Toward Reflective Spiking Neural Networks Exploiting Memristive Devices
The design of modern convolutional artificial neural networks (ANNs) composed of formal neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy, where receptive fields become increasingly more complex and coding sparse. Nowadays, ANNs outperform humans in controlled...
Main Authors: | Valeri A. Makarov, Sergey A. Lobov, Sergey Shchanikov, Alexey Mikhaylov, Viktor B. Kazantsev |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-06-01
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Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2022.859874/full |
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