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Profil bibliographique

Matteo Mirigliano

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

21Publications signalées
327Citations signalées
0Affiliations récentes

Les domaines associés

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeuroscience and Neural EngineeringNeural Networks and Reservoir ComputingNeural dynamics and brain function

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

A Heterogeneous General Model for Neuromorphic-Inspired Computation

Matteo Mirigliano

In recent years, both academia and industry have focused on the development of computational architectures inspired by the distributed, adaptive, and event-driven characteristics of biological neural systems, with the aim of reducing the computational cost associated with conventional training approaches [1]. However, …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

A Heterogeneous General Model for Neuromorphic-Inspired Computation

Matteo Mirigliano

In recent years, both academia and industry have focused on the development of computational architectures inspired by the distributed, adaptive, and event-driven characteristics of biological neural systems, with the aim of reducing the computational cost associated with conventional training approaches. However, a …

0 citations arXiv (Cornell University)
Accès ouvert 2026 article OpenAlex

A Heterogeneous General Model for Neuromorphic-Inspired Computation

Matteo Mirigliano

In recent years, both academia and industry have focused on the development of computational architectures inspired by the distributed, adaptive, and event-driven characteristics of biological neural systems, with the aim of reducing the computational cost associated with conventional training approaches. However, a …

0 citations Zenodo (CERN European Organization for Nuclear Research)
2025 conference-paper OpenAlex

Experimental study on the impact of air turbulence on OAM-based optical links employing local demultiplexing

M. Siano, Matteo Vismara, Matteo Mirigliano, B. Paroli et autres

Orbital Angular Momentum (OAM) beams offer high-dimensional multiplexing capabilities to increase channel capacity in free space optical communication (FSOC) systems. However, challenges to their full exploitation arise in long-distance and deep-space FSOC due to the acquired large beam size exceeding the linear …

it (code pays fourni par la source)

0 citations
2025 conference-paper OpenAlex

Enhancing free space optical communication with orbital angular momentum: a case study on multichannel multiplexing and signal reliability

Matteo Vismara, Matteo Mirigliano, M. Siano, B. Paroli et autres

Free Space Optical Communication (FSOC) is gaining attention as a reliable alternative to radio frequency (RF) systems, driven by the saturation of RF bands and advancements in optical technologies. FSOC offers higher bandwidth and secure, directional laser beams that are harder to …

us, it (code pays fourni par la source)

0 citations
2025 conference-abstract OpenAlex

Experimental and numerical study on alignment requirements for the generation of OAM light beams with holographic beam shaping and spiral phase plates

M. Siano, Matteo Vismara, Matteo Mirigliano, Luca Teruzzi et autres

Radiation carrying Orbital Angular Momentum (OAM) is widely used in free space optical communication systems to realize parallel communication channels onto the same optical link through high-dimensional OAM mode multiplexing. OAM beams are generated at the transmission stage via holographic laser beam …

it (code pays fourni par la source)

0 citations
Accès ouvert 2024 article OpenAlex

Efficiency and controllability of stochastic boolean function generation by a random network of non-linear nanoparticle junctions

Gianluca Martini, Elisa Tentori, Matteo Mirigliano, D. E. Galli et autres

Amid efforts to address energy consumption in modern computing systems, one promising approach takes advantage of random networks of non-linear nanoscale junctions formed by nanoparticles as substrates for neuromorphic computing. These networks exhibit emergent complexity and collective behaviors akin to biological neural …

it (code pays fourni par la source)

8 citations Frontiers in Physics
Accès ouvert 2022 article OpenAlex

Dynamical stochastic simulation of complex electrical behavior in neuromorphic networks of metallic nanojunctions

Francesco Mambretti, Matteo Mirigliano, Elisa Tentori, Nicolò Pedrani et autres

Nanostructured Au films fabricated by the assembling of nanoparticles produced in the gas phase have shown properties suitable for neuromorphic computing applications: they are characterized by a non-linear and non-local electrical behavior, featuring switches of the electric resistance whose activation is typically …

it (code pays fourni par la source)

8 citations Scientific Reports
Accès ouvert 2022 article OpenAlex

The Receptron: a device for the implementation of information processing systems based on complex nanostructured systems

Gianluca Martini, Matteo Mirigliano, B. Paroli, P. Milani

Abstract Unconventional Computing (UComp) identifies several data processing paradigms focused on exploiting emergent complexity and collective phenomena from various classes of physical substrates. Among UComp platforms, neuromorphic artificial systems aim at the reproduction of the human brain functions in terms of classification …

it (code pays fourni par la source)

29 citations Japanese Journal of Applied Physics
Accès ouvert 2022 conference-paper OpenAlex

Nanoparticles as building units for bio-inspired electronics –switching and sensing

Niko Carstens, Matteo Mirigliano, Thomas Strunskus, Franz Faupe et autres

In this work, gas phase synthesis of NPs is applied as it offers the benefit of a high purity, surfactant free deposition that is compatible with a broad range of substrates. At the example of three fundamentally different NP assemblies it is …

de, md, it (code pays fourni par la source)

1 citation
Accès ouvert 2021 article OpenAlex

A binary classifier based on a reconfigurable dense network of metallic nanojunctions

Matteo Mirigliano, B. Paroli, Gianluca Martini, Marco Fedrizzi et autres

Abstract Major efforts to reproduce the brain performances in terms of classification and pattern recognition have been focussed on the development of artificial neuromorphic systems based on top-down lithographic technologies typical of highly integrated components of digital computers. Unconventional computing has been …

it, sa (code pays fourni par la source)

30 citations Neuromorphic Computing and Engineering

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