| Face classification using electronic synapses P Yao, H Wu, B Gao, SB Eryilmaz, X Huang, W Zhang, Q Zhang, N Deng, ... Nature communications 8 (1), 1-8, 2017 | 380 | 2017 |
| Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array SB Eryilmaz, D Kuzum, R Jeyasingh, SB Kim, M BrightSky, C Lam, ... Frontiers in neuroscience 8, 205, 2014 | 148 | 2014 |
| Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures SB Eryilmaz, D Kuzum, S Yu, HSP Wong 2015 IEEE International Electron Devices Meeting, 4.1.1-4, 2015 | 77 | 2015 |
| Hyperdimensional computing with 3D VRRAM in-memory kernels: Device-architecture co-design for energy-efficient, error-resilient language recognition H Li, TF Wu, A Rahimi, KS Li, M Rusch, CH Lin, JL Hsu, MM Sabry, ... 2016 IEEE International Electron Devices Meeting (IEDM), 16.1. 1-16.1. 4, 2016 | 59 | 2016 |
| Four-layer 3D vertical RRAM integrated with FinFET as a versatile computing unit for brain-inspired cognitive information processing H Li, KS Li, CH Lin, JL Hsu, WC Chiu, MC Chen, TT Wu, J Sohn, ... 2016 IEEE Symposium on VLSI Technology, 1-2, 2016 | 50 | 2016 |
| Experimental demonstration of array-level learning with phase change synaptic devices SB Eryilmaz, D Kuzum, RGD Jeyasingh, SB Kim, M BrightSky, C Lam, ... 2013 IEEE International Electron Devices Meeting, 25.5. 1-25.5. 4, 2013 | 42 | 2013 |
| Stanford memory trends HSP Wong, C Ahn, J Cao, HY Chen, SW Fong, Z Jiang, C Neumann, ... tech. report, 2016 | 41 | 2016 |
| Training a probabilistic graphical model with resistive switching electronic synapses SB Eryilmaz, E Neftci, S Joshi, SB Kim, M BrightSky, HL Lung, C Lam, ... IEEE Transactions on Electron Devices 63 (12), 5004-5011, 2016 | 35 | 2016 |
| Neuromorphic architectures with electronic synapses SB Eryilmaz, S Joshi, E Neftci, W Wan, G Cauwenberghs, HSP Wong 2016 17th International Symposium on Quality Electronic Design (ISQED), 118-123, 2016 | 30 | 2016 |
| 33.1 a 74 tmacs/w cmos-rram neurosynaptic core with dynamically reconfigurable dataflow and in-situ transposable weights for probabilistic graphical models W Wan, R Kubendran, SB Eryilmaz, W Zhang, Y Liao, D Wu, S Deiss, ... 2020 IEEE International Solid-State Circuits Conference-(ISSCC), 498-500, 2020 | 10 | 2020 |
| Plasmonic nanoslit array enhanced metal–semiconductor–metal optical detectors SB Eryilmaz, O Tidin, AK Okyay IEEE Photonics Technology Letters 24 (7), 548-550, 2012 | 9 | 2012 |
| Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array. Front Neurosci-Switz SB Eryilmaz, D Kuzum, R Jeyasingh, S Kim, M BrightSky, C Lam, ... | 6 | 2014 |
| Phase change memory R Jeyasingh, EC Ahn, B Eryilmaz, S Fong, PW HS Emerg. Nanoelectron. Devices, 78-109, 2015 | 5 | 2015 |
| Capacity optimization of emerging memory systems: A shannon-inspired approach to device characterization JH Engel, SB Eryilmaz, SB Kim, M BrightSky, C Lam, HL Lung, ... 2014 IEEE International Electron Devices Meeting, 29.4. 1-29.4. 4, 2014 | 5 | 2014 |
| Thermal characterization of nanostructured superlattices of TiN/TaN: Applications as electrodes in Phase Change Memory A Sood, SB Eryilmaz, R Jeyasingh, J Cho, M Asheghi, HSP Wong, ... Fourteenth Intersociety Conference on Thermal and Thermomechanical Phenomena …, 2014 | 5 | 2014 |
| Analog coding in emerging Memory Systems RV Zarcone, JH Engel, SB Eryilmaz, W Wan, SB Kim, M BrightSky, C Lam, ... Scientific reports 10 (1), 1-13, 2020 | 4 | 2020 |
| Supervised classification-based stock prediction and portfolio optimization S Arik, SB Eryilmaz, A Goldberg arXiv preprint arXiv:1406.0824, 2014 | 2 | 2014 |
| Opportunities for analog coding in emerging memory systems JH Engel, SB Eryilmaz, SB Kim, M BrightSky, C Lam, HL Lung, ... arXiv preprint arXiv:1701.06063, 2017 | 1 | 2017 |
| Experimental demonstration of array-level learning with phase change synaptic devices S Burc Eryilmaz, D Kuzum, RGD Jeyasingh, SB Kim, M BrightSky, C Lam, ... arXiv e-prints, arXiv: 1405.7716, 2014 | 1 | 2014 |
| Training and Inference in Hopfield Network Using 10× 10 Phase Change Synaptic Array SB Eryilmaz, HSP Wong Neuro-inspired Computing Using Resistive Synaptic Devices, 99-111, 2017 | | 2017 |
H.-S. Philip WongProfessor of Electrical Engineering, Stanford UniversityVerified email at stanford.edu
