Encyclopedia of Computational Neuroscience

2015 Edition
| Editors: Dieter Jaeger, Ranu Jung

Neuromorphic Engineering: Overview

  • Sylvie Renaud
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-6675-8_765


Neuromorphic engineering is a recent interdisciplinary field involving biologists, physicists, mathematicians, computer scientists, and engineers to design hardware/physical models of neural systems. It aims at designing silicon-based neural systems for computational or biomedical purposes. The term “neuromorphic” relates to the computational architecture, shaped to model biological neural systems: neuromorphic engineering is by essence strongly linked to computational neuroscience.

Detailed Description

Neuromorphic engineering offers an interesting alternative to computer simulations of neural networks: while main components of computers are high-precision high-speed digital hardware with high-power dissipation, neural components are slow asynchronous computational elements which use a combination of analog and digital signal representations. Neuromorphic systems are hardware implementations that operate in physical time; they are inspired by the structure, function, and...

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  1. Mead C (1989) Analog VLSI and neural systems. Addison-Wesley, ReadingGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Institut Polytechnique de BordeauxUniversité de BordeauxTalenceFrance