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cs.ET2025
Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors
A N M Nafiul Islam, Xuezhong Niu, Jiahui Duan +3
Although inspired by neuronal systems in the brain, artificial neural networks generally employ point-neurons, which offer far less computational complexity than their biological c…
cs.ET2025
A Bio-inspired Asymmetric Double-Gate Ferroelectric FET for Emulating Astrocyte and Dendrite Dynamics in Neuromorphic Systems
Zhouhang Jiang, A N M Nafiul Islam, Zhuangyu Han +13
Neuromorphic systems seek to replicate the functionalities of biological neural networks to attain significant improvements in performance and efficiency of AI computing platforms.…
cs.ET2023
Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning
Bibhas Manna, Arnob Saha, Zhouhang Jiang +2
Reliability issues stemming from device level non-idealities of non-volatile emerging technologies like ferroelectric field-effect transistors (FeFET), especially at scaled dimensi…