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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…
physics.app-ph2025
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…
physics.comp-ph2025
Robustness of complexity estimation in event-driven signals against accuracy of event detection method
Marco Cafiso, Paolo Paradisi
Complexity has gained recent attention in machine learning for its ability to extract synthetic information from large datasets. Complex dynamical systems are characterized by temp…