34 citations · 55 across the 6 of their papers we have counts for
7 papers
Contagion Effects of Heterogeneous Cyber Risk on Network Security and Systemic Stability
Elisa Botteghi, Martino S. Centonze, Davide Pastorello +1
Understanding how heterogeneous cyber risk shapes security investments and contagion is a key challenge for the resilience of interconnected digital systems. Existing studies on cy…
On the supra-linear storage in dense networks of grid and place cells
Adriano Barra, Martino S. Centonze, Michela Marra Solazzo +1
Place-cell networks, typically forced to pairwise synaptic interactions, are widely studied as models of cognitive maps: such models, however, share a severely limited storage capa…
Networks of neural networks: more is different
Elena Agliari, Andrea Alessandrelli, Adriano Barra +2
The common thread behind the recent Nobel Prize in Physics to John Hopfield and those conferred to Giorgio Parisi in 2021 and Philip Anderson in 1977 is disorder. Quoting Philip An…
Generalized hetero-associative neural networks
Elena Agliari, Andrea Alessandrelli, Adriano Barra +2
Auto-associative neural networks (e.g., the Hopfield model implementing the standard Hebbian prescription) serve as a foundational framework for pattern recognition and associative…
Guerra interpolation for place cells
Martino Salomone Centonze, Alessandro Treves, Elena Agliari +1
Pyramidal cells that emit spikes when the animal is at specific locations of the environment are known as "place cells": these neurons are thought to provide an internal representa…
Interpolating between boolean and extremely high noisy patterns through Minimal Dense Associative Memories
Francesco Alemanno, Martino Centonze, Alberto Fachechi
Recently, Hopfield and Krotov introduced the concept of {\em dense associative memories} [DAM] (close to spin-glasses with -wise interactions in a disordered statistical mechani…
Neural networks with redundant representation: detecting the undetectable
Elena Agliari, Francesco Alemanno, Adriano Barra +2
We consider a three-layer Sejnowski machine and show that features learnt via contrastive divergence have a dual representation as patterns in a dense associative memory of order P…