Probing machine-learning classifiers using noise, bubbles, and reverse correlation

Etienne Thoret, Thomas Andrillon, Damien Léger, Daniel Pressnitzer Abstract Many scientific fields now use machine-learning tools to assist with complex classification tasks. In neuroscience, automatic classifiers may be useful to diagnose medical images, monitor electrophysiological signals, or decode perceptual and cognitive states from neural signals. Tools such as deep neural networks regularly outperform humans with […]

New addition to our HAL archive

Interspecific behavioural synchronization: dogs exhibit locomotor synchrony with humans Charlotte Duranton, Thierry Bedossa, Florence Gaunet. Behavioural synchronization is widespread among living beings, including humans. Pairs of humans synchronize their behaviour in various situations, such as walking together. Affiliation between dyadic partners is known to promote behavioral synchronization. Surprisingly, however, interspecific synchronization has recived little scientific […]