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Dynamical memristive neural networks and associative self-learning architectures using biomimetic devices
While there is an abundance of research on neural networks that are “inspired” by the brain, few mimic the critical temporal compute features that allow the brain to efficiently perform complex computations. Even fewer methods emulate the heterogeneity of learning produced by biological neurons. Mem...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157062/ https://www.ncbi.nlm.nih.gov/pubmed/37152603 http://dx.doi.org/10.3389/fnins.2023.1153183 |