Jiawen Huang
@huangjiawen.bsky.social
120 followers 200 following 11 posts
PhD student at Columbia w/ Chris Baldassano I study memory & prediction with fMRI, eye-tracking, and games
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Reposted by Jiawen Huang
Reposted by Jiawen Huang
chrisbaldassano.bsky.social
Thank you to Ingrid Wickelgren and the team at Quanta for putting together this great piece, describing work by my lab and others on the neural representations of events
huangjiawen.bsky.social
Overall, these results highlight the importance of conjunctive representation as a “glue” in successfully binding novel items to schematic scaffolds.
huangjiawen.bsky.social
We found that over the course of the training, story deviation increased and that the amount of neural conjunctive representation in DMN also tracked the amount of semantic conjunctive representation.
huangjiawen.bsky.social
We also used a language model to compute how similar the story people came up with is from just the locus-item pair (“story deviation”), where higher story deviation means people added more novel details to the locus-item pair - a measure of semantic conjunctive representation.
huangjiawen.bsky.social
In these DMN regions, the amount of neural conjunctive representation increased as participants gained more experience over the course of training.
huangjiawen.bsky.social
We found that the conjunctive part of encoding representation is robustly and consistently reinstated during retrieval throughout the neocortex, especially in the DMN regions, much more than the locus- and item- alone representations.
huangjiawen.bsky.social
We looked at the conjunctive part of the encoding representation that is not explained by a linear combination of locus and item representation (“encoding residual”), and used it (along with the locus- and item- alone representations) to predict retrieval representation.
huangjiawen.bsky.social
We scanned participants three times through the course of the training, and we measured the neural representations of the items and the loci individually, and their combined representations during memory encoding and retrieval.
huangjiawen.bsky.social
This strategy for forming strong memories involves pre-learning an imagined path through a sequence of anchors (loci) and then creating a meaningful association between each word in a list and a corresponding anchor.
huangjiawen.bsky.social
but the neural mechanism of how novel items are combined with familiar context remains relatively unexplored. Here, we present a new experimental and analytic paradigm for studying this process of item-context binding, by training participants on the Method of Loci (MoL) over a course of 4 weeks.
huangjiawen.bsky.social
In daily life, we can draw on schemas, or structured prior knowledge, to provide a scaffold for remembering a novel event. Decades of behavioral and neuroimaging work on how contexts help memory highlighted the importance of creating meaningful connection between the novel items and the context.
Reposted by Jiawen Huang
raheemajavid.bsky.social
that’s a wrap on CNS2024! 🇨🇦

had the best time with the most amazing group of people that i get to work with! @huangjiawen.bsky.social @hartwakeland.bsky.social @craig_poskanzer
@huangjiawen.bsky.social, craig poskanzer, @raheemajavid.bsky.social, and @hartwakeland.bsky.social stand in front of a poster that reads: “CNS 2024 Toronto” “Welcome to the Cognitive Neuroscience Society Annual Meeting” @raheemajavid.bsky.social, @hartwakeland.bsky.social, craig poskanzer, and @huangjiawen.bsky.social stand in front of
 the CN Tower
Reposted by Jiawen Huang
chrisbaldassano.bsky.social
New preprint led by @huangjiawen.bsky.social: we find that predictable stimuli are better remembered for two separate reasons: making correct predictions improves memory, and likely stimuli can be more easily reconstructed. We can independently manipulate these two factors!

osf.io/preprints/ps...
Image of Figure 2 from the paper, showing that stimuli (moves in a board game called four-in-a-row) are generated based on both move probability from an AI model and participant predictions measured via eye movements.
Reposted by Jiawen Huang
mariamaly.bsky.social
How do we resolve competition between memories to behave adaptively?

Hippocampal differentiation of competing memories predicts the precision of preparatory coding in visual cortex during memory-guided attention

Excited to share this work by the inimitable Serra Favila!

#neuroskyence #PsychSciSky
Hippocampal differentiation of competing memories predicts the precision of preparatory coding in vi...
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