Sleep stage classification with stochastic Bayesian inference. - Laurie E. Calvet; Joseph S. Friedman; Damien Querlioz; Pierre Bessière; Jacques Droulez (NANOARCH, 2016)

Bayesian Inference With Muller C-Elements. - Joseph S. Friedman; Laurie E. Calvet; Pierre Bessière; Jacques Droulez; Damien Querlioz (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

Simulation framework for barrier lowering in Schottky barrier MOSFETs. - Mike Schwarz; John P. Snyder; Tillmann Krauss; Udo Schwalke; Laurie E. Calvet; Alexander Kloes (MIXDES, 2017)

Process and Device Simulation of Schottky Barrier MOSFETs for Analysis of Current Injection. - Mike Schwarz; Laurie E. Calvet; John P. Snyder; Tillmann Krauss; Udo Schwalke; Alexander Kloes (MIXDES, 2018)

Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. - Christopher H. Bennett; Vivek Parmar; Laurie E. Calvet; Jacques-Olivier Klein; Manan Suri; Matthew J. Marinella; Damien Querlioz (IEEE Access, 2019)

Extraction of ECG features with spiking neurons for decreased power consumption in embedded devices. - Zonglong Li; Laurie E. Calvet (SMACD, 2023)

Online spike-based recognition of digits with ultrafast microlaser neurons. - Amir Masominia; Laurie E. Calvet; Simon Thorpe; Sylvain Barbay (Frontiers Comput. Neurosci., 2023)