61 citations · 96 across the 8 of their papers we have counts for
10 papers
Fading Memory and Nonlinear Dynamics in a Microring Resonator Network and their Use in Computation
Alessandro Foradori, Alessio Lugnan, Lorenzo Pavesi +1
Silicon microring resonators are promising components for photonic reservoir computing because their nonlinear optical response can transform signals and retain information about r…
Self-Pulsing Microring Resonator Networks for Bandwidth-Efficient Event Detection in an Optical Fiber Sensor
Alessio Lugnan, Yonas Seifu Muanenda, Ilya Auslender +4
The native processing of time-dependent signals from optical sensors by integrated photonic circuits can potentially bring significant advantages in terms of energy consumption, la…
Memory in Integrated Photonic Neural Networks: From Physical Mechanisms to Neuromorphic Architectures
Alessandro Foradori, Ilya Auslender, Stefano Biasi +4
The rapid scaling of artificial neural networks has exposed fundamental limitations of conventional von Neumann computing architectures. In these systems, the physical separation b…
Experimental Investigation of Time Series Classification using a Self-Pulsing Microring Resonator Network
Alessandro Foradori, Alessio Lugnan, Lorenzo Pavesi +1
Photonic neuromorphic computing offers compelling advantages in power efficiency and parallel processing, but often falls short in realizing scalable nonlinearity and long-term mem…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Reservoir computing with all-optical non-fading memory in a self-pulsing microresonator network
Alessio Lugnan, Stefano Biasi, Alessandro Foradori +2
Photonic neuromorphic computing may offer promising applications for a broad range of photonic sensors, including optical fiber sensors, to enhance their functionality while avoidi…
The Taiji microresonator as an unidirectional spiking neuron
Stefano Biasi, Alessandro Foradori, Riccardo Franchi +3
While biological neurons ensure unidirectional signalling, scalable integrated photonic neurons, such as silicon microresonators, respond the same way regardless of excitation dire…
Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff-Plückelmann +4
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn,…
Photonic neural networks based on integrated silicon microresonators
Stefano Biasi, Giovanni Donati, Alessio Lugnan +3
The recent progress of artificial intelligence (AI) has boosted the computational possibilities in fields where standard computers are not able to perform. The AI paradigm is to em…
Training a spiking neural network on an event-based label-free flow cytometry dataset
Muhammed Gouda, Steven Abreu, Alessio Lugnan +1
Imaging flow cytometry systems aim to analyze a huge number of cells or micro-particles based on their physical characteristics. The vast majority of current systems acquire a larg…