Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities
Spiking neural networks (SNNs) are subjects of a topic that is gaining more and more interest nowadays. They more closely resemble actual neural networks in the brain than their second-generation counterparts, artificial neural networks (ANNs). SNNs have the potential to be more energy efficient tha...
Main Authors: | Paweł Pietrzak, Szymon Szczęsny, Damian Huderek, Łukasz Przyborowski |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/6/3037 |
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