Will Turner
@renrutmailliw.bsky.social
📤 152
📥 197
📝 7
cognitive neuroscience postdoc at stanford
https://bootstrapbill.github.io/
he/him
pinned post!
New paper out in
@plosbiology.org
w/ Charlie,
@phil-johnson.bsky.social
, Ella, and Hinze 🎉 We track moving stimuli via EEG, find evidence that motion is extrapolated across distinct stages of processing + show how this effect may emerge from a simple synaptic learning rule!
tinyurl.com/2szh6w5c
11 months ago
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Jean-Rémi King
about 18 hours ago
🧠 the Digital Brain Project is now live: $5M total · up to $500k per selected team Let's open-source the modeling of the human brain brain activity! ➡️Apply on:
digitalbrainproject.org
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Khai Loong Aw
1 day ago
Children exhibit visual understanding from limited experience, orders of magnitude less than our best models. We introduce the Zero-shot World Model (ZWM). Trained on a single child's visual experience, BabyZWM rapidly generates competence across diverse benchmarks with no task-specific training. 🧵
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Prof. Alex Woolgar
8 days ago
Excited about this one!
add a skeleton here at some point
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Tobias Gerstenberg
13 days ago
The Causality in Cognition Lab -- a supportive, bluesky-colored team -- is looking for a predoc to join us! Here are infos about the lab (
cicl.stanford.edu
) and the position (
careersearch.stanford.edu/jobs/iriss-p...
). The application deadline is May 1st. Please share, thank you 🙏
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Irmak Ergin
15 days ago
Excited to share our new publication, “Measuring Naturalistic Speech Comprehension in Real Time”! ➡️
rdcu.be/fa3hk
#psynomBRM
w/
@kriesjill.bsky.social
, Shiven Gupta, Maria Papworth Burrel, &
@lauragwilliams.bsky.social
🧵1/11
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Measuring naturalistic speech comprehension in real time
https://rdcu.be/fa3hk
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Arthur Prat
19 days ago
Just posted an update of this study, where we show how the receptive fields of number-encoding neural populations shift and rescale with the prior — "distributed range adaptation" — in line with (dynamic) efficient coding, and predictive of behavior. Check it out!
www.biorxiv.org/content/10.1...
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micha heilbron
about 1 month ago
📢 PhD position in the NeuroAI of Language Why can LLMs predict brain activity so well? We're hiring a PhD student to find out -- AI interpretability meets neuroimaging Deadline March 20 Please RT 🙏 👇
mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-neuroai-language
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Will Turner
3 months ago
A new study by
@lauragwilliams.bsky.social
,
@kriesjill.bsky.social
, and team suggests that phonetic features are robustly encoded in healthy older adults, but show reduced encoding strength in individuals with post-stroke aphasia during speech comprehension.
www.jneurosci.org/content/46/4...
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The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia
During successful language comprehension, speech sounds (phonemes) are encoded within a series of neural patterns that evolve over time. Here we tested whether these neural dynamics of speech encoding...
https://www.jneurosci.org/content/46/4/e1001252025
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Jill Kries
3 months ago
Excited to share our new publication “The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia”, published in JNeurosci 🧠 ➡️
www.jneurosci.org/content/46/4...
with
@lauragwilliams.bsky.social
&
@mvandermosten.bsky.social
🤝 Check out
@stanfordbrain.bsky.social
’s summary of it ⬇️
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Marianne de Heer Kloots
4 months ago
'Tis the season to preprint BBS commentaries; I'm happy to share ours too! 🎄✨ The textual basis of current LLMs causes trouble, but linguistically relevant insights *can* be found in systems modelling the more natural form of human spoken language: the speech signal itself.
arxiv.org/abs/2512.14506
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Laura Gwilliams
5 months ago
proud to share this work, led by the brilliant
@ilinabg.bsky.social
, now out in Nature! Ilina finds that speech-sound neural processing is VERY similar in a language you know and one you don't. differences only emerge at the level of word boundaries and learnt statistical structure 🧠✨
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Violet Chae
5 months ago
Our new preprint on the FOODEEG open dataset is out! EEG recordings and behavioural responses on food cognition tasks for 117 participants will be made publicly available 🧠
@danfeuerriegel.bsky.social
@tgro.bsky.social
www.biorxiv.org/content/10.1...
