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 architectures. Recently, both supervised and unsupervised learnings were obtained in photonic neurons by means of spatial-soliton-...
| Main Authors: | Alessandro Bile, Hamed Tari, Eugenio Fazio |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/11/5585 |
Similar Items
-
Photorefraction Simulates Well the Plasticity of Neural Synaptic Connections
by: Alessandro Bile, et al.
Published: (2024-04-01) -
The Effects of Reading Activity on Episodic Memory in Elderly
by: Ummu Ma’rifatul Afifah, et al.
Published: (2021-02-01) -
Solitonic Neural Network: A novel approach of Photonic Artificial Intelligence based on photorefractive solitonic waveguides
by: Bile Alessandro, et al.
Published: (2023-01-01) -
Episodic and Semantic Memory Contribute to Familiar and Novel Episodic Future Thinking
by: Tong Wang, et al.
Published: (2016-11-01) -
Semantic relatedness proactively benefits learning, memory, and interdependence across episodes
by: Kelly A Bennion, et al.
Published: (2024-12-01)