Excited to be at #CCN2026 in New York to present brand-new work with @kathadobs.bsky.social 🥳 By testing hundreds of categories, we found striking differences in functional specialization between visual cortex and DNNs 🧠 Come find me at poster F81 on Thursday 1:45-3:30 p.m. Happy to chat!

🔭JOB ALERT🔬 Fully-funded PhD (+ soon postdoc) openings in my lab @cimecunitrento.bsky.social in Italy, as part of an Italian FIS3 starting grant. TOPIC: Investigating predictive neural representations in naturalistic settings using MEG-based dynamic RSA

I'm at #CCN2026 in NYC with the following work: "System identification from raw EEG during clinical propofol sedation with an interpretable latent SDE model" 2026.ccneuro.org/poster/?id=m... Poster Session A, A12, Tuesday/August 4, 9:30 - 11:15 am.

My postdoc is coming to an end, so I'm looking for work! Let me know if you, or anyone you know, wants to hire a philosopher of biology/cognition with a knack for cross-disciplinary work, a focus on autonomy + agency, and experience writing for the broader public (10+ yrs in sci/tech journalism).

The postdoc position in our lab closes 20 July - get applying! :)

Peter Kok@peterkok.bsky.social · last mo.

The postdoc position is advertised here: www.ucl.ac.uk/work-at-ucl/... Deadline: 20 July. 2/3

Excited to see our work (Kolibius, Josselyn & Hanslmayr, TICS 2025) was cited in the most recent Kurzgesagt video on “How Is a Memory Stored Inside Your Brain”. It’s a fantastic video and I recommend watching it! Video: youtube.com/watch?v=Pqtg... Paper: www.cell.com/trends/cogni...

How Is a Memory Stored Inside Your Squishy Brain?

YouTube video by Kurzgesagt – In a Nutshell

youtube.com

🧠 New preprint! How well can current algorithms *actually* detect neural "replay" in the human brain under absolutely optimal conditions? We built FASTIMAGES: A combined MEG + fMRI benchmark with KNOWN neural sequences, so replay-detection methods can finally be validated against a ground truth.

FASTIMAGES: Validating replay detection methods in human neuroimaging

A combined MEG + fMRI benchmark dataset with known neural sequences to validate replay detection methods (TDLM and SODA).

cimh-clinical-psychology.github.io

Can’t wait to see everyone at #VSS2026! We hope you can make it to our lab’s presentations! (see below) Come and visit us at the talks and posters, and make sure you come to our workshop about the community replication initiative re:vision. Low bar for entry! Details on the day of each presentation!

Kaiser Lab is at @vssmtg.bsky.social with 6 posters and 3 talks! 👁️🏖️☀️ Come check out our works!

It's #VSS2026 time! We're super excited to be back and presenting some exciting, ongoing projects in the lab. Come by and say hi! 🤗

Are you attending #VSS2026? Come check out my talk on cross-species alignment for finding shared and distinct representational geometries in primate IT. Saturday, May 16, 2026, 3.30pm, Talk Room 1

Two postdoc opportunities @yale.edu in human neurophysiology. One position in my lab @wutsaiyale.bsky.social focusing on human cognitive neurophysiology. Details at helfrich-lab.com/news/ Plus a possible collab with anesthesiology 👇 #NeuroTwitter #NeuroJobs #neuroskyence #EEG Please share.

If you're looking for a PhD position, I recommend this. Benedikt is great to work with!

Benedikt Zoefel@benediktzoefel.bsky.social · 4mo ago

📢**PhD position #NeuroJobs ** I'm looking for a PhD candidate to work on infraslow rhythms in neurophysiological data. Application deadline: 20th May. Please see here for details: benediktzoefel.wixsite.com/home/phd

Can we really measure replay in humans using MEG with current methods? In our most recent paper we simulated replay under realistic conditions via a novel hybrid approach with astonishing results. we're delighted that it has now been published @elife.bsky.social! elifesciences.org/articles/108...

TDLM-Resting-State Simulation

How sensitive is TDLM really? Can we actually find replay when we know it is present?

cimh-clinical-psychology.github.io

📢 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

Original is from 2021. Still relevant 🧠🟦 🧪 I wonder how many kinds of templates would be needed to capture most “canned” cog/neuro science out there…

Federico Adolfi@fedeadolfi.bsky.social · 6mo ago

[Cognitive capacity nobody understands] is very important. However, the underlying neural mechanisms remain enigmatic. Here we show that [stimuli somehow related to the capacity] can be decoded from [spatiotemporal description]. Our results show that we can do what we did.

