Norman Lab
@ptoncompmemlab.bsky.social
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Princeton Computational Memory Lab
https://compmem.princeton.edu
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...
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https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=39681
about 1 month ago
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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 โ see Codyโs post below for a short thread and a non-paywalled paper link!
#NeuroAI
doi.org/10.1016/j.ti...
add a skeleton here at some point
about 2 months ago
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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 ๐
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3 months ago
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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!
add a skeleton here at some point
5 months ago
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@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
add a skeleton here at some point
5 months ago
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reposted by
Norman Lab
Chris Baldassano
7 months ago
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
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Our paper on how neural codes track prior events in a narrative and predict subsequent memory for details, led by
@collinsilvy.bsky.social
, is now out in Communications Psychology!
rdcu.be/d93Vc
#neuroskyence
#psychscisky
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Neural codes track prior events in a narrative and predict subsequent memory for details
Communications Psychology - Context-dependent temporal structures are represented in multiple ways in parallel in the human brain during processing of temporally extended events. The neural...
https://rdcu.be/d93Vc
7 months ago
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reposted by
Norman Lab
Sebastian Michelmann
7 months ago
Excited to share our preprint "Fast-timescale hippocampal processes bridge between slowly unfurling neocortical states during memory search" ๐ง โจ We leverage iEEG to elucidate the fast neural mechanisms by which long multimodal narratives are unfurled in continuous memory-search
tinyurl.com/wjkr3dvf
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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...
https://tinyurl.com/wjkr3dvf
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Training in the Method of Loci promotes the development of widespread conjunctive representations in neocortex that bind items and loci -- very excited to be part of this project led by
@huangjiawen.bsky.social
and
@chrisbaldassano.bsky.social
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8 months ago
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reposted by
Norman Lab
Sebastian Michelmann
9 months ago
So happy that our paper on event segmentation in large language models is now out in Behavior Research Methods!
tinyurl.com/2j76882b
With
@mtoneva.bsky.social
,
@ptoncompmemlab.bsky.social
, and Manoj Kumar, we show that LLMs can segment narrative text into meaningful events similarly to humans.
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Large language models can segment narrative events similarly to humans - Behavior Research Methods
Humans perceive discrete events such as โrestaurant visitsโ and โtrain ridesโ in their continuous experience. One important prerequisite for studying human event perception is the ability of researche...
https://tinyurl.com/2j76882b
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Thrilled that this epic study led by
@coralineiordan.bsky.social
is now out in PNAS!
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10 months ago
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reposted by
Norman Lab
Rolando Masรญs-Obando
10 months ago
๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ Beyond excited to present our new work showcasing ๐ก๐จ๐ฐ ๐ฐ๐ ๐๐๐ง ๐ฉ๐ซ๐๐๐ข๐๐ญ ๐ก๐จ๐ฐ ๐ฐ๐๐ฅ๐ฅ ๐ฒ๐จ๐ฎ ๐ฐ๐ข๐ฅ๐ฅ ๐ซ๐๐ข๐ง๐ฌ๐ญ๐๐ญ๐ ๐ ๐ง๐๐ฐ ๐ฆ๐๐ฆ๐จ๐ซ๐ฒ ๐๐๐๐จ๐ซ๐ ๐ญ๐ก๐๐ญ ๐ฆ๐๐ฆ๐จ๐ซ๐ฒ ๐ข๐ฌ ๐๐จ๐ซ๐ฆ๐๐! Wait what? Exciting collab w/
@ptoncompmemlab.bsky.social
&
@chrisbaldassano.bsky.social
Link:
www.biorxiv.org/content/10.1...
(1/11)
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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)
11 months ago
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New paper led by Kailong Peng: Real-time fMRI neurofeedback that promotes coactivation of cortical representations drives integration in the hippocampus
#neuroskyence
#psychscisky
royalsocietypublishing.org/doi/10.1098/...
