Marc N. Coutanche

The paper introduces a method to identify sub-networks of fMRI searchlights based on temporal information changes, revealing brain networks associated with different stimuli.

This study shows that different levels of semantic access during encoding lead to distinct neural reactivation patterns during memory retrieval.

This study uses fMRI to identify brain regions involved in number processing and links reduced sensorimotor involvement during number tasks to higher math skills in adults.

The paper shows that how semantic knowledge is accessed during memory retrieval affects subsequent neural representations in the brain.

This study investigates how semantic composition affects neural representations, finding shifts in visual system patterns and distinct network activations for relational vs. attributive composition.

This study investigates how memory schemas facilitate associative inference in the brain using fMRI, finding that schema congruency enhances integration of associations, and sleep, but not reward, supports this process.

The paper shows that image memorability is predicted by discriminability and similarity at different CNN layers in two behavioral experiments.

This paper introduces representational connectivity analysis to identify networks of shared representational strength fluctuations in fMRI data, revealing new brain networks not detected by traditional methods.

The paper shows that schema consistency enables fast memory integration, suggesting an alternative mechanism to hippocampus-mediated integration.