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Supervised learning with organic memristor devices and prospects for neural crossbar arrays.

, , , , , , and . NANOARCH, page 181-186. IEEE Computer Society, (2015)

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Low power magnetic flip-flop based on checkpointing and self-enable mechanism., , , , and . NEWCAS, page 1-4. IEEE, (2013)Supervised learning with organic memristor devices and prospects for neural crossbar arrays., , , , , , and . NANOARCH, page 181-186. IEEE Computer Society, (2015)An overview of spin-based integrated circuits., , , , , , , , and . ASP-DAC, page 676-683. IEEE, (2014)On-chip supervised learning rule for ultra high density neural crossbar using memristor for synapse and neuron., , , and . NANOARCH, page 7-12. IEEE Computer Society/ACM, (2014)Robust neural logic block (NLB) based on memristor crossbar array., , , and . NANOARCH, page 137-143. IEEE Computer Society, (2011)On-Chip Universal Supervised Learning Methods for Neuro-Inspired Block of Memristive Nanodevices., , , and . JETC, 11 (4): 34:1-34:20 (2015)Robust learning approach for neuro-inspired nanoscale crossbar architecture., , , and . JETC, 10 (1): 5:1-5:20 (2014)Crossbar architecture based on 2R complementary resistive switching memory cell., , , , , , , , , and 2 other author(s). NANOARCH, page 85-92. ACM, (2012)Nanodevice-based novel computing paradigms and the neuromorphic approach., , , , and . ISCAS, page 2509-2512. IEEE, (2012)Ultra Low Power Magnetic Flip-Flop Based on Checkpointing/Power Gating and Self-Enable Mechanisms., , , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 61-I (6): 1755-1765 (2014)