Motion-based prediction with neuromorphic hardware
Universidad Técnica Federico Santa María, Valparaíso, Chile
- November 5th, 2015
- Laurent U. Perrinet. Motion-based prediction with neuromorphic hardware, URL . In Universidad Técnica Federico Santa María, Valparaíso, Chile, November 5th, 2015, 2015 abstractWe stand at a point in history where our phones have become smart but lack a feature which prevails in most forms of living intelligence: vision. The ability to see is indeed an essential facet of intelligence which is developed in an autonomous manner even in young human infants. I will focus here on a particular problem: how do we estimate motion in a visual image? I will explain why for this problem, it is crucial to understand how the visual system might overcome temporal delays and will demonstrate at different levels of description ---from probabilistic models to neuromorphic hardware--- a surprising solution: The visual system models the world and uses the eye to probe this model.
All material (c) L. Perrinet. Please check the copyright notice.
This work was supported by ANR project "BalaV1" N° ANR-13-BSV4-0014-02.