24 citations · 24 across the 2 of their papers we have counts for
3 papers
cond-mat.dis-nn2024
Demolition and Reinforcement of Memories in Spin-Glass-like Neural Networks
Enrico Ventura
Statistical mechanics has made significant contributions to the study of biological neural systems by modeling them as recurrent networks of interconnected units with adjustable in…
cond-mat.dis-nn2023
Memory Storage and Retrieval in Sparsely Connected Balanced Networks
Enrico Ventura
Ever since the last two decades of the past century pioneering studies in the field of statistical physics had focused their efforts on developing models of neural networks that co…
cond-mat.dis-nn2022★ 24 cited
Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks
Marco Benedetti, Enrico Ventura, Enzo Marinari +2
The Hebbian unlearning algorithm, i.e. an unsupervised local procedure used to improve the retrieval properties in Hopfield-like neural networks, is numerically compared to a super…