Juri Minxha

This paper introduces CURBD, a method using data-constrained recurrent neural networks to infer brain-wide interactions from neural recordings across species.

The paper shows that the medial frontal cortex flexibly uses memory-based representations during decision-making, while the medial temporal lobe does not show similar task-dependent changes.

The paper investigates how human amygdala neurons encode observational learning by tracking expected future rewards and outcome values, finding distinct neuronal subsets for self-experienced and observational value coding.