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Excitatory/inhibitory balance emerges as a key factor for RBN performance, overriding attractor dynamics
Reservoir computing provides a time and cost-efficient alternative to traditional learning methods. Critical regimes, known as the “edge of chaos,” have been found to optimize computational performance in binary neural networks. However, little attention has been devoted to studying reservoir-to-res...
| 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/PMC10445160/ https://www.ncbi.nlm.nih.gov/pubmed/37621962 http://dx.doi.org/10.3389/fncom.2023.1223258 |