Predictive coding for the actions and emotions of others and its deficits in autism spectrum disorders

Autor(en)

Christian Keysers, Giorgia Silani, Valeria Gazzola

Abstrakt

Traditionally, the neural basis of social perception has been studied by showing participants brief examples of the actions or emotions of others presented in randomized order to prevent participants from anticipating what others do and feel. This approach is optimal to isolate the importance of information flow from lower to higher cortical areas. The degree to which feedback connections and Bayesian hierarchical predictive coding contribute to how mammals process more complex social stimuli has been less explored, and will be the focus of this review. We illustrate paradigms that start to capture how participants predict the actions and emotions of others under more ecological conditions, and discuss the brain activity measurement methods suitable to reveal the importance of feedback connections in these predictions. Together, these efforts draw a richer picture of social cognition in which predictive coding and feedback connections play significant roles. We further discuss how the notion of predicting coding is influencing how we think of autism spectrum disorder.

Organisation(en)

Institut für Klinische und Gesundheitspsychologie

Externe Organisation(en)

University of Amsterdam (UvA), Royal Netherlands Academy of Arts and Sciences

Journal

Neuroscience and Biobehavioral Reviews

Band

167

Anzahl der Seiten

14

ISSN

0149-7634

DOI

https://doi.org/10.1016/j.neubiorev.2024.105877

Publikationsdatum

09-2024

Peer-reviewed

Ja

ÖFOS 2012

501011 Kognitionspsychologie, 106025 Neurobiologie

Schlagwörter

ASJC Scopus Sachgebiete

Neuropsychology and Physiological Psychology, Cognitive Neuroscience, Behavioral Neuroscience

Link zum Portal

https://ucrisportal.univie.ac.at/de/publications/predictive-coding-for-the-actions-and-emotions-of-others-and-its-deficits-in-autism-spectrum-disorders(23c98784-5eb5-4683-9cc8-e13069cd61ef).html