Episodic memory and information recognition using solitonic neural networks based on photorefractive plasticity
Neuromorphic models are proving capable of performing complex machine learning tasks,
overcoming the structural limitations imposed by software algorithms and electronic …
overcoming the structural limitations imposed by software algorithms and electronic …
Novel model based on artificial neural networks to predict short-term temperature evolution in museum environment
The environmental microclimatic characteristics are often subject to fluctuations of
considerable importance, which can cause irreparable damage to art works. We explored …
considerable importance, which can cause irreparable damage to art works. We explored …
Acousto‐Plasmo‐Magnonics: Coupling Spin Waves with Hybridized Phonon‐Plasmon Waves in a 2D Artificial Magnonic Crystal Deposited on a Plasmonic Material
Coupling between spin waves (SWs) and other waves in nanostructured media has
emerged as an important topic of research because of the rich physics and the potential for …
emerged as an important topic of research because of the rich physics and the potential for …
Stigmergic electronic gates and networks
Stigmergy is a communication method based on changing the surrounding environment
according to reference feedbacks. It is typical within animal colonies that are able to process …
according to reference feedbacks. It is typical within animal colonies that are able to process …
Supervised and unsupervised learning using a fully-plastic all-optical unit of artificial intelligence based on solitonic waveguides
The software implementations of neuronal systems have shown great effectiveness, even if
the natural hardware separation between the processing and memory areas in computers …
the natural hardware separation between the processing and memory areas in computers …
Sigmoid type neuromorphic activation function based on saturable absorption behavior of graphene/PMMA composite for intensity modulation of surface plasmon …
For an optical technology to be feasible as a substitution of electronics one for neuromorphic
applications, it is required the waveguides in which are capable of confining and directing …
applications, it is required the waveguides in which are capable of confining and directing …
[LIBRO][B] Solitonic Neural Networks: An Innovative Photonic Neural Network Based on Solitonic Interconnections
A Bile - 2023 - books.google.com
This book delves into optics and photonic materials, describing the development of an
intelligent all-optical system capable of replicating the functional building blocks of the …
intelligent all-optical system capable of replicating the functional building blocks of the …
[HTML][HTML] Tripartite phonon–magnon–plasmon coupling, parametric amplification, and formation of a phonon–magnon–plasmon polariton in a two-dimensional periodic …
Coupling between spin waves (SWs) and other types of waves in nanostructured magnetic
media has attracted increased attention in recent years because of the rich physics and the …
media has attracted increased attention in recent years because of the rich physics and the …
Solitonic Neural Network Acting as an Episodic Memory
A Bile - Solitonic Neural Networks: An Innovative Photonic …, 2023 - Springer
This concluding chapter introduces complex solitonic neural networks. Starting from the
results obtained for the single X-Junction neuron, the connection between multiple units is …
results obtained for the single X-Junction neuron, the connection between multiple units is …
Solitonic Neural Networks
A Bile - Springer
This book collects material from my scientific research, conducted during my 3-year (2019–
2022) doctoral program at the Department of Basic and Applied Sciences for Engineering of …
2022) doctoral program at the Department of Basic and Applied Sciences for Engineering of …