The dynamics of motion integration show striking similarities when observed at neuronal,
psychophysical, and oculomotor levels. Based on the inter-relation and complementary …

Although numerous models describe the individual neural mechanisms that may be
involved in the perception of visual motion, few of them have been constructed to take …

We propose a bio-inspired approach to motion estimation based on recent neuroscience
findings concerning the motion pathway. Our goal is to identify the key biological features in …

This article introduces general concepts and definitions related to the notion of
asynchronous computation in the framework of artificial neural networks. Using the dynamic …

Although the spike-trains in neural networks are mainly constrained by the neural dynamics
itself, global temporal constraints (refractoriness, time precision, propagation delays,..) are …

We propose a computational approach using a variational specification of the visual front-
end, where ganglion cells with properties of retinal Konio cells (K-cells), are considered as a …

Revisiting CNFT calculation maps in both the discrete and continuous temporal cases, we
propose a set of results allowing to choose the right set of parameters in order to both (i) …

This thesis addresses the study of motion integration in the primate. Based on anatomical
and functional knowledge of two cortical areas involved in motion perception, namely v1 and …

We propose a bio-inspired approach to motion estimation based on recent neuroscience
findings concerning the motion pathway. Our goal is to identify the key biological features in …

Although the spike-trains in neural networks are mainly constrained by the neural dynamics
itself, global temporal constraints (refractoriness, time precision, propagation delays,..) are …