30.06.2016: Yulia Sandamirskaya

Dynamic Neural Fields: from modelling visual cognition to neuromorphic


The mathematical and conceptual framework of dynamic neural fields
(DNFs) captures the dynamics of large homogeneous neuronal populations
and allows to understand how neuronal dynamics give rise to cognitive
processes, such as working memory, selection decisions, or
stabilisation of perceptual and intentional sates, required for robust
autonomous learning. In this talk, I will survey over the
psychophysical findings that can be modelled with dynamic neural
fields and will demonstrate how DNF architectures can be coupled to
sensors and motors of a robotic agent using neuromorphic hardware
leading to a goal-directed behaviour in real-world environments.