10 citations · 14 across the 6 of their papers we have counts for
3 papers · 1 filter
Learning in Associative Networks through Pavlovian Dynamics
Daniele Lotito, Miriam Aquaro, Chiara Marullo
Hebbian learning theory is rooted in Pavlov's Classical Conditioning. While mathematical models of the former have been proposed and studied in the past decades, especially in spin…
Pavlov Learning Machines
Elena Agliari, Miriam Aquaro, Adriano Barra +2
As well known, Hebb's learning traces its origin in Pavlov's Classical Conditioning, however, while the former has been extensively modelled in the past decades (e.g., by Hopfield…
Non-linear PDEs approach to statistical mechanics of Dense Associative Memories
Elena Agliari, Alberto Fachechi, Chiara Marullo
Dense associative memories (DAM), are widespread models in artificial intelligence used for pattern recognition tasks; computationally, they have been proven to be robust against a…