Neuromorphic microelectronics from devices to hardware systems and applications-Reference-Cited by-同舟云学术

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Neuromorphic microelectronics from devices to hardware systems and applications

Published:2016 Issue:4 Volume:7 Page:468-498
ISSN:2185-4106
Container-title:Nonlinear Theory and Its Applications, IEICE
language:en
Short-container-title:NOLTA

Author:

Schmid Alexandre¹

Affiliation:

1. Microelectronic Systems Laboratory, Swiss Federal Institute of Technology (EPFL)

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

https://www.jstage.jst.go.jp/article/nolta/7/4/7_468/_pdf

Reference161 articles.

1. [1] C.A. Mead, Analog VLSI and Neural Systems, Addison-Wesley, 1989.

2. [2] C.A. Mead, “Neuromorphic electronic systems,” Proc. IEEE, vol. 78, pp. 1629-1636, 1990.

3. [3] F. Morgado Dias, A. Antunes, and A.M. Mota, “Artificial neural networks: a review of commercial hardware,” Engineering Applications of Artificial Intelligence, vol. 17, no. 8, pp. 945-952, 2004.

4. [4] F. Zenke and W. Gerstner, “Limits to high-speed simulations of spiking neural networks using general-purpose computers,” Frontiers in Neuroinformatics, vol. 8, no. 76, 2014.

5. [5] L.S. Smith, “Implementing Neural Models in Silicon,” Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologie, A.Y. Zomaya, Edt., pp. 433-475, Springer, 2006.

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