Vincent Valton

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Nonlinear Dynamic Causal Modelling (DCM) for fMRI provides computational modelling of gating mechanisms at the neuronal population level. It allows for estimations of connection strengths with nonlinear modulation within task-dependent networks. This paper presents an application of nonlinear DCM in subjects at high familial risk of schizophrenia performing(More)
The ability to recognize a person within a moving crowd is a fairly simple task for human beings. Automated surveillance systems try to replicate this behaviour for many purposes like preventing crime, remote identification, detecting violent behaviours, etc. Much research has been made in the field of video surveillance using multiple cameras and to take(More)
Vision is a sense that humans and most animals rely the most onto. Although this sense seems pretty trivial, the visual stimulus is composed of many different dimensions which makes it very complex to decompose, analyze and understand. Scientists state that roughly half of our brain is used for vision processing, it is therefore a very interesting and(More)
Reinforcement learning theory powerfully characterizes how we learn to benefit ourselves. In this theory, prediction errors-the difference between a predicted and actual outcome of a choice-drive learning. However, we do not operate in a social vacuum. To behave prosocially we must learn the consequences of our actions for other people. Empathy, the ability(More)
UNLABELLED Why are some people strongly motivated by intense sensory experiences? Here we investigated how people encode the value of an intense sensory experience compared with economic reward, and how this varies according to stimulation-seeking preference. Specifically, we used a novel behavioral task in combination with computational modeling to derive(More)
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