Cargando…
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update
Among many artificial neural networks, the research on Spike Neural Network (SNN), which mimics the energy-efficient signal system in the brain, is drawing much attention. Memristor is a promising candidate as a synaptic component for hardware implementation of SNN, but several non-ideal device prop...
Autores principales: | Kim, Taeyoon, Hu, Suman, Kim, Jaewook, Kwak, Joon Young, Park, Jongkil, Lee, Suyoun, Kim, Inho, Park, Jong-Keuk, Jeong, YeonJoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996210/ https://www.ncbi.nlm.nih.gov/pubmed/33776676 http://dx.doi.org/10.3389/fncom.2021.646125 |
Ejemplares similares
-
Cluster-type analogue memristor by engineering redox dynamics for high-performance neuromorphic computing
por: Kang, Jaehyun, et al.
Publicado: (2022) -
Reversible switching mode change in Ta(2)O(5)-based resistive switching memory (ReRAM)
por: Kim, Taeyoon, et al.
Publicado: (2020) -
Tunnel junction based memristors as artificial synapses
por: Thomas, Andy, et al.
Publicado: (2015) -
Pulse Shape and Timing Dependence on the Spike-Timing Dependent Plasticity Response of Ion-Conducting Memristors as Synapses
por: Campbell, Kristy A., et al.
Publicado: (2016) -
Bipolar Analog Memristors as Artificial Synapses for Neuromorphic Computing
por: Wang, Rui, et al.
Publicado: (2018)