Norman Lab
@ptoncompmemlab.bsky.social
2.2K followers 100 following 34 posts
Princeton Computational Memory Lab https://compmem.princeton.edu
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ptoncompmemlab.bsky.social
Come work with us! @princetonneuro.bsky.social and the Department of Psychology at Princeton University are searching for a tenure-track Assistant Professor in the area of human cognitive neuroscience, to be hired jointly in Psychology and Neuroscience: puwebp.princeton.edu/AcadHire/app...
puwebp.princeton.edu
ptoncompmemlab.bsky.social
New paper led by @codydong.bsky.social now out in @cp-trendscognsci.bsky.social, exploring the relationship between memory-augmented LLMs and human episodic memory – see Cody’s post below for a short thread and a non-paywalled paper link! #NeuroAI doi.org/10.1016/j.ti...
ptoncompmemlab.bsky.social
New paper led by @jayneuro.bsky.social: Repetition of musical themes in Eternal Sunshine of the Spotless Mind reactivates memories of earlier scenes, and this neural reactivation correlates with subsequent memory for those scenes! Check out Jamal's thread below 👇
jayneuro.bsky.social
Music is an incredibly powerful retrieval cue. What is the neural basis of music-evoked memory reactivation? And how does this reactivation relate to later memory for the retrieved events? In our new study, we used Eternal Sunshine of the Spotless Mind to find out. www.biorxiv.org/content/10.1...
Music-evoked reactivation during continuous perception is associated with enhanced subsequent recall of naturalistic events
Music is a potent cue for recalling personal experiences, yet the neural basis of music-evoked memory remains elusive. We address this question by using the full-length film Eternal Sunshine of the Spotless Mind to examine how repeated musical themes reactivate previously encoded events in cortex and shape next-day recall. Participants in an fMRI study viewed either the original film (with repeated musical themes) or a no-music version. By comparing neural activity patterns between these groups, we found that music-evoked reactivation of neural patterns linked to earlier scenes in the default mode network was associated with improved subsequent recall. This relationship was specific to the music condition and persisted when we controlled for a proxy measure of initial encoding strength (spatial intersubject correlation), suggesting that music-evoked reactivation may play a role in making event memories stick that is distinct from what happens at initial encoding. ### Competing Interest Statement The authors have declared no competing interest. National Institutes of Health, https://ror.org/01cwqze88, F99 NS118740, R01 MH112357
www.biorxiv.org
ptoncompmemlab.bsky.social
Thrilled that this collaborative project with the @maureenritchey.bsky.social lab, co-led by @gushennings.bsky.social and Paula Brooks, is out in preprint form!
gushennings.bsky.social
Hello Bsky world, I am excited to announce our latest preprint “Eye movements reveal the cognitive dynamics supporting successful memory suppression” in collaboration with Paula Brooks, @ptoncompmemlab.bsky.social, and @maureenritchey.bsky.social! 🎉👀 osf.io/preprints/ps...
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OSF
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ptoncompmemlab.bsky.social
@qlu.bsky.social is starting his lab at City U of Hong Kong! This is a truly amazing opportunity for trainees interested in computational cognitive neuroscience and neuroAI
qlu.bsky.social
I’m thrilled to announce that I will start as a presidential assistant professor in Neuroscience at the City U of Hong Kong in Jan 2026!
I have RA, PhD, and postdoc positions available! Come work with me on neural network models + experiments on human memory!
RT appreciated!
(1/5)
Reposted by Norman Lab
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
Reposted by Norman Lab
s-michelmann.bsky.social
Excited to share our preprint "Fast-timescale hippocampal processes bridge between slowly unfurling neocortical states during memory search" 🧠✨ We leverage iEEG to elucidate the fast neural mechanisms by which long multimodal narratives are unfurled in continuous memory-search tinyurl.com/wjkr3dvf
Fast-timescale hippocampal processes bridge between slowly unfurling neocortical states during memory search
Prior behavioral work showed that event structure plays a key role in our ability to mentally search through memories of continuous naturalistic experience. We hypothesized that, neurally, this memory...
tinyurl.com
ptoncompmemlab.bsky.social
Thrilled that this epic study led by @coralineiordan.bsky.social is now out in PNAS!
coralineiordan.bsky.social
New paper story time (now out in PNAS)! We developed a method that caused people to learn new categories of visual objects, not by teaching them what the categories were, but by changing how their brains worked when they looked at individual objects in those categories.

