Neuromorphic engineering

6Citations
Citations of this article
57Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Neuromorphic engineering is a relatively young field that attempts to build physical realizations of biologically realistic models of neural systems using electronic circuits implemented in very large scale integration technology. While originally focusing on models of the sensory periphery implemented using mainly analog circuits, the field has grown and expanded to include the modeling of neural processing systems that incorporate the computational role of the body, that model learning and cognitive processes, and that implement large distributed spiking neural networks using a variety of design techniques and technologies. This emerging field is characterized by its multidisciplinary nature and its focus on the physics of computation, driving innovations in theoretical neuroscience, device physics, electrical engineering, and computer science.

Cite

CITATION STYLE

APA

Indiveri, G. (2015). Neuromorphic engineering. In Springer Handbook of Computational Intelligence (pp. 715–725). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_38

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free