Norman Lab

We are hiring a research specialist, to start this summer! This position would be a great fit for individuals looking to get more experience in computational and cognitive neuroscience research before applying to graduate school. #neurojobs Apply here: research-princeton.icims.com/jobs/21503/r...

What if we could tell you how well you’ll remember your next visit to your local coffee shop? ☕️ In our new Nature Human Behaviour paper, we show that the 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗮 𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 can be measured with neuroimaging – and 𝘁𝗵𝗮𝘁 𝘀𝗰𝗼𝗿𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝘀 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝗻𝗲𝘄 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 𝘄𝗶𝗹𝗹 𝘀𝘁𝗶𝗰𝗸.

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...

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...

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 👇

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!

@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

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

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

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

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

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.

Thrilled that this epic study led by @coralineiordan.bsky.social is now out in PNAS!

🔔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)

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/...

New preprint from @qlu.bsky.social and Ali Hummos, showing how episodic memory supports the learning of structured task representations!

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

🧠👁️ 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

I’m pleased to announce our preprint 😃 – Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference. URL: arxiv.org/abs/2312.08519 (1/N)

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...

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 🧠📈

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

#neuroskyence #psychscisky #neurojobs

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...

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