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Oscillatory neural network learning for pattern recognition: an on-chip learning perspective and implementation
In the human brain, learning is continuous, while currently in AI, learning algorithms are pre-trained, making the model non-evolutive and predetermined. However, even in AI models, environment and input data change over time. Thus, there is a need to study continual learning algorithms. In particul...
| 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/PMC10308018/ https://www.ncbi.nlm.nih.gov/pubmed/37397448 http://dx.doi.org/10.3389/fnins.2023.1196796 |