From the retina to action: Predictive processing in the visual system


Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about the environment. This process is constrained by various factors such as a wide variety of changes in the characteristics of the visual image but also by the necessity to be able to respond as quickly as possible to the incoming sensory stream, for instance to drive a movement of the eyes to the location of a potential danger. To achieve this, it is believed that the visual system takes advantage of the existence of a priori knowledge in the structure of visual information, such as the regularity in the shape and motion of visual objects. As such, the predictive coding coding framework offers a unified theory to explain many of the mechanisms at the different levels of the visual system and which were unveiled by decades of study in neurophysiology and psychophysics.

Mar 25, 2019 2:30 PM
Toulouse (France)
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Victor Boutin
Victor Boutin
Phd in Computational Neuroscience

During my PhD, I focused on predictive coding in bio-inspired neural networks.

Angelo Franciosini
Angelo Franciosini
Phd candidate in Computational Neuroscience

During my PhD, I am focusing on predictive coding in a bio-inspired neural network.

Laurent U Perrinet
Laurent U Perrinet
Researcher in Computational Neuroscience

My research interests include Machine Learning and computational neuroscience applied to Vision.