Specifically, we propose a neurocomputational account in which perceptual biases arise from amygdala- and LC-NE–driven enhancement of sensory representations, while response biases reflect striatal influences on action selection. PFC flexibly encodes motivational context, orchestrating both biases.

How many PhDs does it take to fix a lamp?

Feeling fortunate that #SANS2025 was in Chicago, and so much of the lab was able to be part of the meeting! It's crazy how much the lab has grown over the past 3y10m, and I'm so proud of the work we are doing together! Happy that we could host the lab, alums (and surprise guests)!
#CASNL@SANS

Sad to be missing #OHBM2024 in Seoul this year, but hoping to attend vicariously through @jadynpark.bsky.social who will be presenting her work on on how emotional enhances narrative memories through functional integration of large-scale brain networks Wed/Thurs! Stop by poster 1705 to learn more!

(5/X) Using the neural classification approach, we classified participants into high and low levels of hostile attribution bias with 76% accuracy based on fNIRS activity:

(3/X) Using IS-RSA, we show that participants with similar levels of hostile attribution bias exhibited higher levels of neural synchrony in the left VMPFC while listening to the stories.