Behavioural and brain activation differences in Hierarchical Bayesian Inference across Age

Abstract

Hierarchical causal relations underlie state changes in dynamic environments. These relations could beencoded in the brain hierarchically and optimal inference occurs via Bayesian estimation of the context ofincoming sensory evidence. The neural correlates of Hierarchical Bayesian Inference (HBI) and theirchanges across age are not well elucidated. Thus, we examined the neural encoding of HBI across age groups in a probabilistic task during an EEG recording.

Publication
Zhang, J., Lim, W., & Chen, S. A. (2024, June 24-27). Behavioural and brain activation differences in Hierarchical Bayesian Inference across Age [Poster presentation]. Organization for Human Brain Mapping 30th Annual Meeting, Seoul, South Korea.
Vae Zhang Jiayi
Vae Zhang Jiayi
Ph.D Student
Wilson Lim
Wilson Lim
Research Associate & Coordinator for Educational Neuroscience Projects

Wilson is currently a Research Associate at the Clinical Brain Lab.

Annabel Chen
Annabel Chen
Professor of Psychology
Lab Director

Dr. SH Annabel Chen is a clinical neuropsychologist, and currently a Faculty member of Psychology at the School of Social Sciences.

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