Organic Memristor with Synaptic Plasticity for Neuromorphic Computing Applications

Memristors have been considered to be more efficient than traditional Complementary Metal Oxide Semiconductor (CMOS) devices in implementing artificial synapses, which are fundamental yet very critical components of neurons as well as neural networks. Compared with inorganic counterparts, organic me...

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Detalles Bibliográficos
Autores principales: Zeng, Jianmin, Chen, Xinhui, Liu, Shuzhi, Chen, Qilai, Liu, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005145/
https://www.ncbi.nlm.nih.gov/pubmed/36903681
http://dx.doi.org/10.3390/nano13050803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005145/
https://www.ncbi.nlm.nih.gov/pubmed/36903681
http://dx.doi.org/10.3390/nano13050803

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