Norman Lab

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Norman Lab

Norman Lab

@ptoncompmemlab

Princeton Computational Memory Lab

Princeton, NJ Katılım Mayıs 2016
91 Takip Edilen4K Takipçiler
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Nathaniel Daw
Nathaniel Daw@nathanieldaw·
Come work with us! The Neuroscience Institute 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/apply…
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Norman Lab
Norman Lab@ptoncompmemlab·
New paper led by @jay_neuro: 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 👇
Jamal Williams@jay_neuro

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? In our new study, we used Eternal Sunshine of the Spotless Mind to find out. biorxiv.org/content/10.110…

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Norman Lab
Norman Lab@ptoncompmemlab·
@Qihong_Lu 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
Qihong Lu | 吕其鸿@Qihong_Lu

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)

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Mathis Pink
Mathis Pink@MathisPink·
1/n🤖🧠 New paper alert!📢 In "Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks" (arxiv.org/abs/2410.08133) we introduce SORT as the first method to evaluate episodic memory in large language models. Read on to find out what we discovered!🧵
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Qihong Lu | 吕其鸿
Qihong Lu | 吕其鸿@Qihong_Lu·
How can we efficiently find task representations online that work well for the ongoing task while leveraging relations with other tasks? Our simulations show that episodic memory can help! URL: shorturl.at/tT246 Here’s a summary: (1/n)
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Paul Scotti
Paul Scotti@humanscotti·
🧠👁️Our MindEye2 preprint is out! We reconstruct seen images from fMRI brain activity using only 1 hour of training data. This is possible by first pretraining a shared-subject model using other people's data, then fine-tuning on a held-out subject with only 1 hour of data.🧵
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Paul Scotti
Paul Scotti@humanscotti·
Happy to share MindEye got accepted for spotlight poster at #NeurIPS2023! See you in New Orleans! Updated camera ready paper is also now live on arxiv: arxiv.org/abs/2305.18274… Has various revisions including new appendix figures and more comprehensive references to other work.
MedARC@MedARC_AI

Announcement!📢 We're excited to share that our first paper since our public launch, MindEye, has been accepted as a *spotlight* at #NeurIPS2023! The updated version of our paper with additional details/exps is now up: arxiv.org/abs/2305.18274… Website: medarc.ai/mindeye

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Norman Lab
Norman Lab@ptoncompmemlab·
@Psychonomic_Soc It is such an honor to receive this award! I am deeply grateful to all of the colleagues who have supported me throughout my career, and to the *truly amazing* trainees that I've been privileged to work with here at Princeton.
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Psychonomic Society
Psychonomic Society@Psychonomic_Soc·
It is our pleasure to announce that Kenneth Norman (Princeton University) has just been named a recipient of the 2023 Mid-Career Award. Congratulations, Ken! bit.ly/2ByUJfs @ptoncompmemlab
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Paul Scotti
Paul Scotti@humanscotti·
Announcing 🧠👁️ MindEye! Our state-of-the-art fMRI-to-image approach that retrieves & reconstructs images from brain activity, is out as a preprint! MindEye takes human brain activity as input and outputs reconstructed images like these. Project page: medarc-ai.github.io/mindeye/
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Sebastian Michelmann
Sebastian Michelmann@s_michelmann·
How do we search through naturalistic memories? Join me at my poster 4.3.4 “Tracking the reinstatement of event representations during continuous memory search with human ECoG.” for event boundaries, memory-scanning, ECoG, hippocampo-cortical interactions, and more #LEARNMEM2023
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Imaging Neuroscience
Imaging Neuroscience@ImagingNeurosci·
All NeuroImage and NeuroImage:Reports editors have resigned over the high publication fee, and are starting a new non-profit journal imaging-neuroscience.org This comes with great regret, and a huge amount of thought and discussion- please read announcement to get more details.
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Norman Lab
Norman Lab@ptoncompmemlab·
Overall, these results provide strong support for splitting models: When an environment is generated by different latent causes, splitting can provide critical benefits for life-long learning, allowing us to hold onto knowledge even when training occurs in blocks.
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Norman Lab
Norman Lab@ptoncompmemlab·
This prediction was confirmed in two text narrative experiments:
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Keşfet

@s_michelmann @Qihong_Lu @TrendsCognSci @jay_neuro @CommsPsychol @PrincetonNeuro @PrincetonCS @Psychonomic_Soc