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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2021-04-01
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| Series: | SN Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-021-04553-0 |