3 papers
cond-mat.dis-nn2026
Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines
Giovanni di Sarra, Yasser Roudi
The great success of neural networks primarily arises from the presence of the large number of weight parameters combined with nonlinearities in the input-output relationship of si…
q-bio.QM2025
The role of oscillations in grid cells' toroidal topology
Giovanni di Sarra, Siddharth Jha, Yasser Roudi
Persistent homology applied to the activity of grid cells in the Medial Entorhinal Cortex suggests that this activity lies on a toroidal manifold. By analyzing real data and a simp…
cond-mat.dis-nn2025
The unbearable lightness of Restricted Boltzmann Machines: Theoretical Insights and Biological Applications
Giovanni di Sarra, Barbara Bravi, Yasser Roudi
Restricted Boltzmann Machines are simple yet powerful neural networks. They can be used for learning structure in data, and are used as a building block of more complex neural arch…