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FOODEEG: An open dataset of human electroencephalographic and behavioural responses to food images
Investigating the neurocognitive mechanisms underlying food choices has the potential to advance our understanding of eating behaviour and inform health-targeted interventions and policy. Large, publi...
https://www.biorxiv.org/content/10.1101/2025.11.07.687287v1
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Laura Gwilliams
5 months ago
happy to share our new paper, out now in Neuron! led by the incredible Yizhen Zhang, we explore how the brain segments continuous speech into word-forms and uses adaptive dynamics to code for relative time -
www.sciencedirect.com/science/arti...
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Human cortical dynamics of auditory word form encoding
We perceive continuous speech as a series of discrete words, despite the lack of clear acoustic boundaries. The superior temporal gyrus (STG) encodes …
https://www.sciencedirect.com/science/article/pii/S0896627325007925
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Jill Kries
5 months ago
I am so honored to have received an Outstanding PhD Thesis award from the Luxembourg National Research Fund
@fnr.lu
! 🏆 My PhD research was about how language is processed in the brain, with a focus on patients with a language disorder called aphasia 🧠 Find out more➡️
youtu.be/E-Zww-B1jFQ?...
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FNR Awards 2025: Outstanding PhD Thesis - Jill Kries
YouTube video by FNRLux
https://youtu.be/E-Zww-B1jFQ?si=Tii1ndVjXAqoIgUB
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Laura Gwilliams
6 months ago
Delighted to share our new paper, now out in PNAS!
www.pnas.org/doi/10.1073/...
"Hierarchical dynamic coding coordinates speech comprehension in the brain" with dream team
@alecmarantz.bsky.social
,
@davidpoeppel.bsky.social
,
@jeanremiking.bsky.social
Summary 👇 1/8
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PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
https://www.pnas.org/doi/10.1073/pnas.2422097122
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Ian Phillips
6 months ago
Fantastic commentary on
@smfleming.bsky.social
&
@matthiasmichel.bsky.social
's BBS paper by
@renrutmailliw.bsky.social
,
@lauragwilliams.bsky.social
& Hinze Hogendoorn. Hits lots of nails on the head. As
@neddo.bsky.social
& I also argue: postdiction doesn't prove consciousness is slow! 1/3
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dorottya hetenyi
6 months ago
Super happy to share my very first first-author paper out in
@sfnjournals.bsky.social
! We show content-specific predictions are represented in an alpha rhythm. It’s been a beautiful, inspiring, yet challenging journey. Huge thanks to everyone, especially
@peterkok.bsky.social
@jhaarsma.bsky.social
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Peter Kok
6 months ago
@dotproduct.bsky.social
's first first author paper is finally out in
@sfnjournals.bsky.social
! Her findings show that content-specific predictions fluctuate with alpha frequencies, suggesting a more specific role for alpha oscillations than we may have thought. With
@jhaarsma.bsky.social
. 🧠🟦 🧠🤖
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Contents of visual predictions oscillate at alpha frequencies
Predictions of future events have a major impact on how we process sensory signals. However, it remains unclear how the brain keeps predictions online in anticipation of future inputs. Here, we combin...
https://www.jneurosci.org/content/early/2025/10/15/JNEUROSCI.0474-25.2025.abstract
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Hugo Spiers
6 months ago
Age and gender distortion in online media and large language models "Furthermore, when generating and evaluating resumes, ChatGPT assumes that women are younger and less experienced, rating older male applicants as of higher quality." No surprise, but now documented:
www.nature.com/articles/s41...
