7 citations · 17 across the 5 of their papers we have counts for
5 papers
Nonlinear Distortion Equalization in Multi-Span Optical Links Via a Feed-Forward Photonic Neural Network
Emiliano Staffoli, Elisabetta Ferri, Stefano Gretter +1
Linear and nonlinear distortions in optical communication signals are equalized using an integrated feed-forward Photonic Neural Network (PNN). The PNN is based on a linear stage m…
A Silicon Photonic Neural Network for Chromatic Dispersion Compensation in 20 Gbps PAM4 Signal at 125 km and Its Scalability up to 100 Gbps
Emiliano Staffoli, Gianpietro Maddinelli, Lorenzo Pavesi
A feed-forward photonic neural network (PNN) is tested for chromatic dispersion compensation in Intensity Modulation/Direct Detection optical links. The PNN is based on a sequence…
Meta-plasticity and memory in multi-level recurrent feed-forward networks
Gianmarco Zanardi, Paolo Bettotti, Jules Morand +2
Network systems can exhibit memory effects in which the interactions between different pairs of nodes adapt in time, leading to the emergence of preferred connections, patterns, an…
Decoding Neuronal Networks: A Reservoir Computing Approach for Predicting Connectivity and Functionality
Ilya Auslender, Giorgio Letti, Yasaman Heydari +2
In this study, we address the challenge of analyzing electrophysiological measurements in neuronal networks. Our computational model, based on the Reservoir Computing Network (RCN)…
Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis
Ilya Auslender, Lorenzo Pavesi
In this paper we present a computational model which decodes the spatio-temporal data from electro-physiological measurements of neuronal networks and reconstructs the network stru…