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Multi-Level Neuromorphic Devices Built on Emerging Ferroic Materials: A Review
- Source :
- Frontiers in Neuroscience, Frontiers in Neuroscience, Vol 15 (2021)
- Publication Year :
- 2021
- Publisher :
- Frontiers Media S.A., 2021.
-
Abstract
- Achieving multi-level devices is crucial to efficiently emulate key bio-plausible functionalities such as synaptic plasticity and neuronal activity, and has become an important aspect of neuromorphic hardware development. In this review article, we focus on various ferromagnetic (FM) and ferroelectric (FE) devices capable of representing multiple states, and discuss the usage of such multi-level devices for implementing neuromorphic functionalities. We will elaborate that the analog-like resistive states in ferromagnetic or ferroelectric thin films are due to the non-coherent multi-domain switching dynamics, which is fundamentally different from most memristive materials involving electroforming processes or significant ion motion. Both device fundamentals related to the mechanism of introducing multilevel states and exemplary implementations of neural functionalities built on various device structures are highlighted. In light of the non-destructive nature and the relatively simple physical process of multi-domain switching, we envision that ferroic-based multi-state devices provide an alternative pathway toward energy efficient implementation of neuro-inspired computing hardware with potential advantages of high endurance and controllability.
- Subjects :
- Computer science
Process (engineering)
Neurosciences. Biological psychiatry. Neuropsychiatry
02 engineering and technology
Review
neuromorphic
01 natural sciences
computing
0103 physical sciences
Electronic engineering
Implementation
spintronic
device
Neuromorphic hardware
010302 applied physics
Resistive touchscreen
General Neuroscience
021001 nanoscience & nanotechnology
multi-level
Controllability
Neuromorphic engineering
Key (cryptography)
ferroelectric
0210 nano-technology
RC321-571
Efficient energy use
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 1662453X and 16624548
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Frontiers in Neuroscience
- Accession number :
- edsair.doi.dedup.....833eddbde4e96d779c24553554d329e1