Ingrid Bethus

This study identifies AETA peptide as a novel contributor to synaptic dysfunction in Alzheimer's disease, particularly in females, through post-mortem analysis and a mouse model.

This paper introduces Dynamic Structure Learning (DSL), a framework that models how agents adapt their internal structures over time, applied to rats navigating a maze, showing evolving mental maps and learning rules.

The paper identifies age-related changes in the hippocampus-accumbens pathway in mice and links them to cognitive decline, showing that reducing pathway excitability can improve memory.

This study investigates how working memory dynamics change over repeated task performance, showing that the dorsolateral striatum supports automation while the medial prefrontal cortex becomes less critical over time.

This study examines how neural activity in the rat striatum changes during learning, showing distinct coding dynamics in DMS and DLS that correlate with behavioral performance.

This paper introduces a framework to infer agents' internal models from behavior, revealing that suboptimal decisions arise from interactions between learning rules and environment representations in rats.