Moritz F. Wurm

The paper uses fMRI to analyze how brain networks process action, object, and mental state information, finding overlapping networks in left-lateralized regions that integrate conceptual and mentalizing information.

The paper investigates how neural processing of biological motion is shaped by low- and high-level priors using dynamic representational similarity analysis on MEG data.

This study investigates how the human brain decodes physical action features by analyzing neural responses in parietal cortex and LOTC to different types of action stimuli.

This study investigates how the brain represents motion events based on agentive versus physical forces using fMRI and multivariate pattern analysis, finding shared and distinct neural representations in different brain regions.

The paper identifies brain regions that represent action goals independently of outcomes using fMRI and multivariate pattern analysis.

This paper introduces a dynamic extension to representational similarity analysis to study predictive neural representations in naturalistic dynamic input using MEG data.

This study identifies a shared neural code across brain regions for both action and object events, showing that these regions encode event structure and physics regardless of animacy.

The paper investigates how global and local information interact in predictive processing using EEG, finding that global models better explain the data than local models.

The paper examines the neural representation of observed actions using fMRI and finds that lateral occipitotemporal cortex and left posterior inferior parietal lobe capture the semantic dissimilarity structure of actions.

This study uses fMRI and RSA to show that lateral occipitotemporal cortex encodes perceptual components of social actions, not abstract representations of sociality.

The paper shows that the inferior intraparietal sulcus uses a common neural mechanism for individuating both connected object parts and distinct objects, independent of their connectivity.

The paper identifies distinct functional profiles in temporal and frontoparietal cortex for representing actions across vision and language using fMRI-based MVPA.

The paper investigates the hand action observation network in individuals born without hands, finding an intact network despite lacking the corresponding motor experience.