Photorefraction Simulates Well the Plasticity of Neural Synaptic Connections.
all-optical systems
artificial intelligence
learning
neural networks
neuromorphic systems
neuroplasticity
photonic hardware
photorefractive solitons
Journal
Biomimetics (Basel, Switzerland)
ISSN: 2313-7673
Titre abrégé: Biomimetics (Basel)
Pays: Switzerland
ID NLM: 101719189
Informations de publication
Date de publication:
13 Apr 2024
13 Apr 2024
Historique:
received:
06
03
2024
revised:
09
04
2024
accepted:
11
04
2024
medline:
26
4
2024
pubmed:
26
4
2024
entrez:
26
4
2024
Statut:
epublish
Résumé
In recent years, the need for systems capable of achieving the dynamic learning and information storage efficiency of the biological brain has led to the emergence of neuromorphic research. In particular, neuromorphic optics was born with the idea of reproducing the functional and structural properties of the biological brain. In this context, solitonic neuromorphic research has demonstrated the ability to reproduce dynamic and plastic structures capable of learning and storing through conformational changes in the network. In this paper, we demonstrate that solitonic neural networks are capable of mimicking the functional behaviour of biological neural tissue, in terms of synaptic formation procedures and dynamic reinforcement.
Identifiants
pubmed: 38667243
pii: biomimetics9040231
doi: 10.3390/biomimetics9040231
pii:
doi:
Types de publication
Journal Article
Langues
eng