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Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation
Artificial neural networks overwrite previously learned tasks when trained sequentially, a phenomenon known as catastrophic forgetting. In contrast, the brain learns continuously, and typically learns best when new training is interleaved with periods of sleep for memory consolidation. Here we used...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674146/ https://www.ncbi.nlm.nih.gov/pubmed/36399437 http://dx.doi.org/10.1371/journal.pcbi.1010628 |