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A cerebellum inspired spiking neural network as a multi-model for pattern classification and robotic trajectory prediction
Spiking neural networks were introduced to understand spatiotemporal information processing in neurons and have found their application in pattern encoding, data discrimination, and classification. Bioinspired network architectures are considered for event-driven tasks, and scientists have looked at...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742384/ https://www.ncbi.nlm.nih.gov/pubmed/36518530 http://dx.doi.org/10.3389/fnins.2022.909146 |