115 citations · 454 across the 23 of their papers we have counts for
24 papers
Ornstein-Uhlenbeck Process Driven by Multiple Dichotomous Noises
Silvio Kalaj, Dongho Lee, Enzo Marinari +3
We study a generalized Ornstein-Uhlenbeck process driven by a superposition of independent dichotomous noises with arbitrary fixed amplitudes and switching rates. Unlike the cl…
Dreaming improves memorization in a Hopfield model with bounded synaptic strength
Enzo Marinari, Saverio Rossi, Francesco Zamponi
The Hopfield model provides a paradigmatic framework for associative memory. Its classical implementation, based on the Hebbian learning rule, suffers from catastrophic forgetting:…
Inferring Concepts from Noisy Examples in Hopfield-like Neural Networks
Marco Benedetti, Giulia Fischetti, Enzo Marinari +2
We study a variant of the pseudo-inverse learning rule for Hopfield-like Neural Networks, which allows the network to infer archetypal concepts on the basis of a limited number of…
Paradoxical increase of capacity due to spurious overlaps in attractor networks
Marco Benedetti, Nicolas Brunel, Enzo Marinari +1
In Hopfield-type associative memory models, memories are stored in the connectivity matrix and can be retrieved subsequently thanks to the collective dynamics of the network. In th…
One-dimensional lattice random walks in a Gaussian random potential
Silvio Kalaj, Enzo Marinari, Gleb Oshanin +1
We study random walks evolving in continuous time on a one-dimensional lattice where each site hosts a quenched random potential . The potentials on different sites are in…
Discrete-space and -time analogue of a super-diffusive fractional Brownian motion
Enzo Marinari, Gleb Oshanin
We discuss how to construct reliably well "a lattice and an integer time" version of a super-diffusive continuous-space and -time fractional Brownian motion (fBm) -- an experimenta…