Louise Kauffmann

Many thanks to 2 anonymous reviewers for their helpful and constructive comments on the earlier version of the manuscript!

These findings support predictive processing theories according to which the relative weight of predictions over the processing of sensory inputs varies with their reliability. They also reveal reciprocal influences between context- and object-based predictions in shaping visual perception.

Our findings show that predictable objects and scenes were perceived as sharper than unpredictable ones. Perceptual sharpening emerged mainly when inputs were degraded (blurred) and scaled with the robustness of predictions.

In our second experiment, we manipulated the availability of object-based predictions about blurred scene contexts by embedding either an intact object (predictable context) or a fully phase-scrambled object (unpredictable context).

In our first experiment, blurred objects were embedded in a scene context. We manipulated the robustness of context-based predictions about the object by scrambling the scene’s phase spectrum at different levels.

We evaluated the perceived sharpness of blurred scenes and objects using a perceptual matching task (adjust the blur of the right image to match the left one).

Following our previous studies showing that scene-based predictions sharpen the perception of blurred objects, this study further asks whether this effect scales with the robustness of predictions and whether object-based predictions reciprocally sharpen the perception of scene context

Effects of predictions robustness and object-based predictions on subjective visual perception - Attention, Perception, & Psychophysics Learned regularities about contextual associations between objects and scenes allow us to form predictions about the likely features of the environment, facilitating perception of noisy visual inputs....

Happy to share @c-carrez-corral.bsky.social 1st PhD paper with Pauline Rossel & Carole Peyrin which is now online at link.springer.com/article/10.3... in Attention, Perception & Psychophysics! Thread below👇

YouTube video by LPNC - Laboratoire de Psychologie & NeuroCognition Rencontres Jeunes Chercheur·euses 2025 !

Les Rencontres Jeunes chercheur.euses organisées par nos super doctorant.es au LPNC et LIP/PC2S on commencé! A suivre en direct sur www.youtube.com/watch?v=5gbg...
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Using AI to decode language from the brain and advance our understanding of human communication Today, in collaboration with the Basque Center on Cognition, Brain and Language, we’re excited to share two breakthroughs that show how AI can help advance our understanding of human intelligence, le...

C'est Franceinfo qui a craqué c'est bien un MEG et meta est juste à l'origine de l'IA qui traduit l'activité neuro en texte (et même ça c'est pas si nouveau même si peut-être pas à un niveau aussi avancé) ai.meta.com/blog/brain-a...