Visual Mismatch and Predictive Coding: A Computational Single-Trial ERP Study

• Published in: The Journal of neuroscience Vol. 38; no. 16; pp. 4020 - 4030
• Main Authors: Stefanics, Gabor, Heinzle, Jakob, Horváth, András Attila, Stephan, Klaas Enno
• Format: Journal Article
• Language: English
• Published: United States Society for Neuroscience 18.04.2018
• Subjects: Adult; Bayes Theorem; Bayesian analysis; Brain; Cerebral Cortex - physiology; Change detection; Coding; Color; Computation; Computational neuroscience; Computer simulation; Emotions; Event-related potentials; Evoked Potentials, Visual; Female; Humans; Male; Mismatch negativity; Models, Neurological; Neural coding; Personal computers; Predictions; Scalp; Subtraction; Visual Perception; Bayesian inference; computational modeling; visual MMN; EEG; precision-weighted prediction error
• ISSN: 0270-6474; 1529-2401; 1529-2401
• DOI: 10.1523/JNEUROSCI.3365-17.2018

Predictive coding (PC) posits that the brain uses a generative model to infer the environmental causes of its sensory data and uses precision-weighted prediction errors (pwPEs) to continuously update this model. While supported by much circumstantial evidence, experimental tests grounded in formal t...