Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs

Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs

Emerging brain-inspired neuromorphic computing paradigms require devices that can emulate the complete functionality of biological synapses upon different neuronal activities in order to process big data flows in an efficient and cognitive manner while being robust against any noisy input. The memri...

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Bibliographic Details
Main Authors: Nan Du, Xianyue Zhao, Ziang Chen, Bhaskar Choubey, Massimiliano Di Ventra, Ilona Skorupa, Danilo Bürger, Heidemarie Schmidt
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Neuroscience
Subjects:
artificial synapse
resistive switching
synaptic plasticity
neuronal noise
spike-timing dependent plasticity
cycle-number dependent plasticity
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.660894/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.660894/full

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