20 citations · 42 across the 9 of their papers we have counts for
5 papers · 1 filter
Experimental reservoir computing with diffractively coupled VCSELs
Moritz Pflüger, Daniel Brunner, Tobias Heuser +3
We present experiments on reservoir computing (RC) using a network of vertical-cavity surface-emitting lasers (VCSELs) that we diffractively couple via an external cavity. Our opti…
A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity
Ria Talukder, Anas Skalli, Xavier Porte +2
Spiking neural networks are neuromorphic systems that emulate certain aspects of biological neurons, offering potential advantages in energy efficiency and speed by for example lev…
Annealing-inspired training of an optical neural network with ternary weights
Anas Skalli, Mirko Goldmann, Nasibeh Haghighi +3
Artificial neural networks (ANNs) represent a fundamentally connectionnist and distributed approach to computing, and as such they differ from classical computers that utilize the…
Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing
Anas Skalli, Xavier Porte, Nasibeh Haghighi +3
Artificial neural networks have become a staple computing technique in many fields. Yet, they present fundamental differences with classical computing hardware in the way they proc…
Photonic neuromorphic computing using vertical cavity semiconductor lasers
Anas Skalli, Joshua Robertson, Dafydd Owen-Newns +5
Photonic realizations of neural network computing hardware are a promising approach to enable future scalability of neuromorphic computing. In this review we provide an overview on…