@neurogima
Postdoctoral researcher CNRS, INT, Aix-Marseille with @brungio.bsky.social Brain waves with MiEEG | Computational Modelling and ML | Auditory + Semantic | Consciousness | Methodologies for #openscience | heavy git user and all things FLOSS he/any 🏳️🌈
When #AI “thinks” like us - New research out now in @nature.com from @lukasmut.bsky.social & @lampinen.bsky.social & @tuberlin.bsky.social & @mpib-berlin.bsky.social forms a bridge between #human and #machine representation. tinyurl.com/nhd4ycsh
🥳 I am incredibly humbled and grateful to share that our work, "Aligning machine and human visual representations across abstraction levels," has been published today in @nature.com ⬇️
this week at #PracticalMEEG2025 in Aix!
having run an MEG pipeline by trial and error, I was doubting myself between all parameters. lectures on the analysis steps + hands-on application together were very helpful!
& seeing women on stage sharing what they're excited about just hits different ⭐️
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$!
It feels very good to now see this approach also in (neuroscientific) conferences.
Having such a great pin always helps too
#PracticalMEEG2025
Wondering if you should use it for your analysis questions, or how to responsibly use Agentic AI? 🤔
Join the PracticalMEEG keynote: "AI use in M/EEG analyses: How to be a (good) practitioner in the LLM era?" Pr. Sylvain Chevallier.
Today at 17:30 CET 🚀
Join via Zoom: us06web.zoom.us/j/8867768370...
🚨 New preprint! Impact of Task Similarity and Training Regimes on Cognitive Transfer and Interference 🧠
We compare humans and neural networks in a learning task, showing how training regime and task similarity interact to drive transfer or interference.
www.biorxiv.org/content/10.1...
At the #OPM conference in Marseille @robertoostenveld.bsky.social reminded us the importance to take care of our FOSSS software we use and develop. Adopt the practices from the paper led by @brittawestner.bsky.social and co-authored by the main MEEG toolbox developers
direct.mit.edu/imag/article...
📌 We lay the groundwork for a generative neurophenomenology:
→ integrating first-person experiential data (e.g. micro-phenomenology) at dyadic level
→ with third-person data at the interpersonal, physiological level
→ formalized with modern computational frameworks (2/3)
Join us for the Re-Align^{3} community event & hackathon at #CCN2025 in room A2.11! There will be lots of 🌶️ discussions on 🧠🤖
The moment we've all been waiting for— #CCN2025 is HERE! Today we start with satellite events, and tomorrow the main conference begins in Amsterdam! We'll be sharing daily updates about each day's program, so follow the CCN account to stay in the loop. Can't wait to see everyone!
We are recruiting two PhD students on cortical folding variability and organisation before birth, using fetal MRI. Come and join a motivated and happy team with tons of great fetal data, in a sunny, friendly, and inclusive environment.
tinyurl.com/foldsOrganis...
tinyurl.com/foldingVaria...
🚨 Only 4 days left! 🚨
Don't miss this chance: The ILCB is offering 1 postdoc position (2 years) in Language, Communication & the Brain.
🗓️ Deadline: May 20, 2025
👉 Apply now: www.ilcb.fr/postdoc-call/
#PostdocOpportunity #CognitiveScience #Neuroscience #LanguageResearch #ScienceJobs #AcademicJobs
Not just a color blindness topic: some color maps create the effect of artificial boundaries that are simply not there in the data
www.nature.com/articles/s41...
Can LLMs be used to discover interpretable models of human and animal behavior?🤔
Turns out: yes!
Thrilled to share our latest preprint where we used FunSearch to automatically discover symbolic cognitive models of behavior.
1/12
We are very excited to announce the open release of a new 170 participant dataset: Linked MEG, TMS, multimodal 3T MRI, 7T MRI, Connectom MRI, cognitive /questionnaire data. Immense effort from a fabulous
CUBRIC team. Paper by Carolyn McNabb et al: doi.org/10.1038/s415...
In the group we will need some large scale online behaviorals to be integrated with our MEG data and modelling.
Yesterday's 1.5 hours tutorial on Pavlovia was everything you need to start in no time.
Thanks @hirstrj.bsky.social and @psychopy.bsky.social
Scientists, academics, researchers: We’re excited to share that @altmetric.com is now tracking mentions of your research on Bluesky! 🧪
#CogNeuro seeks unified theories of behavioral, physiological, and mental states. To this aim, our #NatureNeuro Perspective proposes a new framework centered on #TaskDemands & across-task generalization. www.nature.com/articles/s41...
w/ @aschmid.bsky.social S.Kaplan @cibaker.bsky.social D.Kravitz🧵
HOI: A Python toolbox for high-performance estimation of Higher-Order Interdependencies from multivariate data 🚀
Here is the link to the paper 🌐
Documentation with theoretical background about the metrics and some useful examples here
brainets.github.io/hoi/
Have fun🛝
And give us feedback
HOI: A Python toolbox for high-performance estimation of Higher-Order Interdependencies from multivariate data
joss.theoj.org/papers/10.21...
Weaker brain wiring constraints increase multifinality in network outcomes. Specifically, when you weaken the drive to connect neighbours you get more topologically dissimilar networks. Whereas when you weaken the distance penalty, you get connections forming in different places.
How did we test this? Starting with a neonatal seed network, we simulated the formation of new connections using a computational model. We varied the modelling constraints, and tested whether systematic changes in those constraints shift the properties of the resulting networks
*New paper*
W/ Sofia Carozza (not a twit) & @danakarca.bsky.social, in PNAS
The adaptive stochasticity hypothesis shorturl.at/clz02 Bottom line: heightened stochasticity makes brains robust to random/targeted attacks, but more often results in non-normative phenotypes
Mini thread below!
Happy to share our work on 🧠 graph structure learning from EEG ✨ wherein we use eigenmodes of learned graphs to decompose EEG maps & extract features.
Paper: doi.org/10.1016/j.bs...
#neuroskyence #compneurosky #neuroimaging #EEG
🧵 ⤵️
Being Neurodivergent in academia. A new sparks of change series. Text is accompanied by an orange illustration of a stick figure sitting on a brain.
We’re pleased to announce a new #SparksOfChange series of personal stories from #neurodivergent researchers navigating academia. Our first two stories are from authors who both received their diagnoses as adults. 1/4 elifesciences.org/inside-elife...