Cargando…
Error-based or target-based? A unified framework for learning in recurrent spiking networks
The field of recurrent neural networks is over-populated by a variety of proposed learning rules and protocols. The scope of this work is to define a generalized framework, to move a step forward towards the unification of this fragmented scenario. In the field of supervised learning, two opposite a...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249234/ https://www.ncbi.nlm.nih.gov/pubmed/35727852 http://dx.doi.org/10.1371/journal.pcbi.1010221 |