Thalamic bursts modulate cortical synchrony locally to switch between states of global functional connectivity in a cognitive task Author summary A novel machine-learning method was applied to unveil the dynamics of local and cortex-wide neural coordination underlying the fundamental cognitive processes involved in a memory task....

And that paper could be the bridge: journals.plos.org/ploscompbiol...

This is gold, especially your preprint. It's like two research line from different background converge, here (elifesciences.org/reviewed-pre...) we show how single trial ERP aligned time align with perceptual/attentional and decision laws. Thanks for all the references, I'll take a close look!

Very interesting! John Anderson et al. did a similar thing a few years ago ('Bump related potentials') but from another, more cog psych, perspective: act-r.psy.cmu.edu/wordpress/wp... see also github.com/GWeindel/hmp

Maybe these 'bumps' are beta bursts!

Isn't it that hybrid (I.e. trying to get $ from subscription and OA) have the highest OA APC?

Refusal to Review I wrote the below email, when invited to review a paper that was partially processed by ChatGPT. As I imagine the email could be useful inspiration for others, I decided to make it available. Feel …

“Feel free to adapt and reuse. No attribution needed (…) If you make an adaption that you also want to share, I’d love to know about it, too.”

irisvanrooijcogsci.com/2026/04/08/r...

A very nice little conference in the memory of a brilliant colleague Laurence Questienne. Consider attending if you're into cognitive control, performance monitoring and listening to talks while seeing the Mediterranean sea

When recording experimental data, have you ever:
1) overwritten data?
2) changed the experiment and forgot when?
3) had a student leave the lab leaving a mess of dataset?
4) noticed how everyone has their own way to transfer data?

We published a solution: LSLAutoBIDS - open science by design.

🧵

Barman et al. describe LSLAutoBIDS, an open-source #Python package that implements an automated workflow for data integration, curation, versioning, and publishing: doi.org/10.52294/001...

#OpenDatasets #SpecialIssue
@benediktehinger.bsky.social

Recommended, great lab also!

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 in Imaging Neuroscience by Lauren C. Fong, Daniel Feuerriegel, et al:

Tracing the neural trajectories of evidence accumulation and motor preparation processes during voluntary decisions

doi.org/10.1162/IMAG...

Exciting! Where's the Swiss garden?! 👩‍🌾👨‍🌾🧑‍🌾

CuttingGardens 2026 is back 🌍
Global EEG & MEG multi-hub meeting
📅 Save the date: Sept 21–25
20+ Gardens worldwide 🇦🇷🇦🇺🇧🇪🇨🇱🇨🇳🇨🇺🇫🇷🇩🇪🇮🇹🇳🇱🇵🇱🇪🇸🇨🇭🇹🇭🇹🇳🇬🇧🇺🇾🇺🇸🇳🇬🇰🇪🇪🇬🇹🇿
Join the movement 🌱
#EEG #MEG #Neuroscience #OpenScience #CuttingGardens

An initiative you might be interested in if you haven't seen it already :)

bsky.app/profile/ncla...

Oups sorry I should have said artifact correction. I typically use peak to peak rejection with a very high threshold. I can't speak for the authors but personally I do still do p-to-p after GEDAI but for the same dataset my rejection rate went from 15% to 1% 😁

MNE compatible yes, worked very smoothly for me. It's developed mainly by @vferat.bsky.social

I would still avoid artifact corrections when possible but if unavoidable that will probably be my goto from now on!

Links:
- paper : www.biorxiv.org/content/10.1...
- python package that I'm using (but there's also matlab) github.com/neurotuning/...

OK folks, this is a very convincing EEG artifact rejection method both theoretically and practically from my short experience. It's the only method I tried that gets rid of pervasive artifacts in a dataset I'm currently analyzing!

Walkthrough video of "Return of the GEDAI: Unsupervised EEG denoising based on Leadfield Filtering" YouTube video by MrTomasros

youtu.be/qSM5narynzc?...

Very interesting and cool joint modeling! My understanding is: estimate inter-trial variability of drift rate in DDM and prey that it's not also another underlying mechanism that generates slow errors (as is probably the case)

Super excited to share that our paper, “Multiple Partially Overlapping Neural Modules Orchestrate Conflict Processing,” has been accepted for publication in Imaging Neuroscience! 🎉
1/n

w/ @tgro.bsky.social @manuelvarlet.bsky.social Edmund Wascher, Patrick Gajewski

direct.mit.edu/imag/article...

"If everyone thinks technological trends are inescapable, they probably will become so. That is why those serious about the human prospect should reject the rhetoric of fatalism and demand something more substantial."

A new meta analysis from the lab based on an open meta-dataset we have curated in the past few years

No, “AI” is not a Stochastic Parrot 🦜 I’ve recently come across a new flavor of AI denialism making the rounds.

"AI" is not a stochastic parrot.🦜
I wrote this piece a couple weeks ago, but it was hard for me to finish up given AI's role in society and war over the past few weeks. I should share it at some point though. Not perfect, but here it is.
medium.com/@margarmitch...

I usually don't rant on stuff here but not sharing your position on that topic makes an implicit signal that you're fine with it, especially for younger researchers.

The only use I see, is a coding agent for stuff that I know how to do, but where I get lost in syntax. But even for that I want open source models not over-trained by precarious workers/modern slaves to impress investors.

Pressure to use genAI for #ECR is quite high, I feel it weekly... ethical, ecological, economical, privacy- and cognitive-related worries keeps me from joining that ship.
I need more time to research not something that creates the illusion of reasoning, if that costs grants or positions, let it be.

"My First Pull Request": A Beginners Guide to Open Source with PsychoPy Make your first pull request and learn how to get started in the world of Open Source Projects!

Want to learn how to contribute to #opensource? 👩‍💻👨‍💻

Never used #Git before?

Join us for our free beginner-friendly workshop and learn the basics of contributing to open source projects like #psychopy

🗓 March 19th
⏰ 12:00 PM (UK time)

Everyone is welcome 🚀
www.eventbrite.co.uk/e/my-first-p...

Based on our WhereToPublish database, we were curious to see if the APCs depend on the publisher type and with relatively no surprise at all, the journals that are for-profit are way above:
For-profit journals = 2635 +/- 37€ (mean +/- sem)
Non-profit & University Press journals = 1996 +/- 63€
1/4

Dear all, I'm happy to present you a side project done with @diegoharta.bsky.social @phylogenetrips.bsky.social & Lucas Baudouin regarding the publication landscape in Biology: wheretopublish.github.io 1/4