Recent trends in neuromorphic engineering. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Soman, Sumit; jayadeva, ; Suri, Manan
• Is Part Of: Big data analytics. Volume 1:Issue 1(2016)
• Page Start: 1
• Page End: 19
• Publication Date: 2016-12
• Subjects: Neuromorphic engineering -- Neuromorphic hardware -- Neuromorphic algorithms -- Neuromorphic applications -- Neuromorphic circuits -- Neuromorphic systems -- Neuromorphic devices; Big data -- Periodicals; Biology -- Data processing -- Periodicals; 570.28557
• DOI: 10.1186/s41044-016-0013-1
• Languages: English
• ISSNs: 2058-6345

Abstract

Abstract Neuromorphic Engineering has emerged as an exciting research area, primarily owing to the paradigm shift from conventional computing architectures to data-driven, cognitive computing. There is a diversity of work in the literature pertaining to neuromorphic systems, devices and circuits. This review looks at recent trends in neuromorphic engineering and its sub-domains, with an attempt to identify key research directions that would assume significance in the future. We hope that this review would serve as a handy reference to both beginners and experts, and provide a glimpse into the broad spectrum of applications of neuromorphic hardware and algorithms. Our survey indicates that neuromorphic engineering holds a promising future, particularly with growing data volumes, and the imminent need for intelligent, versatile computing.