Artificial neural networks with dynamic synapses: a review
Artificial neural networks (ANNs) are widely applied to solve real-world problems. Most of the actions we take and the processes around us are time-varying. ANNs with dynamic properties allow processing time-dependent data and solving tasks such as speech and text processing, prediction models, fac...
Main Author: | Martynas Dumpis |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius Gediminas Technical University
2023-11-01
|
Series: | Mokslas: Lietuvos Ateitis |
Subjects: | |
Online Access: | https://jau.vgtu.lt/index.php/MLA/article/view/20144 |
Similar Items
-
Neural population dynamics of computing with synaptic modulations
by: Kyle Aitken, et al.
Published: (2023-02-01) -
Synaptic energy drives the information processing mechanisms in spiking neural networks
by: Karim El Laithy, et al.
Published: (2013-09-01) -
Photonic Synapses for Image Recognition and High Density Integration of Simplified Artificial Neural Networks
by: Yuqing Fang, et al.
Published: (2023-06-01) -
Synapse-Mimetic Hardware-Implemented Resistive Random-Access Memory for Artificial Neural Network
by: Hyunho Seok, et al.
Published: (2023-03-01) -
Optimizing Physics-Informed Neural Network in Dynamic System Simulation and Learning of Parameters
by: Ebenezer O. Oluwasakin, et al.
Published: (2023-11-01)