Michael Louis Mack

The paper uses fMRI and computational models to identify neural mechanisms for memory creation and updating during learning, finding distinct hippocampal involvement in learning outcomes.

The paper shows neural working memory representations dynamically reconfigure during task performance to support different task goals, becoming more task-dependent over time.

The paper uses pathway footprints to show that hippocampal pathways encode regularities and exceptions differently during learning.

This study quantifies human hippocampal white matter pathways in vivo using diffusion weighted imaging and a large sample, revealing monosynaptic and trisynaptic connections and linking pathway variability to cognitive abilities.

The paper shows that concept learning creates attentional templates that guide attention during tasks, with better learning performance leading to faster responses to relevant probes.

The paper shows children use differentiated hippocampal representations for related memories, while adults use integrated representations in medial prefrontal cortex, supporting different memory reinstatement strategies across development.

The paper examines how hippocampal white matter structure relates to category learning in humans, finding a specific link between CA3-CA1 connectivity and exception learning.

The paper introduces scene wheels, a method to control visual properties of natural scenes using GANs, and validates their use in assessing perceptual and mnemonic representations through behavioral experiments.

This study shows that neural compression in the ventromedial prefrontal cortex during learning predicts the ability to focus on relevant information.

This study evaluates two semi-automated hippocampal subfield segmentation methods across different age groups in a pediatric sample, finding negligible age-related differences in subfield validity.