3D Neuromorphic Hardware with Single Thin‐Film Transistor Synapses Over Single Thin‐Body Transistor Neurons by Monolithic Vertical Integration

Neuromorphic hardware with a spiking neural network (SNN) can significantly enhance the energy efficiency for artificial intelligence (AI) functions owing to its event‐driven and spatiotemporally sparse operations. However, an artificial neuron and synapse based on complex complementary metal‐oxide‐...

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Detalles Bibliográficos
Autores principales: Han, Joon‐Kyu, Lee, Jung‐Woo, Kim, Yeeun, Kim, Young Bin, Yun, Seong‐Yun, Lee, Sang‐Won, Yu, Ji‐Man, Lee, Keon Jae, Myung, Hyun, Choi, Yang‐Kyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602577/
https://www.ncbi.nlm.nih.gov/pubmed/37712147
http://dx.doi.org/10.1002/advs.202302380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602577/
https://www.ncbi.nlm.nih.gov/pubmed/37712147
http://dx.doi.org/10.1002/advs.202302380

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