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Age and gender distortion in online media and large language models - Nature
Stereotypes of age-related gender bias are socially distorted, as evidenced by the age gap in the representations of women and men across various media and algorithms, despite no systematic age differ...
https://www.nature.com/articles/s41586-025-09581-z
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Laura Gwilliams
7 months ago
really fun getting to think about the "time to consciousness" with this dream team! we discuss interesting parallels between vision and language processing on phenomena like postdictive perceptual effects, among other things! check it out 😄
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Julian Matthews
7 months ago
🚨 Out now in
@commspsychol.nature.com
🚨
doi.org/10.1038/s442...
Our
#RegisteredReport
tested whether the order of task decisions and confidence ratings bias
#metacognition
. Some said decisions → confidence enhances metacognition. If true, decades of findings will be affected.
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New BBS article w/
@lauragwilliams.bsky.social
and Hinze Hogendoorn, just accepted! We respond to a thought-provoking article by
@smfleming.bsky.social
&
@matthiasmichel.bsky.social
, and argue that it's premature to conclude that conscious perception is delayed by 350-450ms:
bit.ly/4nYNTlb
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OSF
http://bit.ly/4nYNTlb
7 months ago
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Bryan M. Li
7 months ago
We present our preprint on ViV1T, a transformer for dynamic mouse V1 response prediction. We reveal novel response properties and confirm them in vivo. With
@wulfdewolf.bsky.social
, Danai Katsanevaki,
@arnoonken.bsky.social
,
@rochefortlab.bsky.social
. Paper and code at the end of the thread! 🧵1/7
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Malcolm Campbell
7 months ago
🚨Our preprint is online!🚨
www.biorxiv.org/content/10.1...
How do
#dopamine
neurons perform the key calculations in reinforcement
#learning
? Read on to find out more! 🧵
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Monica Ellwood-Lowe
7 months ago
I’m hiring!! 🎉 Looking for a full-time Lab Manager to help launch the Minds, Experiences, and Language Lab at Stanford. We’ll use all-day language recording, eye tracking, & neuroimaging to study how kids & families navigate unequal structural constraints. Please share:
phxc1b.rfer.us/STANFORDWcqUYo
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Research Coordinator, Minds, Experiences, and Language Lab in Graduate School of Education, Stanford, California, United States
The Stanford Graduate School of Education (GSE) seeks a full-time Research Coordinator (acting lab manager) to help launch and coordinate the Minds,.....
https://phxc1b.rfer.us/STANFORDWcqUYo
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Nadine Dijkstra
7 months ago
Looking forward to
#ICON2025
next week! We will have several presentations on mental imagery, reality monitoring and expectations: To kick us off, on Tuesday at 15:30, Martha Cottam will present: P2.12 | Presence Expectations Modulate the Neural Signatures of Content Prediction Errors
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Jill Kries
7 months ago
In August I had the pleasure to present a poster at the Cognitive Computational Neuroscience (CCN) conference in Amsterdam. My poster was about 𝘁𝗵𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝗮𝗹 𝘁𝗿𝗮𝗷𝗲𝗰𝘁𝗼𝗿𝘆 𝗮𝗻𝗱 𝗻𝗲𝘂𝗿𝗼𝗮𝗻𝗮𝘁𝗼𝗺𝗶𝗰𝗮𝗹 𝗰𝗼𝗿𝗿𝗲𝗹𝗮𝘁𝗲𝘀 𝗼𝗳 𝘀𝗽𝗲𝗲𝗰𝗵 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝗼𝗻 🧒➡️🧑 🧠
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Benjamin Lowe
8 months ago
🚨Pre-print of some cool data from my PhD days!
doi.org/10.1101/2025...
☝️Did you know that visual surprise is (probably) a domain-general signal and/or operates at the object-level? ✌️Did you also know that the timing of this response depends on the specific attribute that violates an expectation?
