Complexity in Spain: the hidden boost of migrants in international tradings

Elena Agliari, Adriano Barra, Andrea Galluzzi +2

We consider extensive data on Spanish international trades and population composition and, through statistical-mechanics and graph-theory driven analysis, we unveil that the social…

physics.soc-ph2015★ 15 cited

Emerging heterogeneities in Italian customs and comparison with nearby countries

Elena Agliari, Adriano Barra, Andrea Galluzzi +3

In this work we apply techniques and modus operandi typical of Statistical Mechanics to a large dataset about key social quantifiers and compare the resulting behaviours of five Eu…

cond-mat.dis-nn2014★ 10 cited

Topological properties of hierarchical networks

Elena Agliari, Adriano Barra, Andrea Galluzzi +3

Hierarchical networks are attracting a renewal interest for modelling the organization of a number of biological systems and for tackling the complexity of statistical mechanical m…