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2020 – today
- 2023
[j3]Amir Masominia, Laurie E. Calvet
, Simon Thorpe, Sylvain Barbay:
Online spike-based recognition of digits with ultrafast microlaser neurons. Frontiers Comput. Neurosci. 17 (2023)- [c4]Zonglong Li, Laurie E. Calvet:
Extraction of ECG features with spiking neurons for decreased power consumption in embedded devices. SMACD 2023: 1-4
2010 – 2019
- 2019
- [j2]Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz:
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access 7: 73938-73953 (2019) - 2018
- [c3]Mike Schwarz, Laurie E. Calvet, John P. Snyder, Tillmann Krauss, Udo Schwalke, Alexander Kloes:
Process and Device Simulation of Schottky Barrier MOSFETs for Analysis of Current Injection. MIXDES 2018: 67-72 - 2017
- [c2]Mike Schwarz, John P. Snyder, Tillmann Krauss, Udo Schwalke, Laurie E. Calvet, Alexander Kloes:
Simulation framework for barrier lowering in Schottky barrier MOSFETs. MIXDES 2017: 149-153 - 2016
- [j1]Joseph S. Friedman, Laurie E. Calvet, Pierre Bessière, Jacques Droulez, Damien Querlioz:
Bayesian Inference With Muller C-Elements. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(6): 895-904 (2016) - [c1]Laurie E. Calvet, Joseph S. Friedman, Damien Querlioz, Pierre Bessière, Jacques Droulez:
Sleep stage classification with stochastic Bayesian inference. NANOARCH 2016: 117-122
Coauthor Index
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