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Memristor-Based Platforms: A Comparison Between Continous-Time and Discrete-Time Cellular Neural Networks

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Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Part of the book series: Cognitive Systems Monographs ((COSMOS,volume 31))

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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Notes

  1. 1.

    In Eq. 3 the cell states are noted as \(h_{i,j}\) instead if \(y_{i,j}\) since for the BPI algorithm the possible states are discrete and properly fixed. On the other hand, in the algorithm by Itoh and Chua the state of the single cell coincides with the actual internal state of the memristive element.

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Acknowledgements

The first part of this work was financially supported by NRF-2011-0030228, NRF-2013K1A3A1A25038533, NRF-2013R1A1A2A10064812, and BK Plus with the Educational Research Team for Creative Engineers on Material-Device-Circuit Co-Design (Grant No: 22A20130000042), funded by the National Research Foundation of Korea (NRF), and by Global Scholarship Program for Foreign Graduate Students at Kookmin Univ. The CAD tools were supported by IC Design Education Center (IDEC), Daejeon, Korea.

The second part of this work has been supported by the Ministry of Foreign Affairs Con il contributo del Ministero degli Affari Esteri, Direzione Generale per la Promozione del Sistema Paese.

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Authors and Affiliations

  1. Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy

    Young-Su Kim, Sang-Hak Shin, Jacopo Secco, Keyong-Sik Min & Fernando Corinto

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  1. Young-Su Kim
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  2. Sang-Hak Shin
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  3. Jacopo Secco
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  4. Keyong-Sik Min
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  5. Fernando Corinto
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Correspondence to Fernando Corinto .

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Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Manan Suri

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Kim, YS., Shin, SH., Secco, J., Min, KS., Corinto, F. (2017). Memristor-Based Platforms: A Comparison Between Continous-Time and Discrete-Time Cellular Neural Networks. In: Suri, M. (eds) Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices. Cognitive Systems Monographs, vol 31. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3703-7_4

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  • DOI: https://doi.org/10.1007/978-81-322-3703-7_4

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