dynamics

Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network
see Kaplan and al, 2014
Apr 25, 2014
PDF Cite DOI
Axonal delays and on-time control of eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
Jan 10, 2014
PDF Cite
Grabbing, tracking and sniffing as models for motion detection and eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
Jan 27, 2012
PDF Cite
Motion-based prediction is sufficient to solve the aperture problem
In low-level sensory systems, it is still unclear how the noisy information collected locally by neurons may give rise to a coherent …
Jan 12, 2012
PDF Cite
Propriétés émergentes d'un modèle de prédiction probabiliste utilisant un champ neural
Sensory informations such as visual images are inherently variable. We use probabilistic models to describe how the low-level visual …
Jul 2, 2011
PDF Cite
Probabilistic models of the low-level visual system: the role of prediction in detecting motion
Sensory informations such as visual images are inherently variable. We use probabilistic models to describe how the low-level visual …
Dec 17, 2010
PDF Cite
Models of low-level vision: linking probabilistic models and neural masses
see this more recent talk @ UCL, London
Jan 8, 2010
PDF Cite