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The dynamics of Repetition Suppression: MEG data, Prediction Error, and a Neural Network model (Oral Presentation)
13th Annual Meeting of the Organization for Human Brain Mapping, S29
Year of publication:
Source-reconstructed MEG data from a long-lag face repetition paradigm suggest that repetition suppression (RS) in midfusiform cortex emerges subsequent to its initial face-specific response (M170). According to predictive coding models of perception, RS may reflect a faster reduction in prediction error following prior processing. A reduction of prediction error in the fusiform implicates additional "higher" regions in face processing, from which re-entrant predictions may take time to evolve. A simple two-layer dynamical neural network model is sketched that shows similar qualitative patterns. If correct, such a model questions the use of (long-lag) RS to localise representations in the brain.