Cargando…
Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic Networks
We have calculated key characteristics of associative (content-addressable) spatial-temporal memories based on neuromorphic networks with restricted connectivity—“CrossNets.” Such networks may be naturally implemented in nanoelectronic hardware using hybrid memristive circuits, which may feature ext...
Autores principales: | Gavrilov, Dmitri, Strukov, Dmitri, Likharev, Konstantin K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883079/ https://www.ncbi.nlm.nih.gov/pubmed/29643761 http://dx.doi.org/10.3389/fnins.2018.00195 |
Ejemplares similares
-
Noise and Memristance Variation Tolerance of Single Crossbar Architectures for Neuromorphic Image Recognition
por: Le, Minh, et al.
Publicado: (2021) -
Self-Powered Memristive Systems for Storage and Neuromorphic Computing
por: Shi, Jiajuan, et al.
Publicado: (2021) -
Generalized reconfigurable memristive dynamical system (MDS) for neuromorphic applications
por: Bavandpour, Mohammad, et al.
Publicado: (2015) -
Neuromorphic computing with multi-memristive synapses
por: Boybat, Irem, et al.
Publicado: (2018) -
Memristive and CMOS Devices for Neuromorphic Computing
por: Milo, Valerio, et al.
Publicado: (2020)