Training and operation of an integrated neuromorphic network based on metal-oxide memristors von Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., Strukov, D. B.

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Training andoperation of an integrated neuromorphic network based on metal-oxide memristors von Prezioso, M, Merrikh-Bayat, F, Hoskins, B D, Adam, G C, Likharev, K K, Strukov, D B

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Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors von Prezioso, M., Merrikh Bayat, F., Hoskins, B., Likharev, K., Strukov, D.

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Essential Quotes for Scientists and Engineers von Likharev, Konstantin K

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CMOL FPGA: a reconfigurable architecture for hybrid digital circuits with two-terminal nanodevices von Strukov, Dmitri B, Likharev, Konstantin K

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Single-electron devices and their applications von Likharev, K.K.

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Classical mechanics: problems with solutions von Likharev, K. K

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High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays von Merrikh-Bayat, Farnood, Guo, Xinjie, Klachko, Michael, Prezioso, Mirko, Likharev, Konstantin K., Strukov, Dmitri B.

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Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic Networks von Gavrilov, Dmitri, Strukov, Dmitri, Likharev, Konstantin K

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Layered tunnel barriers for nonvolatile memory devices von Likharev, Konstantin K.

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Superconductor digital electronics von Likharev, Konstantin K.

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CrossNets: High-Performance Neuromorphic Architectures for CMOL Circuits von LIKHAREV, KONSTANTIN, MAYR, ANDREAS, MUCKRA, IBRAHIM, TÜREL, ÖZGÜR

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Prospects for terabit-scale nanoelectronic memories von Strukov, Dmitri B, Likharev, Konstantin K

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Roadmap on emerging hardware and technology for machine learning von Berggren, Karl, Xia, Qiangfei, Likharev, Konstantin K, Strukov, Dmitri B, Jiang, Hao, Mikolajick, Thomas, Querlioz, Damien, Salinga, Martin, Erickson, John R, Pi, Shuang, Xiong, Feng, Lin, Peng, Li, Can, Chen, Yu, Xiong, Shisheng, Hoskins, Brian D, Daniels, Matthew W, Madhavan, Advait, Liddle, James A, McClelland, Jabez J, Yang, Yuchao, Rupp, Jennifer, Nonnenmann, Stephen S, Cheng, Kwang-Ting, Gong, Nanbo, Lastras-Montaño, Miguel Angel, Talin, A Alec, Salleo, Alberto, Shastri, Bhavin J, de Lima, Thomas Ferreira, Prucnal, Paul, Tait, Alexander N, Shen, Yichen, Meng, Huaiyu, Roques-Carmes, Charles, Cheng, Zengguang, Bhaskaran, Harish, Jariwala, Deep, Wang, Han, Shainline, Jeffrey M, Segall, Kenneth, Yang, J Joshua, Roy, Kaushik, Datta, Suman, Raychowdhury, Arijit

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Global Reinforcement Learning in Neural Networks von Ma, X., Likharev, K.K.

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Modeling of 10-nm-scale ballistic MOSFET's von Naveh, Y., Likharev, K.K.

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Classical electrodynamics: lecture notes von Likharev, K. K

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Rapid single flux quantum T-flip flop operating up to 770 GHz von Chen, W., Rylyakov, A.V., Patel, V., Lukens, J.E., Likharev, K.K.

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Classical electrodynamics: problems with solutions von Likharev, K. K

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Nanoscale field-effect transistors: An ultimate size analysis von Pikus, F. G., Likharev, K. K.

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