Luz Bavassi

This study examines neural dynamics during autobiographical memory retrieval, finding that remote memories show increased theta power and more efficient connectivity patterns compared to recent memories.

This study investigates neural correlates of post-retrieval processes of implicit threat memory using EEG and microstate analysis in humans.

The paper identifies EEG beta power reductions and network changes during post-retrieval rest as markers of memory reactivation linked to better long-term memory performance.

The paper introduces the SIT Model, a neural network framework that explains how memory representation evolves from a segregated to an integrated state over time, revealing an optimal window for memory malleability.

A working memory intervention disrupts threat memory reconsolidation and reduces implicit memory and valuation biases towards threat but not attentional bias.