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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Detalles Bibliográficos
Autores principales: Makarov, Valeri A., Lobov, Sergey A., Shchanikov, Sergey, Mikhaylov, Alexey, Kazantsev, Viktor B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243340/
https://www.ncbi.nlm.nih.gov/pubmed/35782090
http://dx.doi.org/10.3389/fncom.2022.859874

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243340/
https://www.ncbi.nlm.nih.gov/pubmed/35782090
http://dx.doi.org/10.3389/fncom.2022.859874

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