49 citations · 51 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Recurrent neural networks that generalize from examples and optimize by dreaming
Miriam Aquaro, Francesco Alemanno, Ido Kanter +3
The gap between the huge volumes of data needed to train artificial neural networks and the relatively small amount of data needed by their biological counterparts is a central puz…
Supervised Hebbian Learning
Francesco Alemanno, Miriam Aquaro, Ido Kanter +2
In neural network's Literature, Hebbian learning traditionally refers to the procedure by which the Hopfield model and its generalizations store archetypes (i.e., definite patterns…