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
22.02.2025 12:53 β π 32 π 10 π¬ 0 π 0
Overall, these results highlight the importance of conjunctive representation as a βglueβ in successfully binding novel items to schematic scaffolds.
27.01.2025 16:51 β π 0 π 0 π¬ 0 π 0
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.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
We also used a language model to compute how similar the story people came up with is from just the locus-item pair (βstory deviationβ), where higher story deviation means people added more novel details to the locus-item pair - a measure of semantic conjunctive representation.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
In these DMN regions, the amount of neural conjunctive representation increased as participants gained more experience over the course of training.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
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.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
We looked at the conjunctive part of the encoding representation that is not explained by a linear combination of locus and item representation (βencoding residualβ), and used it (along with the locus- and item- alone representations) to predict retrieval representation.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
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.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
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.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
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.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
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.
27.01.2025 16:51 β π 0 π 0 π¬ 1 π 0
@huangjiawen.bsky.social, craig poskanzer, @raheemajavid.bsky.social, and @hartwakeland.bsky.social stand in front of a poster that reads: βCNS 2024 Torontoβ βWelcome to the Cognitive Neuroscience Society Annual Meetingβ
@raheemajavid.bsky.social, @hartwakeland.bsky.social, craig poskanzer, and @huangjiawen.bsky.social stand in front of
the CN Tower
thatβs a wrap on CNS2024! π¨π¦
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
18.04.2024 00:15 β π 3 π 1 π¬ 0 π 0
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.
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...
15.12.2023 15:17 β π 23 π 9 π¬ 1 π 0
Hippocampal differentiation of competing memories predicts the precision of preparatory coding in vi...
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
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
11.10.2023 12:54 β π 46 π 23 π¬ 1 π 0
Cognitive Neuroscientistπ§ , I work on too many topics that itβs hard to say my interest. I wish to live in a small town where it snows, but somehow I can't. I love Dairy Queen
π§ PhD student at the University of Toronto | The Memory & Perception Lab and The Duncan Lab
Psych PhD Student @ WashU w/ Jeff Zacks and Zach Reagh π§
π³π± | PhD from Columbia | Digital Nomading for a bit | How places and changes influence social cognition and well-being | Social Data Science
Research Asst Professor, National University of Singapore, Yong Loo Lin School of Medicine.
Cognitive neuroscientist curious about Motivation and Memory.
https://poh-brainmemlab.github.io/BrainMemLab/
grad kid studying memory in human spatial navigation @ SKKU & CNIR
Ph.D. Student Mila / McGill. Machine learning and Neuroscience, Memory and Hippocampus
The Mind, Brain and Behavior Research Center at the University of Granada, an international hub for psychological and neuroscience research.
- Maria de Maeztu Unit of Excellence
- https://cimcyc.ugr.es/en
Computational social neuroscientist interested in person perception, emotion, and Neuro-AI | Graduate Student in the SCRAP Lab at Dartmouth
Postdoctoral research associate at UCL
https://tianweigong.github.io/
PhD student @velezcolab.bsky.social Princetonπ― Previously @stanford_vpnl π§ | @USCMIDLA | Co-Host of @StanfordPsyPod | Loves catsπ±
https://bellafascendini.github.io/
Postdoc at UT Austin studying real-world vision
Postdoc in the Kuhl Lab at the University of Oregon, PhD from UT Austin. Episodic Memory | Computational Neuroscience | Cognitive Neuroscience | Machine Learning. πΏ -> π -> π -> π¦, he/him
soroushmirjalili.com
Assistant professor of social psychology at CU Boulder
https://www.svmlab.org/
I am a Ph.D. student at e-Campus University, Novedrate (Como), Italy. My Doctoral research focuses on the link between eye movements and cognitive deterioration. I am investigating different neurological disorders with eye-tracking technology.
Episodic memory, perception and working memory aficionado. I love drawing and studying brains. Ramon y Cajal fellow. University of Granada. CIMCYC (Granada, Spain).
www.lindedomingo.com
Postdoc @mpicbs.bsky.social, interested in Generalization, Transfer Learning, Cats and Pirates
Associate Professor, Psychological & Brain Sciences, Johns Hopkins University.
theoretical neuroscience; open-ended cognition; memory