Chargement en cours...
Back-Propagation Learning in Deep Spike-By-Spike Networks
Artificial neural networks (ANNs) are important building blocks in technical applications. They rely on noiseless continuous signals in stark contrast to the discrete action potentials stochastically exchanged among the neurons in real brains. We propose to bridge this gap with Spike-by-Spike (SbS)...
Enregistré dans:
| Publié dans: | Front Comput Neurosci |
|---|---|
| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2019
|
| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6700320/ https://ncbi.nlm.nih.gov/pubmed/31456677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2019.00055 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|