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The Latency of a Domain-General Visual Surprise Signal is Attribute Dependent
Predictions concerning upcoming visual input play a key role in resolving percepts. Sometimes input is surprising, under which circumstances the brain must calibrate erroneous predictions so that perc...
https://doi.org/10.1101/2025.08.18.670829
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Greta Tuckute
8 months ago
Humans largely learn language through speech. In contrast, most LLMs learn from pre-tokenized text. In our
#Interspeech2025
paper, we introduce AuriStream: a simple, causal model that learns phoneme, word & semantic information from speech. Poster P6, tomorrow (Aug 19) at 1:30 pm, Foyer 2.2!
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Laura Gwilliams
8 months ago
looking forward to seeing everyone at
#CCN2025
! here's a snapshot of the work from my lab that we'll be presenting on speech neuroscience 🧠 ✨
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Manikya Alister
8 months ago
We know that a consensus of opinions is persuasive, but how reliable is this effect across people and types of consensus, and are there any kinds of claims where people care less about what other people think? This is what we tested in our new(ish) paper in
@psychscience.bsky.social
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Benjamin Lowe
9 months ago
I really like this paper. I fear that people think the authors are claiming that the brain isn’t predictive though, which this study cannot (and does not) address. As the title says, the data purely show that evoked responses are not necessarily prediction errors, which makes sense!
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PLOS Biology
11 months ago
It takes time for the
#brain
to process information, so how can we catch a flying ball?
@renrutmailliw.bsky.social
&co reveal a multi-stage
#motion
#extrapolation
occurring in the
#HumanBrain
, shifting the represented position of moving objects closer to real time
@plosbiology.org
🧪
plos.io/3Fm83Fc
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PLOS Biology
11 months ago
It takes time for the
#brain
to process information, so how can we catch a flying ball? This study provides evidence of multi-stage
#motion
#extrapolation
occurring in the
#HumanBrain
, shifting the represented position of moving objects closer to real time
@plosbiology.org
🧪
plos.io/3Fm83Fc
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Will Turner
Dan Feuerriegel
11 months ago
New preprint from the lab! We used EEG⚡🧠 to map how 12 different food attributes are represented in the brain. 🍎🥦🥪🍙🍮
www.biorxiv.org/content/10.1...
Led by Violet Chae in collaboration with
@tgro.bsky.social
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Characterising the neural time-courses of food attribute representations
Dietary decisions involve the consideration of multiple, often conflicting, food attributes that precede the computation of an overall value for a food. The differences in the speed at which attribute...
https://www.biorxiv.org/content/10.1101/2025.05.13.653572v1
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Greta Tuckute
11 months ago
What are the organizing dimensions of language processing? We show that voxel responses during comprehension are organized along 2 main axes: processing difficulty & meaning abstractness—revealing an interpretable, topographic representational basis for language processing shared across individuals
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New paper out in
@plosbiology.org
w/ Charlie,
@phil-johnson.bsky.social
, Ella, and Hinze 🎉 We track moving stimuli via EEG, find evidence that motion is extrapolated across distinct stages of processing + show how this effect may emerge from a simple synaptic learning rule!
tinyurl.com/2szh6w5c
11 months ago
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Will Turner
Ayelet Landau
11 months ago
📣cog neuro postdoc opportunity! Interested in studying attention & exploration w/ cutting edge M/EEG? 🧠care about making vision science a bit more naturalistic? 🌱LandauLab is hiring! We seek resourceful, curious and creative researchers who can join the newly forming London-based
[email protected]
! ...
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UCL – University College London
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=14163&nPostingTargetId=34533&id=Q1KFK026203F3VBQBLO8M8M07&LG=UK&languageSelect=UK&mask=ext
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Jean-Rémi King
11 months ago
I'm very pleased to share our latest study: ‘Emergence of Language in the Developing Brain’, by L Evanson, P Bourdillon et al: - Paper:
ai.meta.com/research/pub..
. - Blog:
ai.meta.com/blog/meta-fa..
. - Thread below 👇
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Matthias Michel
12 months ago
Very happy to announce that our paper “Sensory Horizons and the Functions of Conscious Vision” is now out as a target article in BBS!!
