We're happy to release NeuralSet: a simple, fast, scalable package for Neuro-AI

Supports:
🧠 fMRI, EEG, MEG, iEEG, spikes… preprocessing
💬 text 🔊 audio ▶️ video 🏞️ image… embeddings

📦 pip install neuralset
🔍 facebookresearch.github.io/neuroai/neur...
📄 kingjr.github.io/files/neural...

🧵 Details👇

You Can't Fight in Here! This is BBS! Norm, the formal theoretical linguist, and Claudette, the computational language scientist, have a lovely time discussing whether modern language models can inform important questions in the language ...

Richard @futrell.bsky.social and I have posted our response to the commentaries on our BBS target article "How Linguistics Learned to Stop Worrying and Love the Language Models." The response is: "You Can't Fight in Here! This is BBS!" arxiv.org/abs/2604.09501

The Bayesian Workflow book is coming!
statmodeling.stat.columbia.edu/2026/04/16/t...

New paper out in Proceedings of the Royal Society B: we apply linguistic tools to sperm whale vowels.

The result: sperm whale vowels do not just look like human vowels. They also behave like them.

We found several parallels. Like in Latin, whales have short and long vowels.

How children remember time changes dramatically as they grow up & understanding that shift matters more than you might think.

Two new papers from the lab's newest PhD, Dr. Owen Friend, explore what that difference looks like & what it tells us about the developing brain 🧠

www.science.org/doi/10.1126/...

"mental imagery reactivates the same sensory codes used during visual stimuli, suggesting the existence of a generative model capable of synthesizing detailed sensory contents from an abstract, semantic representation."

Really excited about our new work on aphasia! Even in fairly profound aphasia, we can recover semantic maps through visual stimuli and use them to decode language. This is a big step! Language BCIs in aphasia might be possible!

Using time-resolved EEG/MEG decoding?🧠 Here’s a new approach!
No feature engineering (decode from raw signals), but capturing info that standard decoding often misses (oscillatory/aperiodic activity, connectivity).
Lightweight, INTERPRETABLE, and easy to use. (1/6)
www.biorxiv.org/content/10.6...

A Suite of LMs Comprehend Puzzle Statements as Well or Better Than Humans Abstract. This paper reexamines a recent claim that Large Language Models lag behind humans in language comprehension on what were described as minimally complex statements. We argue that human…

A Suite of LMs Comprehend Puzzle Statements as Well or Better Than Humans

By Supantho Rakshit, Jennifer Hu, Kyle Mahowald, Adele E. Goldberg

Happy to share our new preprint:

Uncovering the representational geometry of durations

Is time represented along a single mental timeline? We combine behaviour + EEG to show that duration is organised in a richer, multidimensional space.

w/ @lnalborczyk.bsky.social & @virginievanw.bsky.social

New paper led by @jsrozner.bsky.social proposing and validating a way of studying LM representations as conduits for learning. Infect a model by training it on an adversarial example and trace the impacts on behavior. This has lots of perks explained in Josh's thread.

Excited for #HSP2026! LInC Lab has a busy Saturday! 🧠🗣️

🖼️ Posters:
• Olivia Gawel on memory & noisy-channel inference
• Tevin Williams on linguistic alignment & memory for conversation

🎤 Talk:
• Yours truly on eye-tracking & real-time noisy-channel inference

Come chat/give feedback! 👋

Statistical Rethinking 2026 is done: 20 new lectures emphasizing logical and critical statistical workflow, from basics of probability theory to causal inference to reliable computation to sensitivity. It's all free, made just for you. Lecture list and links: github.com/rmcelreath/s...

Data Organization in Spreadsheets Karl W. Broman & Kara H. Woo Pages 2-10 | Received 01 Jun 2017, Accepted author version posted online: 29 Sep 2017, Published online: 24 Apr 2018 1. Introduction 2. Be Consistent 3. Choose Good Names for Things 4. Write Dates as YYYY-MM-DD 5. No Empty Cells 6. Put Just One Thing in a Cell 7. Make it a Rectangle 8. Create a Data Dictionary 9. No Calculations in the Raw Data Files 10. Do Not Use Font Color or Highlighting as Data 11. Make Backups 12. Use Data Validation to Avoid Errors 13. Save the Data in Plain Text Files ABSTRACT Spreadsheets are widely used software tools for data entry, storage, analysis, and visualization. Focusing on the data entry and storage aspects, this article offers practical recommendations for organizing spreadsheet data to reduce errors and ease later analyses. The basic principles are: be consistent, write dates like YYYY-MM-DD, do not leave any cells empty, put just one thing in a cell, organize the data as a single rectangle (with subjects as rows and variables as columns, and with a single header row), create a data dictionary, do not include calculations in the raw data files, do not use font color or highlighting as data, choose good names for things, make backups, use data validation to avoid data entry errors, and save the data in plain text files.

