Neuromorphic engineering

From Scholarpedia

This article has not been peer-reviewed or accepted for publication yet; It may be unfinished, contain inaccuracies, or unapproved changes.

Author: Dr. Gert Cauwenberghs, University of California San Diego, USA

While this article is empty, see Neuromorphic engineering on Amazon.

Dr. Gert Cauwenberghs accepted the invitation on 18 September 2008 (self-imposed deadline: 18 December 2008).

Neuromorphic engineering is an interdisciplinary approach to the design of information processing electronic systems that are inspired by function, structural organization, and physical foundations of biological neural systems. Neuromorphic engineering aims at systems that attain intelligent behavior through adaptation and learning in their interaction with the environment, and that are more robust and orders of magnitude more energy efficient than conventional approaches using digital electronics and user-programmed intelligence.

Invited by: Dr. Eugene M. Izhikevich, Editor-in-Chief of Scholarpedia, the peer-reviewed open-access encyclopedia
For authors