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Poster Session A: Tuesday, August 12, 1:30 – 4:30 pm, de Brug & E‑Hall

The Influence of Expectations on Recurrent Processing During Challenging Image Recognition

Paulo A. Ortiz¹, Lea-Maria Schmitt², Floris P De Lange³; ¹Donders Institute for Brain, Cognition and Behaviour, ²Donders Institute , ³Radboud University

Presenter: Paulo A. Ortiz

Recent work on challenging visual conditions has highlighted the role of recurrent processing in supporting robust perception. Predictive processing frameworks propose that prior knowledge plays a role in disambiguating sensory input, potentially reducing the need for recurrence under strong expectations. In an object recognition paradigm, we examined whether expectations influence neural processing of challenging and non-challenging visual input. Using recent adversarial attack techniques, we generated a set of perceptually challenging stimuli. We then created perceptual expectations for some stimuli by presenting them in a predictable order. Preliminary behavioral data suggested that stronger expectations enhance both the accuracy and speed of categorical judgement. We will present MEG data that will elucidate how expectations modulate temporal signatures linked to recurrent processing. This work aims to shed light on how predictive mechanisms shape the neural dynamics of robust perception.

Topic Area: Predictive Processing & Cognitive Control

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