Toward Reflective Spiking Neural Networks Exploiting Memristive Devices

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...

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Bibliographic Details
Main Authors: Valeri A. Makarov, Sergey A. Lobov, Sergey Shchanikov, Alexey Mikhaylov, Viktor B. Kazantsev
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
spiking neural networks (SNNs)
memristors and memristive systems
high-dimensional brain
plasticity
reflective systems
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2022.859874/full

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https://www.frontiersin.org/articles/10.3389/fncom.2022.859874/full

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