Search Results - "Strukov, D."

Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits by Prezioso, M., Mahmoodi, M. R., Bayat, F. Merrikh, Nili, H., Kim, H., Vincent, A., Strukov, D. B.

“…Spiking neural networks, the most realistic artificial representation of biological nervous systems, are promising due to their inherent local training rules…”
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4K-memristor analog-grade passive crossbar circuit by Kim, H., Mahmoodi, M. R., Nili, H., Strukov, D. B.

“…The superior density of passive analog-grade memristive crossbar circuits enables storing large neural network models directly on specialized neuromorphic…”
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Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits by Bayat, F. Merrikh, Prezioso, M., Chakrabarti, B., Nili, H., Kataeva, I., Strukov, D.

“…The progress in the field of neural computation hinges on the use of hardware more efficient than the conventional microprocessors. Recent works have shown…”
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Training and operation of an integrated neuromorphic network based on metal-oxide memristors by Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., Strukov, D. B.

“…A transistor-free metal-oxide memristor crossbar with low device variability is realised and trained to perform a simple classification task, opening the way…”
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Versatile stochastic dot product circuits based on nonvolatile memories for high performance neurocomputing and neurooptimization by Mahmoodi, M. R., Prezioso, M., Strukov, D. B.

“…The key operation in stochastic neural networks, which have become the state-of-the-art approach for solving problems in machine learning, information theory,…”
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Training andoperation of an integrated neuromorphic network based on metal-oxide memristors by Prezioso, M, Merrikh-Bayat, F, Hoskins, B D, Adam, G C, Likharev, K K, Strukov, D B

“…Despite much progress in semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex, with its approximately 10^sup 14^…”
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Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors by Prezioso, M., Merrikh Bayat, F., Hoskins, B., Likharev, K., Strukov, D.

“…Metal-oxide memristors have emerged as promising candidates for hardware implementation of artificial synapses – the key components of high-performance, analog…”
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Lightweight Integrated Design of PUF and TRNG Security Primitives Based on eFlash Memory in 55-nm CMOS by Larimian, S., Mahmoodi, M. R., Strukov, D. B.

“…We present a lightweight, suitable for Internet of Things (IoT) devices, integrated design of physically unclonable function (PUF) and true random number…”
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Combinatorial optimization by weight annealing in memristive hopfield networks by Fahimi, Z., Mahmoodi, M. R., Nili, H., Polishchuk, Valentin, Strukov, D. B.

“…The increasing utility of specialized circuits and growing applications of optimization call for the development of efficient hardware accelerator for solving…”
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Improving Machine Learning Attack Resiliency via Conductance Balancing in Memristive Strong PUFs by Larimian, S., Mahmoodi, M. R., Strukov, D. B.

“…Previous works have shown excellent prospects for implementing strong physical unclonable functions (PUFs) with memristive crossbar circuits. Here we first…”
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Experimental Demonstrations of Security Primitives With Nonvolatile Memories by Mahmoodi, M. R., Strukov, D. B., Kavehei, O.

“…This article provides a comprehensive review of experimental work on security primitives based on emerging and mature nonvolatile memories (NVMs). The focus is…”
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Phenomenological modeling of memristive devices by Merrikh Bayat, F., Hoskins, B., Strukov, D. B.

“…We present a computationally inexpensive yet accurate phenomenological model of memristive behavior in titanium dioxide devices by fitting experimental data…”
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A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit by Chakrabarti, B., Lastras-Montaño, M. A., Adam, G., Prezioso, M., Hoskins, B., Payvand, M., Madhavan, A., Ghofrani, A., Theogarajan, L., Cheng, K.-T., Strukov, D. B.

“…Silicon (Si) based complementary metal-oxide semiconductor (CMOS) technology has been the driving force of the information-technology revolution. However,…”
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The Impact of Device Uniformity on Functionality of Analog Passively-Integrated Memristive Circuits by Fahimi, Z., Mahmoodi, M. R., Klachko, M., Nili, H., Strukov, D. B.

“…Passively-integrated memristors are the most prospective candidates for designing high-speed, energy-efficient, and compact neuromorphic circuits. Despite all…”
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Corrigendum: A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit by Chakrabarti, B, Lastras-Montaño, M A, Adam, G, Prezioso, M, Hoskins, B, Payvand, M, Madhavan, A, Ghofrani, A, Theogarajan, L, Cheng, K-T, Strukov, D B

“…This corrects the article DOI: 10.1038/srep42429…”
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Model-based high-precision tuning of NOR flash memory cells for analog computing applications by Bayat, F. Merrikh, Guo, X., Klachko, M., Do, N., Likharev, K., Strukov, D.

“…High-precision individual cell tuning was experimentally demonstrated, for the first time, in analog integrated circuits redesigned from a commercial NOR flash…”
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Redesigning commercial floating-gate memory for analog computing applications by Bayat, F. Merrikh, Guo, X., Om'mani, H. A., Do, N., Likharev, K. K., Strukov, D. B.

“…We have modified a commercial NOR flash memory array to enable high-precision tuning of individual floating-gate cells for analog computing applications. The…”
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Hybrid CMOS/memristor circuits by Strukov, D B, Stewart, D R, Borghetti, J, Li, X, Pickett, M, Ribeiro, G M, Robinett, W, Snider, G, Strachan, J P, Wu, W, Xia, Q, Yang, J J, Williams, R S

“…This is a brief review of recent work on the prospective hybrid CMOS/memristor circuits. Such hybrids combine the flexibility, reliability and high…”
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Nanoelectronic neurocomputing: Status and prospects by Ceze, L., Hasler, J., Likharev, K. K., Seo, J.-S, Sherwood, T., Strukov, D., Xie, Y., Yu, S.

“…Potential advantages of specialized hardware for neuromorphic computing had been recognized several decades ago (see, e.g., Refs. [1, 2]), but the need for it…”
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Three-dimensional inhomogeneous thermal fields of the “Photon-Amur 2.0” payload electronic board developed for nanosatellites by Fomin, D. V., Barulinа, M. A., Golikov, A. V., Strukov, D. O., German, A. S., Ogorodnikov, A. A.

“…The thermal fields of the Photon-Amur 2.0 payload electronic board developed for nanosatellites were studied. The Photon-Amur 2.0 payload consists of an…”
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