Cargando…
Editorial: Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions
Autores principales: | Covi, Erika, Donati, Elisa, Brivio, Stefano, Heidari, Hadi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009517/ https://www.ncbi.nlm.nih.gov/pubmed/35431784 http://dx.doi.org/10.3389/fnins.2022.863680 |
Ejemplares similares
-
Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays
por: Hirtzlin, Tifenn, et al.
Publicado: (2020) -
Adaptive Extreme Edge Computing for Wearable Devices
por: Covi, Erika, et al.
Publicado: (2021) -
Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning
por: Covi, Erika, et al.
Publicado: (2016) -
A biologically plausible learning rule for the Infomax on recurrent neural networks
por: Hayakawa, Takashi, et al.
Publicado: (2014) -
Biologically plausible local synaptic learning rules robustly implement deep supervised learning
por: Konishi, Masataka, et al.
Publicado: (2023)