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Large-signal two-terminal device model for nanoelectronic circuit analysis.

, , and . IEEE Trans. Very Large Scale Integr. Syst., 12 (11): 1201-1208 (2004)

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A Review of Spiking Neuromorphic Hardware Communication Systems., , , and . IEEE Access, (2019)Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems., , , and . ACM Great Lakes Symposium on VLSI, page 479-482. ACM, (2017)Design of Neuromorphic Architectures with Memristors., , , , and . Network Science and Cybersecurity, volume 55 of Advances in Information Security, Springer, (2014)An Application Development Platform for neuromorphic computing., , , , , , , , and . IJCNN, page 1347-1354. IEEE, (2016)Design Considerations for Multilevel CMOS/Nano Memristive Memory., , and . JETC, 8 (1): 6:1-6:22 (2012)Hardware security strategies exploiting nanoelectronic circuits., , , , , and . ASP-DAC, page 368-372. IEEE, (2013)Nano Meets Security: Exploring Nanoelectronic Devices for Security Applications., , , , , , and . Proc. IEEE, 103 (5): 829-849 (2015)A Secure Integrity Checking System for Nanoelectronic Resistive RAM., , , and . IEEE Trans. Very Large Scale Integr. Syst., 27 (2): 416-429 (2019)Introduction to the Special Issue on Hardware-Assisted Security for Emerging Internet of Things., , , , and . ACM J. Emerg. Technol. Comput. Syst., 18 (1): 1:1-1:3 (2022)Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level., , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 125-136 (2018)