144 citations · 506 across the 16 of their papers we have counts for
16 papers
Real-Time Smart Self-Mixing Interferometry Sensor With Embedded Neural Network
Pierre-Emmanuel Novac, Laurent Rodriguez, Stéphane Barland
Self-mixing interferometry is a measurement ap- proach in which a laser beam is re-injected into the emitting laser itself after reflection on a target. Information about the posit…
Extreme events generated in microcavity lasers and their predictions by reservoir computing
T. Wang, H. X. Zhou, Q. Fang +8
Extreme events generated by complex systems have been intensively studied in many fields due to their great impact on scientific research and our daily lives. However, their predic…
High-availability displacement sensing with multi-channel self mixing interferometry
Robin Matha, Stephane Barland, François Gustave
Laser self-mixing is in principle a simple and robust general purpose interferometric method, with the additional expressivity which results from nonlinearity. However, it is rathe…
Convolutional neural network for self-mixing interferometric displacement sensing
Stéphane Barland, François Gustave
Self mixing interferometry is a well established interferometric measurement technique. In spite of the robustness and simplicity of the concept, interpreting the self-mixing signa…
Success rate analysis of the response of an excitable laser to periodic perturbations
Jordi Tiana-Alsina, Bruno Garbin, Stephane Barland +1
We use statistical tools to characterize the response of an excitable system to periodic perturbations. The system is an optically injected semiconductor laser under pulsed perturb…
Resonator neuron and triggering multipulse excitability in laser with injected signal
Axel Dolcemascolo, Bruno Garbin, Bertand Peyce +2
Semiconductor lasers with coherent forcing are expected to behave similarly to simple neuron models in response to external perturbations, as long as the physics describing them ca…