| Training and operation of an integrated neuromorphic network based on metal-oxide memristors M Prezioso, F Merrikh-Bayat, BD Hoskins, GC Adam, KK Likharev, ... Nature 521 (7550), 61-64, 2015 | 2977 | 2015 |
| Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits FM Bayat, M Prezioso, B Chakrabarti, H Nili, I Kataeva, D Strukov Nature communications 9 (1), 2331, 2018 | 425 | 2018 |
| 3-D memristor crossbars for analog and neuromorphic computing applications GC Adam, BD Hoskins, M Prezioso, F Merrikh-Bayat, B Chakrabarti, ... IEEE Transactions on Electron Devices 64 (1), 312-318, 2016 | 244 | 2016 |
| Self-adaptive spike-time-dependent plasticity of metal-oxide memristors M Prezioso, F Merrikh Bayat, B Hoskins, K Likharev, D Strukov Scientific reports 6 (1), 21331, 2016 | 243 | 2016 |
| Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits M Prezioso, MR Mahmoodi, FM Bayat, H Nili, H Kim, A Vincent, ... Nature communications 9 (1), 5311, 2018 | 216 | 2018 |
| Fast, energy-efficient, robust, and reproducible mixed-signal neuromorphic classifier based on embedded NOR flash memory technology X Guo, FM Bayat, M Bavandpour, M Klachko, MR Mahmoodi, M Prezioso, ... 2017 IEEE International Electron Devices Meeting (IEDM), 6.5. 1-6.5. 4, 2017 | 214 | 2017 |
| Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors H Nili, GC Adam, B Hoskins, M Prezioso, J Kim, MR Mahmoodi, FM Bayat, ... Nature Electronics 1 (3), 197-202, 2018 | 198 | 2018 |
| High-performance mixed-signal neurocomputing with nanoscale floating-gate memory cell arrays F Merrikh-Bayat, X Guo, M Klachko, M Prezioso, KK Likharev, DB Strukov IEEE transactions on neural networks and learning systems 29 (10), 4782-4790, 2017 | 178 | 2017 |
| Memristor-based circuits for performing basic arithmetic operations F Merrikh-Bayat, SB Shouraki Procedia Computer Science 3, 128-132, 2011 | 144 | 2011 |
| Efficient training algorithms for neural networks based on memristive crossbar circuits I Kataeva, F Merrikh-Bayat, E Zamanidoost, D Strukov 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 116 | 2015 |
| Deep learning neural network classifier using non-volatile memory array FM Bayat, X Guo, D Strukov, N Do, H Van Tran, V Tiwari, M Reiten US Patent 11,308,383, 2022 | 109 | 2022 |
| Temperature-insensitive analog vector-by-matrix multiplier based on 55 nm NOR flash memory cells X Guo, FM Bayat, M Prezioso, Y Chen, B Nguyen, N Do, DB Strukov 2017 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2017 | 92 | 2017 |
| Modeling and experimental demonstration of a Hopfield network analog-to-digital converter with hybrid CMOS/memristor circuits X Guo, F Merrikh-Bayat, L Gao, BD Hoskins, F Alibart, B Linares-Barranco, ... Frontiers in neuroscience 9, 488, 2015 | 79 | 2015 |
| Memristor crossbar-based hardware implementation of the IDS method F Merrikh-Bayat, SB Shouraki, A Rohani IEEE Transactions on Fuzzy Systems 19 (6), 1083-1096, 2011 | 76 | 2011 |
| Phenomenological modeling of memristive devices F Merrikh Bayat, B Hoskins, DB Strukov Applied Physics A 118, 779-786, 2015 | 74 | 2015 |
| Modeling and implementation of firing-rate neuromorphic-network classifiers with bilayer Pt/Al2O3/TiO2− x/Pt memristors M Prezioso, I Kataeva, F Merrikh-Bayat, B Hoskins, G Adam, T Sota, ... 2015 IEEE International electron devices meeting (IEDM), 17.4. 1-17.4. 4, 2015 | 65 | 2015 |
| Redesigning commercial floating-gate memory for analog computing applications FM Bayat, X Guo, HA Om'Mani, N Do, KK Likharev, DB Strukov 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 1921-1924, 2015 | 62 | 2015 |
| Memristive neuro-fuzzy system F Merrikh-Bayat, SB Shouraki IEEE transactions on cybernetics 43 (1), 269-285, 2012 | 60 | 2012 |
| Digital-to-analog and analog-to-digital conversion with metal oxide memristors for ultra-low power computing L Gao, F Merrikh-Bayat, F Alibart, X Guo, BD Hoskins, KT Cheng, ... 2013 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2013 | 58 | 2013 |
| Manhattan rule training for memristive crossbar circuit pattern classifiers E Zamanidoost, FM Bayat, D Strukov, I Kataeva 2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP …, 2015 | 48 | 2015 |
Dmitri StrukovProfessor of Electrical and Computer Engineering, University of California, Santa BarbaraVerified email at ece.ucsb.edu
