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Related Experiment Video

Updated: Feb 23, 2026

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
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Prior expectations induce prestimulus sensory templates.

Peter Kok1,2,3, Pim Mostert4, Floris P de Lange4

  • 1Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, The Netherlands; peter.kok@yale.edu.

Proceedings of the National Academy of Sciences of the United States of America
|September 14, 2017
PubMed
Summary
This summary is machine-generated.

Expectations prime the brain for upcoming sensory input, creating neural templates before stimuli arrive. This predictive coding mechanism enhances behavioral performance for relevant stimuli.

Keywords:
feature-based attentionfeature-based expectationperceptual inferencepredictionpredictive coding

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Perception Research

Background:

  • Perception integrates sensory data with prior expectations.
  • Neural mechanisms underlying expectation-driven perception remain unclear.
  • Previous fMRI studies show expectation-related activation but lack temporal resolution.

Purpose of the Study:

  • To investigate the neural implementation of expectation in perception.
  • To determine if expectations preactivate neural representations of stimuli.
  • To link prestimulus neural activity to behavioral outcomes.

Main Methods:

  • Combined magnetoencephalography (MEG) with multivariate decoding.
  • Analyzed neural signals in a time-resolved manner.
  • Investigated prestimulus neural activity related to expectations.

Main Results:

  • Identified stimulus-specific neural representations prior to stimulus presentation.
  • Demonstrated that expectations induce preactivation of neural templates.
  • Found correlation between prestimulus template strength and behavioral improvement.

Conclusions:

  • Expectations actively shape neural processing before sensory input.
  • Prestimulus neural activity reflects predictive coding mechanisms.
  • This provides insight into the neural basis of predictive perception.