Prezioso, M.
University of California, Santa Barbara
7 papers on CoChatORCID 0000-0002-3318-9132
Most cited papers
- Verified
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., & Strukov, D. B. (2015) · Nature
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 3,001
- Verified
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
Bayat, F. M., Prezioso, M., Chakrabarti, B., Nili, H., Kataeva, I., & Strukov, D. (2018) · Nature Communications
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 377
- Verified
3-D Memristor Crossbars for Analog and Neuromorphic Computing Applications
Adam, G. C., Hoskins, B. D., Prezioso, M., Merrikh-Bayat, F., Chakrabarti, B., & Strukov, D. B. (2017) · IEEE Transactions on Electron Devices
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 234
- Verified
Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
Prezioso, M., Mahmoodi, M. R., Bayat, F. M., Nili, H., Kim, H., Vincent, A., & Strukov, D. B. (2018) · Nature Communications
Advanced Memory and Neural ComputingNeural dynamics and brain function
Cited by 215
- Verified
High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays
Merrikh-Bayat, F., Guo, X., Klachko, M., Prezioso, M., Likharev, K. K., & Strukov, D. B. (2018) · IEEE Transactions on Neural Networks and Learning Systems
Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design
Cited by 167
- Verified
Mixed-Signal Neuromorphic Inference Accelerators: Recent Results and Future Prospects
Bavandpour, M., Mahmoodi, M. R., Nili, H., Bayat, F. M., Prezioso, M., Vincent, A., Strukov, D. B., & Likharev, K. K. (2018) · 2018 IEEE International Electron Devices Meeting (IEDM)
Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design
Cited by 39
- Verified
Memristor-based perceptron classifier: Increasing complexity and coping with imperfect hardware
Bayat, F. M., Prezioso, M., Chakrabarti, B., Kataeva, I., & Strukov, D. (2017) · 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 29
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