@smfleming.bsky.social
and I present a new theory of the evolution and functions of visual consciousness. Article here:
doi.org/10.1017/S014...
. A (long) thread 🧵
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Sensory Horizons and the Functions of Conscious Vision | Behavioral and Brain Sciences | Cambridge Core
Sensory Horizons and the Functions of Conscious Vision
https://doi.org/10.1017/S0140525X25000068
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Floris de Lange
12 months ago
In
@elife.bsky.social
: Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding during natural listening
doi.org/10.7554/eLif...
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Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding during natural listening
https://doi.org/10.7554/eLife.106543
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Laura Gwilliams
12 months ago
Check out the latest -From Our Neurons To Yours- podcast episode! I discuss my work using large speech and language systems as "model species" to understand how the human brain processes language 🧠
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Tom Wallis
about 1 year ago
Very happy that this primer on software engineering principles for psychology and cognitive neuroscience is now out! This was a great joint project between my group (lead by postdoc Yunyan Duan) and
@martinhebart.bsky.social
's group (led by
@rothj.bsky.social
).
#psychology
#cogsci
#neuroskyence
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Greta Tuckute
about 1 year ago
PINEAPPLE, LIGHT, HAPPY, AVALANCHE, BURDEN Some of these words are consistently remembered better than others. Why is that? In our paper, just published in J. Exp. Psychol., we provide a simple Bayesian account and show that it explains >80% of variance in word memorability:
tinyurl.com/yf3md5aj
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APA PsycNet
https://tinyurl.com/yf3md5aj
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Cory Shain
about 1 year ago
Paper:
doi.org/10.1101/2025...
Parcellate codebase:
github.com/coryshain/pa...
Study-specific codebase:
github.com/coryshain/la...
Data repository (under construction):
openneuro.org/datasets/ds0...
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GitHub - coryshain/parcellate: A library for parcellating individual brains based on functional correlation
A library for parcellating individual brains based on functional correlation - coryshain/parcellate
https://github.com/coryshain/parcellate
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Will Turner
Cory Shain
about 1 year ago
New brain/language study w/
@evfedorenko.bsky.social
! We applied task-agnostic individualized functional connectomics (iFC) to the entire history of fMRI scanning in the Fedorenko lab, parcellating nearly 1200 brains into networks based on activity fluctuations alone.
doi.org/10.1101/2025...
. 🧵
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A language network in the individualized functional connectomes of over 1,000 human brains doing arbitrary tasks
A century and a half of neuroscience has yielded many divergent theories of the neurobiology of language. Two factors that likely contribute to this situation include (a) conceptual disagreement…
https://doi.org/10.1101/2025.03.29.646067
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Andrew Heiss
about 1 year ago
I’ve long used FiveThirtyEight’s interactive “Hack Your Way To Scientific Glory” to illustrate the idea of p-hacking when I teach statistics. But ABC/Disney killed the site earlier this month :( So I made my own with
#rstats
and Observable and
#QuartoPub
!
stats.andrewheiss.com/hack-your-way/
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Cory Shain
about 1 year ago
🚨 First preprint from the lab! 🚨 Josh Rozner (w/@weissweiler.bsky.social and
@kmahowald.bsky.social
) uses counterfactual experiments on LMs to show that word distributions can provide a learning signal for diverse syntactic constructions, including some hard cases.
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Constructions are Revealed in Word Distributions
Construction grammar posits that constructions (form-meaning pairings) are acquired through experience with language (the distributional learning hypothesis). But how much information about…
https://arxiv.org/abs/2503.06048
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Laura Gwilliams
about 1 year ago
i really enjoyed speaking at the LLMs, Cognitive Science, Linguistics, and Neuroscience workshop earlier this month!
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Will Turner
about 1 year ago
New layer-fMRI manuscript describing the predictive processing across layers of auditory areas. By Lonike Faes et al.
biorxiv.org/lookup/doi/1...
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