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Heterosynaptic Plasticity in a Vertical Two-Terminal Synaptic Device.

Haena YimChansoo YoonAhrom RyuSo Yeon YooJu Young KwonGwangtaek OhSohwi KimEun Hee KeeKeun-Hwa ChaeJung Ho YoonBae Ho ParkJi-Won Choi
Published in: Nano letters (2023)
Vertical two-terminal synaptic devices based on resistive switching have shown great potential for emulating biological signal processing and implementing artificial intelligence learning circuitries. To mimic heterosynaptic behaviors in vertical two-terminal synaptic devices, an additional terminal is required for neuromodulator activity. However, adding an extra terminal, such as a gate of the field-effect transistor, may lead to low scalability. In this study, a vertical two-terminal Pt/bilayer Sr 1.8 Ag 0.2 Nb 3 O 10 (SANO) nanosheet/Nb:SrTiO 3 (Nb:STO) device emulates heterosynaptic plasticity by controlling the number of trap sites in the SANO nanosheet via modulation of the tunneling current. Similar to biological neuromodulation, we modulated the synaptic plasticity, pulsed pair facilitation, and cutoff frequency of a simple two-terminal device. Therefore, our synaptic device can add high-level learning such as associative learning to a neuromorphic system with a simple cross-bar array structure.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • single cell