A bi-functional three-terminal memristor applicable as an artificial synapse and neuron
Due to their significant resemblance to the biological brain, spiking neural networks (SNNs) show promise in handling spatiotemporal information with high time and energy efficiency. Two-terminal memristors have the capability to achieve both synaptic and neuronal functions; however, such memristors...
Main Authors: | Liu, Lingli, Dananjaya, Putu Andhita, Ang, Calvin Ching Ian, Koh, Eng Kang, Lim, Gerard Joseph, Poh, Han Yin, Chee, Mun Yin, Lee, Calvin Xiu Xian, Lew, Wen Siang |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Journal Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173458 |
Similar Items
-
Proton-assisted redox-based three-terminal memristor for synaptic device applications
by: Liu, Lingli, et al.
Published: (2023) -
Efficient 3-D Fundamental LOD-FDTD Method Incorporated with Memristor
by: Yang, Zaifeng, et al.
Published: (2016) -
Distributed In-Memory Computing on Binary Memristor-Crossbar for Machine Learning
by: Yu, Hao, et al.
Published: (2017) -
Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles
by: Chen, Long, et al.
Published: (2024) -
Femtosecond laser-induced nano-joining of volatile tellurium nanotube memristor
by: Yu, Yongchao, et al.
Published: (2023)