Flora Bouchacourt

This study shows that the brain uses shared neural subspaces to flexibly perform and combine multiple tasks by reusing representations across different task-related information.

The paper investigates how monkeys switch between learned rules and continuously update them during a perceptual categorization task, revealing distinct computational processes for rule switching and rule learning.

The paper investigates how task-set learning relies on unsupervised temporal chunking of stimulus-response associations using behavioral and neural data.

This paper introduces a flexible working memory model that maintains arbitrary inputs through random recurrent connections between structured and unstructured neural layers, but with limited memory capacity due to interference.