Synaptic electronics: materials, devices and applications
Stanford University · University of Pennsylvania · +1 more institution
Indexed incrossrefpubmed
Abstract
In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological synaptic plasticity and learning are described. The material properties and electrical switching characteristics of a variety of synaptic devices are discussed, with a focus on the use of synaptic devices for neuromorphic or brain-inspired computing. Performance metrics desirable for large-scale implementations of synaptic devices are illustrated. A review of recent work on targeted computing applications with synaptic devices is presented.
Citation impact
1,239
total citations
- FWCI
- 39.84
- Percentile
- 100%
- References
- 135
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Neuromorphic engineering
- Synaptic plasticity
- Electronics
- Materials science
- Computer science
- Neuroscience
- Nanotechnology
- Artificial neural network
No related works found for this paper.