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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053242/ https://www.ncbi.nlm.nih.gov/pubmed/36991750 http://dx.doi.org/10.3390/s23063037 |