1 citations · 1 across the 5 of their papers we have counts for
7 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…
A Saccade-inspired Approach to Image Classification using Vision Transformer Attention Maps
Matthis Dallain, Laurent Rodriguez, Laurent Udo Perrinet +1
Human vision achieves remarkable perceptual performance while operating under strict metabolic constraints. A key ingredient is the selective attention mechanism, driven by rapid s…
Integrating embedded neural networks and self-mixing interferometry for smart sensors design
Pierre-Emmanuel Novac, Laurent Rodriguez, Stéphane Barland
Self-mixing interferometry is a measurement approach in which a laser beam is re-injected into the emitting laser itself after reflection on a target. Information about the positio…
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model
Artem Muliukov, Laurent Rodriguez, Benoit Miramond
Recent progress in the fields of AI and cognitive sciences opens up new challenges that were previously inaccessible to study. One of such modern tasks is recovering lost data of o…
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models
Artem R. Muliukov, Laurent Rodriguez, Benoit Miramond +4
The field of artificial intelligence has significantly advanced over the past decades, inspired by discoveries from the fields of biology and neuroscience. The idea of this work is…
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Lyes Khacef, Laurent Rodriguez, Benoit Miramond
The Self-Organizing Map (SOM) is a brain-inspired neural model that is very promising for unsupervised learning, especially in embedded applications. However, it is unable to learn…
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
Lyes Khacef, Laurent Rodriguez, Benoit Miramond
Cortical plasticity is one of the main features that enable our ability to learn and adapt in our environment. Indeed, the cerebral cortex self-organizes itself through structural…