Archivio Istituzionale della RicercaIn this chapter, theory, circuit design methodologies and possible applications of Cellular Nanoscale Networks (CNNs) exploiting memristor technology are reviewed. Memristor-based CNNs platforms (MCNNs) make use of memristors to realize analog multiplication circuits that are essential to perform CNN calculation with low power and small area.
Memristor-based platforms: A comparison between continous-time and discrete-time cellular neural networks / Kim, Y. -S.; Shin, S. -H.; Secco, J.; Min, K. -S.; Corinto, F. (COGNITIVE SYSTEMS MONOGRAPHS). - In: Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices7TH FLOOR, VIJAYA BUILDING, 17, BARAKHAMBA RD, NEW DELHI, 110 001, INDIA : Springer, 2017. - ISBN 9788132237013. - pp. 65-79 [10.1007/978-81-322-3703-7_4]
Memristor-based platforms: A comparison between continous-time and discrete-time cellular neural networks
Secco J.;Corinto F.
2017
Abstract
In this chapter, theory, circuit design methodologies and possible applications of Cellular Nanoscale Networks (CNNs) exploiting memristor technology are reviewed. Memristor-based CNNs platforms (MCNNs) make use of memristors to realize analog multiplication circuits that are essential to perform CNN calculation with low power and small area.
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https://hdl.handle.net/11583/3004337