title: Synaptic electronics: materials, devices and applications.
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.
authors.affiliation: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA. duygu@stanford.edu
authors.forename: Duygu
authors.initials: D
authors.lastname: Kuzum
authors.forename: Shimeng
authors.initials: S
authors.lastname: Yu
authors.forename: H-S Philip
authors.initials: HS
authors.lastname: Wong
mesh_terms: D000818:Animals; D004581:Electronics; D006801:Humans; D008959:Models, Neurological; D036103:Nanotechnology / Q000295:instrumentation* / Q000379:methods*; D009474:Neurons; D013569:Synapses