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.

Need more fMRI data (beyond the amazing NSD)? Introducing MOSAIC! Incredible effort led expertly by Ben Lahner, with help from grad student Mayukh Deb. Work in collaboration with the amazing Aude Oliva! @neurosky.bsky.social. More below..

Thrilled that my recent paper, Hippocampal Ripples during Offline Periods Predict Human Motor Sequence Learning, was selected for the “This Week in The Journal” highlight! 🤩 Huge thanks to @bstaresina.bsky.social and our collaborators who made this work possible! doi.org/10.1523/JNEU... #JNeurosci

Check out our new paper! We evaluate what we know (and don't know) about the link between memory consolidation during sleep and next-day learning 👇

What aspects of human knowledge do vision models like CLIP fail to capture, and how can we improve them? We suggest models miss key global organization; aligning them makes them more robust. Check out LukasMuttenthaler's work, finally out (in Nature!?) www.nature.com/articles/s41... + our blog! 1/3

Super excited to share a new preprint! We asked a simple-but-big question: What changes in the brain when someone becomes an expert? Using chess ♟️ + fMRI 🧠 + representational geometry & dimensionality 📈, we ask: 1️⃣ WHAT information is encoded? 2️⃣ HOW is it structured? 3️⃣ WHERE is it expressed? 1/n

Our "mind captioning" paper is now published in Science Advances @science.org . The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding. doi.org/10.1126/scia...

My Lab @unlv.edu is recruiting motivated students interested in human memory and brain research! Learn #EEG, #fMRI, and data analysis while exploring how we remember 🧠 📧 DM me or check out #PhD program www.unlv.edu/degree/phd-n... & www.unlv.edu/psychology/g... Plus, Vegas is a fun place to live!🤟

I wrote a thing on episodic memory and systems consolidation. I hope you all enjoy it and/or find it interesting. A neural state space for episodic memories www.sciencedirect.com/science/arti... #neuroskyence #psychscisky #cognition 🧪

Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan 🧠💬 1/n

A nice shift in perceived colour between central and peripheral vision. The fixated disc looks purple while the others look blue. The effect presumably comes from the absence of S-cones in the fovea. From Hinnerk Schulz-Hildebrandt: arxiv.org/pdf/2509.115...

🚨Preprint: Semantic Tuning of Single Neurons in the Human Medial Temporal Lobe 1/8: How do human neurons encode meaning? In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain: doi.org/10.1101/2025...

How well do classifiers trained on visual activity actually transfer to non-visual reactivation? #Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!

@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. 🧠🟦 🧠🤖

What do we talk about when we talk about "readout"? I argued that our overly specialized, modular approach to studying the brain has given us a simplistic view of readout. 🧠📈

Why do we remember emotional events so vividly? Our new paper @nathumbehav.nature.com suggests that emotional arousal enhances memory by strengthening integration across large-scale brain networks! Led by the amazing @jadynpark.bsky.social & @ycleong.bsky.social! doi.org/10.1038/s415...

A memory can be represented at different levels of granularity, from highly specific to generalized. Different representational formats of a memory can be used at different times or in different contexts, and draw on different neural representations. doi.org/10.31234/osf...

Our article is out in Annual Review of Vision Science: “Visual Image Reconstruction from Brain Activity via Latent Representation” We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...

New preprint! My stellar undergrad, June Kim, & @charan-neuro.bsky.social find that intersubject pattern similarity at encoding (especially in posteromedial cortex) relates to shared/differing content between Ss at recall (measured using topic modeling) www.biorxiv.org/content/10.1...

How does the brain🧠 make causal inferences and use memories to understand narratives🎬? We built an RNN🤖 with key-value episodic memory that learns causal relationships between events and retrieves memories like humans do! Preprint www.biorxiv.org/content/10.1... w/ @qlu.bsky.social, Tan Nguyen &👇

A transformation from vision to imagery in the human brain. Intriguing new preprint by Roy & Naselaris et al for anyone interested in mental imagery! www.biorxiv.org/content/10.1...

Quantifying memory recall is hard! Luckily, natural language processing (incl. #LLMs) offers new, automated, and scalable ways to do that! Great new review by Fenerci & @signysheldon.bsky.social in @cp-trendscognsci.bsky.social! www.cell.com/trends/cogni...

New paper with @rjantonello.bsky.social @csinva.bsky.social, Suna Guo, Gavin Mischler, Jianfeng Gao, & Nima Mesgarani: We use LLMs to generate VERY interpretable embeddings where each dimension corresponds to a scientific theory, & then use these embeddings to predict fMRI and ECoG. It WORKS!

🚨 Finally out in Nature Machine Intelligence!! "Visual representations in the human brain are aligned with large language models" 🔗 www.nature.com/articles/s42...

🚨 New preprint alert! Excited to share our latest work on alpha/beta activity, eye movements, and memory. Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory. 👇 Highlights (1/7):

New CNeuroMod-THINGS open-access fMRI dataset: 4 participants · ~4 000 images (720 categories) each shown 3× (12k trials per subject)· individual functional localizers & NSD-inspired QC . Preprint: arxiv.org/abs/2507.09024 Congrats Marie St-Laurent and @martinhebart.bsky.social !!

