@HassonLab

The latest news from Uri Hasson's cognitive neuroscience research group at Princeton University

 Princeton, NJ
hassonlab.com/
Joined April 2016
  • Tweets268
  • Following200
  • Followers4.3K
85Media
Hasson Lab retweeted
Sam Nastase@samnastaseAug 18
New perspective piece out in @NeuroCellPress with @HassonLab, @zaidzada_, and Adele Goldberg! We try to articulate some of our excitement about LLMs and discuss what kinds of insights they might provide into the neural computations supporting natural language in the human brain.
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In summary, by leveraging naturalistic neural recordings and LLMs, this study identifies a previously unrecognized information-making process in the speaker’s brain. We would like to thank our co-authors: Haocheng Wang, @TomSheffer17807, @DariaLioub, @SchainMariano @HassonLab 🙏
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🚨 New preprint! One idea, many ways to say it – does your brain track those options before you speak? Using LLMs, we put this to the test: biorxiv.org/content/10.1101/… We show for the 1st time that the brain represents many alternatives simultaneously in both listening & speaking 🧵
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I’m hiring a PhD student for my lab at Cambridge’s Center for Human Inspired AI (CHIA)! Work at the intersection of AI × cognition × neuroscience. 📅 Deadline: Dec 2 🔗 Program: postgraduate.study.cam.ac.uk… 📚 My Google Scholar: scholar.google.com/citations…
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📢@GoldsteinYAriel, @samnastase and colleagues from @HassonLab show that aligning ECoG data into a shared space improves how well LLMs predict brain activity during language comprehension. nature.com/articles/s43588-0… 🔓rdcu.be/eQzYm

Aligning brains into a shared space improves their alignment with large language models

Nature Computational Science - Aligning electrocorticography data into a shared space improves how large language models predict brain activity during language comprehension, enhancing encoding...

nature.com
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I'm recruiting PhD students to join my new lab in Fall 2026! The Shared Minds Lab at @USC will combine deep learning and ecological human neuroscience to better understand how we communicate our thoughts from one brain to another.
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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/10.1101/…

Music-evoked reactivation during continuous perception is associated with enhanced subsequent...

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...

biorxiv.org
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Really excited to share our new preprint led by @ahmadmsamara with @zaidzada_, Tammy Vanderwal, and @HassonLab titled "Cortical language areas are coupled via a soft hierarchy of model-based linguistic features" doi.org/10.1101/2025.06.02.6…
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Congrats to @zaidzada_ et al. on their awesome paper exploring the representational space that enables transmission of linguistic information from one mind to another during conversation. It was a pleasure to preview it with @ev_fedorenko! cell.com/neuron/abstract/S08…
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Hasson Lab retweeted
Google AI
@GoogleAI21 Mar 2025
Inspired by the success of LLMs, today on the blog we discuss how neural activity in the human brain aligns linearly with the internal contextual embeddings of speech and language within LLMs as they process everyday conversations. Learn more →goo.gle/4iiUoNj
Fitting speech and language embeddings to human brain signals at production and comprehension.

ALT Fitting speech and language embeddings to human brain signals at production and comprehension.

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.@GoldsteinYAriel et al. link acoustic, speech, and linguistic data with brain activity during real-life conversations to create a model that predicts neural responses during speech with high accuracy. @HassonLab nature.com/articles/s41562-0…

A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural...

Nature Human Behaviour - This study links acoustic, speech and linguistic data with brain activity during real-life conversations to create a model that predicts neural responses during speech with...

nature.com
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Princeton Psychology is hiring this year (Assistant Professor level, open area, see job ad for details). Please apply! puwebp.princeton.edu/AcadHir…
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I have never been more excited to tell everyone about a paper! New preprint led by @zaidzada_ with @HassonLab: "A shared linguistic space for transmitting our thoughts from brain to brain in natural conversations" doi.org/10.1101/2023.06.27.5…
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Very excited that our paper on continuous memory scanning is now out in @PsychScience (doi.org/10.1177/095679762211…). With @ptoncompmemlab and @HassonLab we show how people use event structure to search through continuous memories (original thread below)

Evidence That Event Boundaries Are Access Points for Memory Retrieval - Sebastian Michelmann, Uri...

When recalling memories, we often scan information-rich continuous episodes, for example, to find our keys. How does our brain access and search through those m...

journals.sagepub.com
Sebastian Michelmann@s_michelmann1 Aug 2021
Did you ever try to remember where you placed your glasses, or your car keys? I’m excited to share my new preprint with @ptoncompmemlab and @hassonlab on continuous memory scanning, in which we ask: “how do we get from A to B in memory?” 🧵 psyarxiv.com/k8j94
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Excited to share our work using GPT-2 to test theories of human event segmentation, w/@GoldsteinYAriel @s_michelmann Jeff Zacks @HassonLab @ptoncompmemlab psyarxiv.com/qd2ra via @OSFramework 🧵 1/N

Bayesian Surprise Predicts Human Event Segmentation in Story Listening

Event segmentation theory posits that people segment continuous experience into discrete events, and that event boundaries occur when there are large transient increases in prediction error. Here, we...

osf.io
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Hasson Lab retweeted
Zaid Zada@zaidzada_26 Aug 2022
Come check out my poster on modeling brain-to-brain communication via deep language models in natural conversations @CogCompNeuro Saturday night. #ccneuro22
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I'll be at San Francisco this week presenting this work at @CogCompNeuro! Please don't hesitate to reach out if you want to chat! #ccneuro22
Sam Nastase@samnastase13 Jun 2022
How does the brain construct meaning from natural language? New preprint led by @sreejan_kumar @tedsumers with @TakaYamakoshi and @hawkrobe! We ask how the internal computations of a transformer-based language model map onto cortical language processing: doi.org/10.1101/2022.06.08.4…
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Our experiments in using real-time fMRI neurofeedback to alter the interpretation of an ambiguous, naturalistic narrative—a colossal amount of work by @acmennen with @ptoncompmemlab—now published in NeuroImage: Reports doi.org/10.1016/j.ynirp.2022…
Norman Lab@ptoncompmemlab1 Feb 2022
New preprint led by @acmennen, with @samnastase @yeshurunyaara @hassonlab: Real-time neurofeedback to alter interpretations of a naturalistic narrative 🧵 biorxiv.org/content/10.1101/…

Real-time neurofeedback to alter interpretations of a naturalistic narrative

We explored the potential of using real-time fMRI (rt-fMRI) neurofeedback training to bias interpretations of naturalistic narrative stimuli. Participants were randomly assigned to one of two...

biorxiv.org
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How does the brain construct meaning from natural language? New preprint led by @sreejan_kumar @tedsumers with @TakaYamakoshi and @hawkrobe! We ask how the internal computations of a transformer-based language model map onto cortical language processing: doi.org/10.1101/2022.06.08.4…
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honored honored to be awarded the @theNASEM ford predoctoral fellowship !! (will remain a lifelong hyundai fan but expect many car puns still to come)
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