Analyser de larges volumes de données neurobiologiques : modèles émergents bio-inspirés
Seminar at the Emergences (PEPR AI) workshop, Autrans, France
- Related papers(2016). Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1. Frontiers in Neural Circuits.(2023). A Robust Event-Driven Approach to Always-on Object Recognition. In revision.(2023). Learning heterogeneous delays in a layer of spiking neurons for fast motion detection. Biological Cybernetics.(2023). Cortical recurrence supports resilience to sensory variance in the primary visual cortex. Nature Communications Biology.
Laurent U Perrinet
Researcher in Computational Neuroscience
My research interests include Machine Learning and computational neuroscience applied to Vision.