www.pnas.org/doi/10.1073/...
Sculpting new visual categories into the human brain | PNAS
Learning requires changing the brain. This typically occurs through experience, study, or instruction. We report an alternate route for humans to a...
www.pnas.org
Reposted by Norman Lab
xrmasiso.bsky.social
🔔𝐍𝐄𝐖 𝐏𝐑𝐄𝐏𝐑𝐈𝐍𝐓 𝐀𝐋𝐄𝐑𝐓🔔 Beyond excited to present our new work showcasing 𝐡𝐨𝐰 𝐰𝐞 𝐜𝐚𝐧 𝐩𝐫𝐞𝐝𝐢𝐜𝐭 𝐡𝐨𝐰 𝐰𝐞𝐥𝐥 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐫𝐞𝐢𝐧𝐬𝐭𝐚𝐭𝐞 𝐚 𝐧𝐞𝐰 𝐦𝐞𝐦𝐨𝐫𝐲 𝐛𝐞𝐟𝐨𝐫𝐞 𝐭𝐡𝐚𝐭 𝐦𝐞𝐦𝐨𝐫𝐲 𝐢𝐬 𝐟𝐨𝐫𝐦𝐞𝐝! Wait what? Exciting collab w/ @ptoncompmemlab.bsky.social & @chrisbaldassano.bsky.social Link: www.biorxiv.org/content/10.1... (1/11)
ptoncompmemlab.bsky.social
#neuroskyence #psychscisky
ptoncompmemlab.bsky.social
When memories are identified as targets for representational change, some of the plasticity required to implement those changes may occur later, during offline REM sleep. (9/9)
ptoncompmemlab.bsky.social
Our findings support the hypothesis that REM sleep drives representational change in the hippocampus, showing one way that REM sleep may support memory consolidation… (8/9)
ptoncompmemlab.bsky.social
We also hypothesized that neural differentiation would be correlated with the amount the predicted item came to mind during prediction errors, more so in the REM group than the Wake and non-REM sleep-only groups. This pattern was reliable (at an uncorrected threshold) in bilateral DG. (7/9)
ptoncompmemlab.bsky.social
We found more differentiation in the group with REM sleep than the Wake and non-REM sleep-only groups in the right CA2/3/DG (significant at an uncorrected threshold). An exploratory analysis found that the effect was concentrated in the right DG. (6/9)
ptoncompmemlab.bsky.social
Using the same task as Kim et al. (2017), we measured how the representations of A and B changed across a period of consolidation with fMRI. We manipulated the presence or absence of REM sleep in a daytime nap during that consolidation period (we also included a quiet wake control group). (5/9)
ptoncompmemlab.bsky.social
Kim et al. found that, when an item predicted in a particular context (e.g., A predicts B) failed to appear and was later restudied in a different context, the representations of A and B became less similar in the CA2/3/DG region of the hippocampus (Kim et al., 2017). (4/9)
ptoncompmemlab.bsky.social
Here, we sought to test the preregistered hypothesis that learning during REM sleep helps differentiate the neural representations of related memories, by expanding on a prior fMRI study by Kim et al. (2017) showing that prediction errors lead to neural differentiation in the hippocampus… (3/9)
ptoncompmemlab.bsky.social
Myriad studies have contributed to our understanding of non-REM sleep and its role in memory consolidation, but the role of REM sleep largely remains a puzzle. (2/9)
ptoncompmemlab.bsky.social
Excited to share a new preprint with Elizabeth McDevitt, Ghootae Kim, and Nick Turk-Browne investigating the role of REM sleep in neural differentiation of memories in the hippocampus! URL: https://www.biorxiv.org/content/10.1101/2024.11.01.621588v1 (1/9)
ptoncompmemlab.bsky.social
The paper also features explainer videos! For example, this video explains why associating two scenes to the same face in Favila et al. (2016) leads to differentiation: https://www.youtube.com/watch?v=dRIW6zVp4qw
(5/5)
ptoncompmemlab.bsky.social
The model predicts that, when differentiation occurs as a result of this unsupervised learning mechanism, it will be rapid and asymmetric, and it will give rise to anticorrelated representations in the region of the brain that is the source of the differentiation. (4/5)