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Inducing representational change in the hippocampus through real-time neurofeedback | Philosophical Transactions of the Royal Society B: Biological Sciences
When you perceive or remember something, other related things come to mind, affecting how these competing items are subsequently perceived and remembered. Such behavioural consequences are believed to...
https://royalsocietypublishing.org/doi/10.1098/rstb.2023.0091
11 months ago
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Our neural network model of differentiation and integration of competing memories, developed by Victoria Ritvo and Alex Nguyen, has now been published in
@elife.bsky.social
: Paper:
https://tinyurl.com/4b3k95rd
Code:
https://tinyurl.com/mr25rk9e
#neuroskyence #psychscisky #neuroai (1/5)
12 months ago
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New preprint from
@qlu.bsky.social
and Ali Hummos, showing how episodic memory supports the learning of structured task representations!
add a skeleton here at some point
over 1 year ago
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Our paper on how blocked training supports learning of multiple schemas, with Andre Beukers,
@collinsilvy.bsky.social
, Ross Kempner, Nick Franklin, and
@gershbrain.bsky.social
, is now out in Communications Psychology!
rdcu.be/dEeaG
#neuroskyence
#psychscisky
over 1 year ago
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reposted by
Norman Lab
Paul Scotti
over 1 year ago
๐ง ๐๏ธ Our MindEye2 preprint is out! We reconstruct seen images from fMRI activity using only 1 hour of training data. This is possible by first pretraining a shared-subject model using other people's data, and then fine-tuning on a held-out subject with only 1 hr of data.
arxiv.org/abs/2403.11207
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Delighted to share this new work led by
@collinsilvy.bsky.social
, with Ross Kempner and Sunita Srivatasan !
#neuroskyence
#psychscisky
add a skeleton here at some point
over 1 year ago
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reposted by
Norman Lab
Qihong (Q) Lu
almost 2 years ago
Iโm pleased to announce our preprint ๐ โ Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference. URL:
arxiv.org/abs/2312.08519
(1/N)
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reposted by
Norman Lab
Mariam Aly
almost 2 years ago
Competing memories may be integrated or differentiated based on how much their representations co-activate. Using real-time fMRI neurofeedback, this study finds that high co-activation of memories in visual cortex leads to less memory discriminability in hippocampus.
#PsychSciSky
#neuroskyence
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Inducing representational change in the hippocampus through real-time neurofeedback
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
https://www.biorxiv.org/content/10.1101/2023.12.01.569487v1.abstract
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Now out in Psychological Review, with Andre Beukers, Maia Hamin, and Jon Cohen: our model of how episodic memory can support performance on the n-back task, "When working memory may just be working, not memory". Free version here:
osf.io/preprints/ps...
#psychscisky
#neuroskyence
almost 2 years ago
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reposted by
Norman Lab
Nathaniel Daw
almost 2 years ago
One more week to apply for our joint faculty position in Princeton Neuroscience Institute and Computer Science Dept, in neuroAI and intelligent systems, broadly construed. Do you fit? Yes. But feel free to contact me with q's.
puwebp.princeton.edu/AcadHire/app...
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https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=32181
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Now out in Cognitive Science! We use GPT-2 to show that Bayesian surprise, which tracks changes in the content and confidence of predictions, accounts for human event boundaries in a narrative better than surprisal, which only tracks the predicted probability of individual words
tinyurl.com/kd9dpub8
almost 2 years ago
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reposted by
Norman Lab
Paul Scotti
almost 2 years ago
Our MindEye fMRI-to-Image paper got accepted as spotlight for
#NeurIPS2023
! See you in New Orleans, will be my first time attending NeurIPS :) Updated camera ready paper is also now live on arxiv:
arxiv.org/abs/2305.182..
. Includes new expts, appendix figures, more references to other work ๐ง ๐
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reposted by
Norman Lab
aaron bornstein
almost 2 years ago
Thanks to
@ankosov.bsky.social
for an excellent post for
@psychonomicsociety.bsky.social
about our paper with
@mariamaly.bsky.social
, Sam Feng,
@ptoncompmemlab.bsky.social
, and Jon Cohen! "Why do you sometimes see what you expect to see? The answer may be in your memory."
wp.me/p8IxYp-2s3
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#neuroskyence #psychscisky #neurojobs
add a skeleton here at some point
almost 2 years ago
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reposted by
Norman Lab
Nathaniel Daw
almost 2 years ago
Come work with us! @PrincetonNeuro and @PrincetonCS are searching for a joint faculty member in NeuroAI and intelligent systems. On the PNI side, our human cog neuro group (already v. computational) is esp keen to develop more connections with AI and CS.
puwebp.princeton.edu/AcadHire/app...
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https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=32181
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Delighted to be here on Blue Sky! Our lab studies human learning and memory using computational, neural, and behavioral methods:
compmem.princeton.edu
#cogneuro #neuroscience #psychscisky #memory #neuroskyence
about 2 years ago
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