Cargando…
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies
Training recurrent neural networks (RNNs) has become a go-to approach for generating and evaluating mechanistic neural hypotheses for cognition. The ease and efficiency of training RNNs with backpropagation through time and the availability of robustly supported deep learning libraries has made RNN...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592728/ https://www.ncbi.nlm.nih.gov/pubmed/37873445 http://dx.doi.org/10.1101/2023.10.10.561588 |