3 papers
nlin.AO2026
Temporal Complexity and Self-Organization in an Exponential Dense Associative Memory Model
Marco Cafiso, Paolo Paradisi
Dense Associative Memory (DAM) models generalize the classical Hopfield model by incorporating n-body or exponential interactions that greatly enhance storage capacity. While the c…
physics.app-ph2026
Criticality of a Stochastic Dense Associative Memory Model with Exponential Interaction Function
Marco Cafiso, Paolo Paradisi
The Hopfield network (HN) is a classical model of associative memory with stored patterns encoded as minima of an energy function shaped by a Hebbian learning rule. Dense Associati…
q-bio.NC2025
Complexity of Activity Patterns in a Bio-Inspired Hopfield-Type Network in Different Topologies
Marco Cafiso, Paolo Paradisi
Neural network models capable of storing memory have been extensively studied in computer science and computational neuroscience. The Hopfield network is a prototypical example of…