Recurrent neural networks with transient trajectory explain working memory encoding mechanisms
Abstract Whether working memory (WM) is encoded by persistent activity using attractors or by dynamic activity using transient trajectories has been debated for decades in both experimental and modeling studies, and a consensus has not been reached. Even though many recurrent neural networks (RNNs)...
| Autores principales: | , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Nature Portfolio
2025-01-01
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| Colección: | Communications Biology |
| Acceso en línea: | https://doi.org/10.1038/s42003-024-07282-3 |