My first, first author paper, comparing the properties of memory-augmented large language models and human episodic memory, out in @cp-trendscognsci.bsky.social! authors.elsevier.com/a/1lV174sIRv... Here’s a quick 🧵(1/n)

Finally published: “Top-down and bottom-up neuroscience: overcoming the clash of research cultures” www.nature.com/articles/s41... Looking for ways to better understand different neuroscientific perspectives and enable productive collaborations

Excited to share our newly published paper! 👇 Massive thanks to @harrington-mo.bsky.social @sacairney.bsky.social @mggaskell.bsky.social

How reliable is OPM-MEG, and how does it compare to other neuroimaging modalities? 🤔 In a new preprint with ‪@s-michelmann.bsky.social‬, we evaluate the reliability of OPM-MEG within & between individuals, and compare it to fMRI & iEEG during repeated movie viewing. 🧠 📄 doi.org/10.1101/2025...

JOB ALERT: Computational Cognitive Neuroscience Postdoc position in Osaka, Japan! Possible start in October 2025 (contact me ASAP), or from April 2026. PLEASE REPOST! #postdocjobs #neuroskyence #neuroscience #psychscisky #compneurosky #neurojobs 1/

Happy 107th Birthday, Brenda Milner! Her contributions to neuropsychology shaped the way we understand the human brain. From surviving two world wars and two pandemics, to paving the way for future generations of researchers, Milner’s legacy continues. @mcgill.ca @cusm-muhc.bsky.social

Excited to share our News&Views on Kamitani Lab's NatComputSci paper! Their neural code converter enables transformation of brain activity patterns across individuals, and it doesn't need shared stimuli or connectivity information! www.nature.com/articles/s43...

The most brain-like representations of visual neural networks are also the most universal ones, i.e., they are largely independent of a network’s architecture or training. Cool new work by Chen & Bonner in #ScienceAdvances! #neuroAI www.science.org/doi/10.1126/...

What makes humans similar or different to AI? In a paper out in @natmachintell.nature.com led by @florianmahner.bsky.social & @lukasmut.bsky.social, w/ Umut Güclü, we took a deep look at the factors underlying their representational alignment, with surprising results. www.nature.com/articles/s42...

How does our brain learn that thunder follows lightning? We don't just remember two separate events; we build a predictive model to anticipate the world. My research dives into this very question: how we learn and predict the order of events. 🧵👇 1/9 #neuroscience #memory #sleep

New preprint alert 🚨 @xianhuihe.bsky.social shows how memories of learned object sequences reshape brain representational geometry—even when task-irrelevant. This change in representational format (linked to higher-level DNN features) correlates with amount of sleep www.biorxiv.org/content/10.1...

Congrats to our amazing postdoc @mskehl.bsky.social for their fantastic talk at the REPLAY conference in Cardiff! 🧠 Their work on "Human ripples facilitate memory consolidation by reactivating learning-related neurons" sparked many great discussions. Proud lab cheering him on!

Our EEG-Foundation Challenge, on more than 3,000 subjects, is accepted at #Neurips 2025, go check it out: eeg2025.github.io Led by B Aristimunha D Truong P Guetschel and SY Shirazi!

A Python Toolbox for Representational Similarity Analysis https://www.biorxiv.org/content/10.1101/2025.05.22.655542v1

New paper in Imaging Neuroscience by Tom Dupré la Tour, Matteo Visconti di Oleggio Castello, and Jack L. Gallant: The Voxelwise Encoding Model framework: A tutorial introduction to fitting encoding models to fMRI data doi.org/10.1162/imag...

(1/6) Thrilled to share our triple-N dataset (Non-human Primate Neural Responses to Natural Scenes)! It captures thousands of high-level visual neuron responses in macaques to natural scenes using #Neuropixels.

Have you wondered where scene perception and memory intersect in the brain? Do you want to localize these areas? In a preprint, @carolinerobertson.bsky.social, Deepa Prasad, Brenda Garcia, and I detail this topography and release these parcels and our localizer. www.biorxiv.org/content/10.1...

New paper out in SLEEP @sleepjournals.bsky.social! In his study, Jude Thom shows how cortical regions excited by tDCS before sleep express more spindles during subsequent sleep. doi.org/10.1093/slee... @oxexppsy.bsky.social @oxcin.bsky.social @ukri.org

Excited to share our new study on how respiration modulates neural dynamics during successful memory retrieval—led by @estebanbt.bsky.social, alongside the exceptional team of @fabian31415.bsky.social, @maritpetzka.bsky.social, @tobiasstaudigl.bsky.social, and @bstaresina.bsky.social. 👇

I am so happy—this is the first 1st author paper I have written, since the cancer diagnosis of my late wife seven years ago. 📑 PAPER ALERT: "Beyond binding: from modular to natural vision" in Trends in Cognitive Sciences (2025) sciencedirect.com/science/arti...

🔔 Action needed to save #Psychtoolbox New for PTB in 2025 is native support for 🍎 Apple Silicon and a new licence funding model. Importantly, PTB will remain 👐 open source. If you want to see PTB continue into the future, please support us by buying a licence at www.psychtoolbox.net

Reinstatement and transformation of memory traces for recognition | Science Advances www.science.org/doi/10.1126/...

join us at @oxexppsy.bsky.social | @ox.ac.uk!