Threshold-Variation-Tolerant Coupling-Gate α-IGZO Synaptic Transistor for More Reliably Controllable Hardware Neuromorphic System.
Dongyeon KangJun Tae JangShinyoung ParkMd. Hasan Raza AnsariJong-Ho BaeSung-Jin ChoiDong Myong KimChangwook KimSeongjae ChoDae Hwan KimPublished in: IEEE Access (2021)
Keyphrases
- floating gate
- silicon dioxide
- low cost
- high speed
- hardware and software
- synaptic weights
- circuit design
- low power
- field effect transistors
- leakage current
- real time
- metal oxide semiconductor
- hardware architecture
- learning rules
- integrated circuit
- embedded systems
- feed forward
- computer systems
- computing systems
- massively parallel
- hardware implementation
- data acquisition
- personal computer
- digital signal processing
- cmos technology
- vlsi implementation
- hebbian learning
- threshold selection
- multiple input
- computing power
- spiking neural networks
- artificial neural networks