Photorefraction Simulates Well the Plasticity of Neural Synaptic Connections

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 propert...

Full description

Saved in:
Bibliographic Details
Published in:Biomimetics (Basel, Switzerland) Switzerland), 2024-04, Vol.9 (4), p.231
Main Authors: Bile, Alessandro, Tari, Hamed, Pepino, Riccardo, Nabizada, Arif, Fazio, Eugenio
Format: Article
Language:English
Subjects:
Analysis
artificial intelligence
Brain research
Data entry
Energy consumption
Evaluation
learning
Nervous system
Neural networks
Neural stimulation
neuromorphic systems
Neurons
Neuroplasticity
Neurotransmitters
Optics
photorefractive solitons
Propagation
Signal processing
Structure-function relationships
Synapses
Synaptic plasticity
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2313-7673
2313-7673
DOI:10.3390/biomimetics9040231