Spike-Timing Dependent Learning Dynamics in Silicon-Doped Hafnium-Oxide-Based Ferroelectric Field Effect Transistors

Spike-Timing Dependent Learning Dynamics in Silicon-Doped Hafnium-Oxide-Based Ferroelectric Field Effect Transistors

Brain-inspired computing, with its potential for energy-efficient spatio-temporal data processing, has spurred significant interest in spiking neural networks and their hardware implementations. Leveraging their non-volatile memory and analog tunability, Ferroelectric field-effect transistors have e...

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Autori principali: Masud Rana Sk, Apu Das, Gautham Kumar, Deepanshi Bhatnagar, Sourodeep Roy, Yannick Raffel, Maximilian Lederer, Konrad Seidel, Sourav De, Bhaswar Chakrabarti
Natura: Articolo
Lingua:inglese
Pubblicazione: IEEE 2025-01-01
Serie:IEEE Journal of the Electron Devices Society
Soggetti:
Ferroelectrics
FeFET
HSO
spike-time-dependent plasticity
SNN
Accesso online:https://ieeexplore.ieee.org/document/10947015/
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https://ieeexplore.ieee.org/document/10947015/

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