CMOS and Memristor-Based Neural Network Design for Position Detection

Abstract

Most hardware neural networks have a basic competitive learning rule on top of a more involved processing algorithm. This work highlights two basic learning rules/behavior: winner-take-all (WTA) and spike-timing-dependent plasticity (STDP). It also gives a design example implementing WTA combined with STDP in a position detector. A complementary metal-oxide… (More)
DOI: 10.1109/JPROC.2011.2173089

Topics

13 Figures and Tables

Statistics

02040602012201320142015201620172018
Citations per Year

123 Citations

Semantic Scholar estimates that this publication has 123 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Ebong2012CMOSAM, title={CMOS and Memristor-Based Neural Network Design for Position Detection}, author={Idongesit E. Ebong and Pinaki Mazumder}, journal={Proceedings of the IEEE}, year={2012}, volume={100}, pages={2050-2060} }