2013
DOI: 10.1186/1687-1847-2013-258
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Dynamic evolution evoked by external inputs in memristor-based wavelet neural networks with different memductance functions

Abstract: In this paper, we present a preliminary study concerning the dynamic flows in memristor-based wavelet neural networks with continuous feedback functions and discontinuous feedback functions in the presence of different memductance functions. The theoretical studies as well as the computer simulations confirm our claim. The analysis can characterize the fundamental electrical properties of memristor devices and provide convenience for applications.

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Cited by 6 publications
(4 citation statements)
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“…A common use of memristors in neuromorphic implementations is as part of or the entire synapse implementation (depending on the type of network) [862]- [868], [1025]- [1027], [1036], [1063]- [1065], [1103], [1149]-[1154], [1177], [1178], [1200], [1206]- [1208], [1262]- [1264], [1284], [1356], [1357], [1456], [1803]- [1820]. Sometimes the memristor is simply used as a synaptic weight storage element.…”
Section: B Device-level Componentsmentioning
confidence: 99%
“…A common use of memristors in neuromorphic implementations is as part of or the entire synapse implementation (depending on the type of network) [862]- [868], [1025]- [1027], [1036], [1063]- [1065], [1103], [1149]-[1154], [1177], [1178], [1200], [1206]- [1208], [1262]- [1264], [1284], [1356], [1357], [1456], [1803]- [1820]. Sometimes the memristor is simply used as a synaptic weight storage element.…”
Section: B Device-level Componentsmentioning
confidence: 99%
“…Combining with (4) and (9)-(11), then the synchronization error system (14) can be transformed into the following form:̇1…”
Section: Drive Systemsmentioning
confidence: 99%
“…The complex behaviors for such systems were analyzed in [1][2][3][4][5][8][9][10]. When nonlinear memristor is applied to electronic device, the behavior of the new-type device becomes complicated and difficult to predict due to the unique nonlinear mechanism of memristor [11][12][13][14]. However, to apply to the practical engineering, its electrical characteristics must be able to be fully understood.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, the exponential passivity analysis for memristor recurrent neural networks with constant time delays is studied in Wu and Zeng (2014). A preliminary study concerning the dynamic flows in memristor-based wavelet neural networks with continuous feedback functions and discontinuous feedback functions in the presence of different memductance functions has been reported in Wu et al (2013). However, to the best of our knowledge, the research on delay-dependent passivity analysis of memristor-based BAM neural networks is still an open problem that deserves further investigation.…”
Section: Introductionmentioning
confidence: 99%