Effects of memristive synapse radiation interactions on learning in spiking neural networks

Effects of memristive synapse radiation interactions on learning in spiking neural networks

Abstract This study uses advanced modeling and simulation to explore the effects of external events such as radiation interactions on the synaptic devices in an electronic spiking neural network. Specifically, the networks are trained using the spike-timing-dependent plasticity (STDP) learning rule...

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Bibliographic Details
Main Authors: Sumedha Gandharava Dahl, Robert C. Ivans, Kurtis D. Cantley
Format: Article
Language:English
Published: Springer 2021-04-01
Series:SN Applied Sciences
Subjects:
Neuromorphic circuits
Non-linear memristor model
Radiation
Spike-timing-dependent plasticity (STDP)
Leaky integrate-and-fire (LIF) neuron
Spatio-temporal pattern learning
Online Access:https://doi.org/10.1007/s42452-021-04553-0

Internet

https://doi.org/10.1007/s42452-021-04553-0

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