A topologically simple memristive-based oscillatory network showing a wide plethora of dynamical behaviors may be a good candidate for the realization of innovative oscillatory associative and dynamic memories for the recognition of spatial–temporal synchronization states. The design of such pattern recognition systems may not leave aside a preliminary thorough investigation of the nonlinear dynamics of the network and its basic components. In a synchronization scenario with almost-sinusoidal oscillations, each of the memristive elements used in the cells of the network under consideration features an unusual current–voltage behavior. This manuscript models the linear circuitry and the memristive element in each cell so as to capture the observed dynamics and then presents an analytical study explaining the quantitative dependence of memristive current–voltage behavior on excitation amplitude–angular frequency ratio and on initial condition on the system state. This work leads to the first rigorous classification of all possible current–voltage characteristics for a sine-wave voltage-driven memristive element. This analytical study shall pave way towards a better understanding of the complex and still unexplored dynamical properties of this nonlinear device, whose distinct features could improve the capabilities of future-generation pattern recognition systems.
Analysis of current-voltage characteristics for memristive elements in pattern recognition systems / CORINTO F.; ASCOLI A.; GILLI M.. - In: INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS. - ISSN 0098-9886. - 40:12(2012), pp. 1277-1320.
|Titolo:||Analysis of current-voltage characteristics for memristive elements in pattern recognition systems|
|Data di pubblicazione:||2012|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1002/cta.1804|
|Appare nelle tipologie:||1.1 Articolo in rivista|
File in questo prodotto:
|cta_accepted.pdf||This is the pre-peer reviewed version of the following article: "Analysis of current–voltage characteristics for memristive elements in pattern recognition systems" which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/cta.1804/abstract;jsessionid=1DC0B44EDF51BF767D150A79FE589614.f02t02||1. Preprint / Submitted Version||Non Pubblico - Accesso privato/ristretto||Administrator Richiedi una copia|