Codde | Laurent Perrinet

Compensation of oculomotor delays in the visual system's network

Fri, 01 Jan 2016 00:00:00 +0000

Active inference, eye movements and oculomotor delays

Tue, 01 Jan 2013 00:00:00 +0000

Active inference, eye movements and oculomotor delays

Tue, 01 Jan 2013 00:00:00 +0000

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

Wed, 01 Aug 2012 00:00:00 +0000

Active inference, smooth pursuit and oculomotor delays

Sun, 01 Jan 2012 00:00:00 +0000

Effect of image statistics on fixational eye movements

Sun, 01 Jan 2012 00:00:00 +0000

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

Sun, 01 Jan 2012 00:00:00 +0000

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

Sun, 01 Jan 2012 00:00:00 +0000

Band-pass motion stimuli for perception and action tasks. (a) In the space representing temporal against spatial frequency, each line going through the origin corresponds to stimuli moving at the same speed. A simple drifting grating is a single point in this space. Our moving texture stimuli had their energy distributed within an ellipse elongated along a given speed line, keeping constant the mean spatial and temporal frequencies. The spatio-temporal bandwidth was manipulated by co-varying Bsf and Btf as illustrated by the (x,y,t) examples. Human performance was measured for two different tasks, run in parallel blocks. (b) For ocular tracking, motion stimuli were presented for a short duration (200ms) in the wake of a centering saccade to control both attention and fixation states. (c) For speed discrimination, test and reference stimuli were presented successively for the same duration and subjects were instructed to indicate whether the test stimulus was perceived as slower or faster than reference.

Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference

Fri, 22 Apr 2011 00:00:00 +0000

See a followup in
Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation.
PDF Cite Pdf arXiv Doi

A recurrent Bayesian model of dynamic motion integration for smooth pursuit

Fri, 01 Jan 2010 00:00:00 +0000

Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation

Fri, 01 Jan 2010 00:00:00 +0000