Junseok K. Lee

Augmenting the Bayesian Brain with learned and reusable world-model components for flexible cognition

This paper introduces modular neural state-space models to implement the Bayesian Brain hypothesis, enabling learned and reusable world-model components for flexible cognition.

Humans use a dual policy to improve inferences during epistemic information seeking

The paper shows humans use a two-stage strategy for epistemic information seeking, combining streaking and uncertainty-guided exploration to improve inference accuracy.

Controllability boosts neural and cognitive signatures of information seeking

The paper isolates the neural and cognitive signatures of information seeking by distinguishing it from changes-of-mind, finding increased attention and arousal during information seeking.

Interacting with volatile environments stabilizes hidden-state inference and its brain signatures

The paper shows that interacting with volatile environments leads to more stable hidden-state inference and distinct brain activity patterns compared to observing cues.