article · Greater South Information System · 2016

Recent trends in neuromorphic engineering

Sumit Soman, Jayadeva Jayadeva, Manan Suri

Cited by 0Open access

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.

Cite this paper

APA 7

Soman, S., Jayadeva, J., & Suri, M. (2016). Recent trends in neuromorphic engineering. Greater South Information System. https://doi.org/10.60692/mgnxb-zf088

MLA 9

Soman, Sumit, et al. “Recent trends in neuromorphic engineering.” Greater South Information System, 2016, https://doi.org/10.60692/mgnxb-zf088.

Chicago

Soman, Sumit, Jayadeva Jayadeva, and Manan Suri. 2016. “Recent trends in neuromorphic engineering.” Greater South Information System. https://doi.org/10.60692/mgnxb-zf088.

Harvard

Soman, S., Jayadeva, J. and Suri, M. (2016) ‘Recent trends in neuromorphic engineering’, Greater South Information System. Available at: https://doi.org/10.60692/mgnxb-zf088.

BibTeX

@article{soman2016recent,
  title = {{Recent trends in neuromorphic engineering}},
  author = {Soman, Sumit and Jayadeva, Jayadeva and Suri, Manan},
  journal = {Greater South Information System},
  year = {2016},
  doi = {10.60692/mgnxb-zf088}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.