Every day is a good day for sharing one of the most useful papers about research data ever written. PLEASE get your people to understand and follow this advice.

www.tandfonline.com/doi/full/10....

Language, Intelligence & Thought lab is looking for a lab manager! This is a 2-year postbac position that will allow you to gain experience in human neuroscience, cognitive science, and AI research prior to applying to PhD programs.

Express interest here: forms.gle/npXEGUjGUbp5...

I am thrilled to announce that our group has received a new grant from the Shurl and Kay Curci Foundation to study the neural dynamics of vocal learning in children! I am looking for a postdoc to join us in this effort, currently funded for 2 years. Please reach out with CV and letter of interest.

We have three lectureships available at York Psychology (@yorkpsychology.bsky.social) with a broad remit for research/teaching areas. Home and overseas applications are welcome. Deadline for applications is early April - enquiries welcome. Come and join us! jobs.york.ac.uk/vacancy/lect...

I’m excited to share our new work, led by grad student Rajvi Agravat, using iEEG in 54 pediatric, adolescent, & young adult participants with deep neural network audio source separation to show how the brain prioritizes speech in audio containing both speech and music www.biorxiv.org/content/10.6...

Optimized feature gains explain and predict successes and failures of human selective listening - Nature Human Behaviour Griffith et al. show that human-like auditory attentional strategies naturally arise from the optimization of feature gains for selective listening.

Excited to announce a new paper from our lab, by Ian Griffith @iangriffith.bsky.social with help from Preston Hess @phess2.bsky.social, introducing a model of attentional selection. www.nature.com/articles/s41...
@mitbcs.bsky.social @mitscience.bsky.social
Here is a summary. (1/n)

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Our new paper on how pinniped (seal and sea lion) brains evolved to unlock vocal plasticity is this week's @science.org cover.

www.science.org/doi/10.1126/...

Evidence Against Syntactic Encapsulation in Large Language Models Transformer-based large language models (LLMs) have recently demonstrated exceptional performance in a variety of linguistic tasks. LLMs primarily combine information across words in a sentence using...

Evidence against syntactic encapsulation in large language models

onlinelibrary.wiley.com/doi/10.1111/...

Congratulations @judithfan.bsky.social on winning the Lila R. Gleitman Prize for early-career contributions to Cognitive Science 🥳 Amazing!!

cognitivesciencesociety.org/gleitman-pri...

title section of the paper: “Cross-Modal Taxonomic Generalization in (Vision) Language Models” by Tianyang Xu, Marcelo Sandoval-Castañeda, Karen Livescu, Greg Shakhnarovich, Kanishka Misra.

What is the interplay between representations learned from (language) surface forms alone, and those learned from more grounded evidence (e.g.,vision)?

Excited to share new work understanding “Cross-modal taxonomic generalization” in (V)LMs

arxiv.org/abs/2603.07474

1/

What if you could automatically transcribe children's speech sounds from their first babbles to full sentences?

Screening for speech delays. Comparing how kids learn to talk across languages. Following how sounds evolve month by month.

We're building toward this with BabAR🧵 (sound on 🔊)

Task learning increases information redundancy of neural responses in macaque visual cortex How does the brain optimize sensory information for decision-making in new tasks? One hypothesis suggests that learning reduces redundancy in neural representations to improve efficiency, whereas anot...

RIP redundancy reduction?

Beautiful work by Liu & colleagues showing that neural redundancy increases with learning, as predicted by a Bayesian model:
www.science.org/doi/10.1126/...

Of all the analogies, this one about horses is the dumbest.

The canvas() function from the ggview R package is very useful for previewing/tweaking a ggplot into publication-ready format: it renders a plot "as it would appear if saved to a file with the specified dimensions".

cran.r-project.org/web/packages...

#RStats #ggplot #ggview

Fantastic tool for teaching about neural networks!

My group is hiring a full time research coordinator to work with our collaborators in Houston on understanding speech and language development in children with epilepsy. Great for folks looking to get direct experience with clinical/translational research. Please repost! jobs.bcm.edu/job/Research...

Very cool! Looking forward to reading!