CODDE (2008/2012)

The CODDE network studies the links between sensory input, brain activity and motor output. It does this by combining behavioural techniques, brain imaging, movement recording and computational modelling.

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Laurent U Perrinet
Researcher in Computational Neuroscience

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

Publications

Compensation of oculomotor delays in the visual system's network

We consider the problem of sensorimotor delays in the optimal control of movement under un- certainty. Specifically, we consider axonal …

Active inference, eye movements and oculomotor delays

We consider the problem of sensorimotor delays in the optimal control of movement under un- certainty. Specifically, we consider axonal …

Active inference, eye movements and oculomotor delays

We consider the problem of sensorimotor delays in the optimal control of movement under un- certainty. Specifically, we consider axonal …

Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception

The visual system does not process information instantaneously, but rather integrates over time. Integration occurs both for stationary …

Active inference, smooth pursuit and oculomotor delays

We consider the problem of sensorimotor delays in the optimal control of movement under uncertainty. Specifically, we consider axonal …

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities

Most studies on the dynamics of recurrent cortical networks are either based on purely random wiring or neighborhood couplings. …

Effect of image statistics on fixational eye movements

Under natural viewing conditions, small movements of the eyes prevent the maintenance of a steady direction of gaze. It is unclear how …

More is not always better: dissociation between perception and action explained by adaptive gain control

Moving objects generate motion information at different scales, which are processed in the visual system with a bank of spatiotemporal …

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 …

Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize

In order to analyze the characteristics of a rich dynamic visual environment, the visual system must integrate information collected at …

Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference

Accuracy in estimating an object’s global motion over time is not only affected by the noise in visual motion information but …