10 citations · 15 across the 3 of their papers we have counts for
3 papers
Task learning through stimulation-induced plasticity in neural networks
Francesco Borra, Simona Cocco, Rémi Monasson
Synaptic plasticity dynamically shapes the connectivity of neural systems and is key to learning processes in the brain. To what extent the mechanisms of plasticity can be exploite…
Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps
Francesco Borra, Marco Baldovin
Machine learning techniques not only offer efficient tools for modelling dynamical systems from data, but can also be employed as frontline investigative instruments for the underl…
Generalization from correlated sets of patterns in the perceptron
Francesco Borra, Marco Cosentino Lagomarsino, Pietro Rotondo +1
Generalization is a central aspect of learning theory. Here, we propose a framework that explores an auxiliary task-dependent notion of generalization, and attempts to quantitative…