Gaussian synapses for probabilistic neural networks

The recent decline in energy, size and complexity scaling of traditional von Neumann architecture has resurrected considerable interest in brain-inspired computing. Artificial neural networks (ANNs) based on emerging devices, such as memristors, achieve brain-like computing but lack energy-efficienc...

Descripción completa

Detalles Bibliográficos
Autores principales: Sebastian, Amritanand, Pannone, Andrew, Subbulakshmi Radhakrishnan, Shiva, Das, Saptarshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744503/
https://www.ncbi.nlm.nih.gov/pubmed/31519885
http://dx.doi.org/10.1038/s41467-019-12035-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744503/
https://www.ncbi.nlm.nih.gov/pubmed/31519885
http://dx.doi.org/10.1038/s41467-019-12035-6

Ejemplares similares