Cargando…
Plasticity in memristive devices for spiking neural networks
Memristive devices present a new device technology allowing for the realization of compact non-volatile memories. Some of them are already in the process of industrialization. Additionally, they exhibit complex multilevel and plastic behaviors, which make them good candidates for the implementation...
Autores principales: | Saïghi, Sylvain, Mayr, Christian G., Serrano-Gotarredona, Teresa, Schmidt, Heidemarie, Lecerf, Gwendal, Tomas, Jean, Grollier, Julie, Boyn, Sören, Vincent, Adrien F., Querlioz, Damien, La Barbera, Selina, Alibart, Fabien, Vuillaume, Dominique, Bichler, Olivier, Gamrat, Christian, Linares-Barranco, Bernabé |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4345885/ https://www.ncbi.nlm.nih.gov/pubmed/25784849 http://dx.doi.org/10.3389/fnins.2015.00051 |
Ejemplares similares
-
Interplay of multiple synaptic plasticity features in filamentary memristive devices for neuromorphic computing
por: La Barbera, Selina, et al.
Publicado: (2016) -
On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex
por: Zamarreño-Ramos, Carlos, et al.
Publicado: (2011) -
Learning through ferroelectric domain dynamics in solid-state synapses
por: Boyn, Sören, et al.
Publicado: (2017) -
Generalized reconfigurable memristive dynamical system (MDS) for neuromorphic applications
por: Bavandpour, Mohammad, et al.
Publicado: (2015) -
Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details
por: Serrano-Gotarredona, Teresa, et al.
Publicado: (2015)