🧨 Preprint alert Is it easier to find a ball than a shoe? The answer lies in how variable we think these objects are in the real-world. www.biorxiv.org/content/10.6... w/ the amazing @dkaiserlab.bsky.social & @luchunyeh.bsky.social 🦄 🧵1/8

New PhD and post-doc job openings! Join me and Prof. Nina Kazanina @ Uni Geneva, Switzerland, to take part in an exciting project on relations and binding in language and vision, explored with cutting-edge neurophysiology (#iEEG and MEG). Full details in the job offer below.

Finally out in eLife!! "Early foveal cortex predicts the features of saccade targets through feedback from higher cortical areas." elifesciences.org/articles/107...

Feedback of peripheral saccade targets to early foveal cortex

Low-level features of peripheral saccade targets are fed back to early foveal retinotopic cortex in a signal that resembles activation elicited by direct foveal presentation.

elifesciences.org

Martin Hebart@martinhebart.bsky.social · last yr.

We make about 3-4 fast eye movements a second, yet our world appears stable. How is this possible? In a preprint led by @lucakaemmer.bsky.social we test the intriguing idea that anticipatory signals in the fovea may explain visual stability. www.biorxiv.org/content/10.1...

🔔✨Call for papers and symposia on Frances Egan’s (@francesegan.bsky.social) ‘Deflating Mental Representation’ (13/04 - 15/04) alongside Neural Mechanisms Online and Philosophy and the Mind Sciences (@phimisci.bsky.social)! More info: tinyurl.com/NMO-ISPSM and tinyurl.com/Phimisci-Egan #philsky

main goal for this year: find a new job! 🙂 looking for a role with fun & complex technical challenges & within a great community. my main expertise is in signal processing/EEG/MEG, but topic-wise I am quite flexible. science/industry both great! starting mid-year. nschawor.github.io/cv

New preprint: Inference over hidden contexts shapes the geometry of conceptual knowledge for flexible behaviour. In this pre-reg study, our core claim was that we don’t just learn stimulus-reward. We infer hidden context and that inference re-wires attention and neural state space on the fly. 1/8

A “universal” pattern of cortical brain oscillations may be less ubiquitous than previously proposed. By @claudia-lopez.bsky.social #neuroskyence www.thetransmitter.org/brain-waves/...

Dispute erupts over universal cortical brain-wave claim

The debate highlights opposing views on how the cortex transmits information.

thetransmitter.org

Good postdoc opportunity ⬇️

Juan Linde-Domingo@lindedomingo.bsky.social · 8mo ago

It’s official! The postdoc positions announcement is here 🚀 If you know great candidates interested in attention, memory transformation and EEG, please help spread the word: Project (ReDAS) -> cimcyc.ugr.es/en/informati... Job offer -> cimcyc.ugr.es/en/informati...

Spread the word: I'm looking to hire a postdoc to explore the concept of attention (as studied in psych/neuro, not the transformer mechanism) in large Vision-Language Models. More details here: lindsay-lab.github.io/2025/12/08/p... #MLSky #neurojobs #compneuro

Lindsay Lab - Postdoc Position

Artificial neural networks applied to psychology, neuroscience, and climate change

lindsay-lab.github.io

If you calculated noise ceilings (NC) based on split-half reliability - e.g. to compare models - this one is important! Seems many published studies miscalculated it, overestimating model performance. First, let's make this crystal clear: NC = 2*r / (1+r) where r is split-half correlation.

Sander van Bree@sandervanbree.bsky.social · 8mo ago

New preprint w/ Malin Styrnal & @martinhebart.bsky.social Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are. osf.io/preprints/ps...

We recently stumbled upon a surprisingly common misunderstanding in computing noise ceilings that can be quite consequential. So if you care about noise ceilings, please check out Sander’s thread and our preprint! 👇

Sander van Bree@sandervanbree.bsky.social · 8mo ago

New preprint w/ Malin Styrnal & @martinhebart.bsky.social Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are. osf.io/preprints/ps...

New preprint w/ Malin Styrnal & @martinhebart.bsky.social Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are. osf.io/preprints/ps...

Finally got the job ad—looking for 2 PhD students to start spring next year: www.gao-unit.com/join-us/ If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply! I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮

New Correspondence with @davidpoeppel.bsky.social in Nat Rev Neurosci. www.nature.com/articles/s41... Here, we critique a recent paper by Rosas et al. We argue that "Bottom-up" and "Top-down" neuroscience have various meanings in the literature. PDF: rdcu.be/eSKYI