Meet & discuss with the 3 winning teams 🏆 of the 🌍-wide Algonauts Challenge 2025 (@algonautsproject.bsky.social).

Join us for a deep dive into predicting 🧠 activity from natural movies with teams from @mpicbs.bsky.social & Meta Research.

🗓️ April 21 | 4 PM (CET)
📍 MPI CBS & Zoom (link below)

Event page: www.cbs.mpg.de/events/45422...

More on CBS CoCoNUT:

www.cbs.mpg.de/en/cbs-coconut

Meet & discuss with the 3 winning teams 🏆 of the 🌍-wide Algonauts Challenge 2025 (@algonautsproject.bsky.social).

Join us for a deep dive into predicting 🧠 activity from natural movies with teams from @mpicbs.bsky.social & Meta Research.

🗓️ April 21 | 4 PM (CET)
📍 MPI CBS & Zoom (link below)

🧠 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

1/N: Dear colleagues, I would like to share a new paper on the subiculum, part of my PhD with the Neural Computation Group @andrejbicanski.bsky.social @mpicbs.bsky.social . We present “A theory of subicular function and generalized vector coding” that we call Disco. www.biorxiv.org/content/10.6...

⚠️ #CCN2026 submissions close soon!

→ GACs, Keynotes, Tutorials & Community Events: March 31 (AoE)
→ Extended Abstracts: April 2 (AoE)

CCN brings together cognitive science, neuroscience, and AI to discuss the computations underlying complex behavior.

Submit your work now!

1/N: Dear cognitive map fans, I’d like to share a model I’ve been working on for a while (clearing backlog :). I show how a vector navigation architecture (VNA) and a “positional inference network” (PIN) can build Universal Cognitive Maps (UCMs) for abstract spaces.

www.biorxiv.org/content/10.6...

GitHub - seelikat/neuro-visual-reconstruction-dataset-index: Index and overview of neuroimaging datasets for visual perception reconstruction. Index and overview of neuroimaging datasets for visual perception reconstruction. - seelikat/neuro-visual-reconstruction-dataset-index

I recently created this overview of fMRI datasets for visual reconstruction, aimed at AI/ML people.

Originally this was a 2018 post on a now inactive PhD lab blog. I had drafts expanding it for long time and thought now it's about time.

RFC and feel free to share :)

github.com/seelikat/neu...

Directors The Max Planck Society offers Directors a unique platform for groundbreaking research and leadership in diverse scientific fields.

Open Call for Expressions of Interest: become a Max Planck Director & redefine what’s possible in science! We offer scientific independence, long-term stable funding & exceptional infrastructure. Lead your own department & open new frontiers of research. Apply by 31 Oct 2025 → www.mpg.de/directors

Interested in the brain 🧠 & in doing a PhD 👩‍🎓 🧑‍🎓 in the field of Cognitive NeuroImaging @mpicbs.bsky.social @unileipzig.bsky.social @tudresden.bsky.social @uclbrainscience.bsky.social? Check out lnkd.in/egb9quuj & apply until 📅 Nov 2 through lnkd.in/eepFkaJs. 👉Excited to receiving your application! 🤩

🧠 New preprint: Why do deep neural networks predict brain responses so well?
We find a striking dissociation: it’s not shared object recognition. Alignment is driven by sensitivity to texture-like local statistics.
📊 Study: n=57, 624k trials, 5 models doi.org/10.1101/2025...

Music genre neuroimaging dataset This dataset includes functional magnetic resonance imaging (fMRI) data collected while five subjects extensively listened to 540 music pieces from 10…

Music genre fMRI dataset by Nishimoto lab: www.sciencedirect.com/science/arti...

New Open dataset alert:
🧠 Introducing "Spacetop" – a massive multimodal fMRI dataset that bridges naturalistic and experimental neuroscience!

N = 101 x 6 hours each = 606 functional iso-hours combining movies, pain, faces, theory-of-mind and other cognitive tasks!

🧵below

Dimensions underlying the representational alignment of deep neural networks with humans - Nature Machine Intelligence An interpretability framework that compares how humans and deep neural networks process images has been presented. Their findings reveal that, unlike humans, deep neural networks focus more on visual ...

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...

We're happy to announce the Berlin Consciousness Symposium, an in-person event bringing together expert speakers to discuss new trends in the neuroscience of consciousness.

Date: 3rd of July 2025 at @freieuniversitaet.bsky.social @ccnberlin.bsky.social

www.ewi-psy.fu-berlin.de/en/psycholog...

I'm super happy to see our project on topographic neural network models of visual processing out in @nathumbehav.nature.com! Have a look at @zejinlu.bsky.social's thread for details.

Thank you @lukasmut.bsky.social for the excellent talk & stimulating discussion!

For those who couldn’t join we will upload a recording soon.

Thank you @lukasmut.bsky.social for the excellent talk & stimulating discussion!

For those who couldn’t join we will upload a recording soon.

CBS CoCoNUT CBS CoCoNUT: A new interest group that comes together every two weeks to have an informal exchange about cognitive computational neuroscience.

Join us for the talk by @lukasmut.bsky.social (Google Deep Mind, TU Berlin) on

"Representational alignment of humans and machines for computer vision"

Starting soon at 10 AM (CET), March 28

Find the Zoom Link here: www.cbs.mpg.de/en/cbs-coconut

UCL NeuroAI Talk Series A series of NeuroAI themed talks organised by the UCL NeuroAI community. Talks will continue on a monthly basis.

ℹ️ Details and registration:
www.eventbrite.co.uk/e/ucl-neuroa...

Registration for CCN2025 is open! 2025.ccneuro.org/meeting-regi...

Tools and Software

We centralized our open-science contributions in a new "Tools & Software" section on our website; check out

- open stimuli (eg. 3D objects)
- open data (eg. MindBrainBody)
- tools (eg. excite-o-meter, AffectTracker)
- analysis scripts
- & more

www.cbs.mpg.de/departments/...

#researchtransparency

I'm looking forward to give a talk at this great event👇
about scilaunch 🚀

shescher.github.io/scilaunch/

scilaunch 🚀 is a small convenience tool that I developed with the goal of easing the launch of new research projects, providing a useful skeleton for data, code, and organizational aspects.

Re-Align returns to #ICLR2025! Please consider submitting if you work on how ML / CogSci / Neuro systems represent the world & what factors shape these representations 💭🧠🤖

w/ @thisismyhat.bsky.social @dotadotadota.bsky.social
@sucholutsky.bsky.social
@eringrant.bsky.social
@siddsuresh97.bsky.social

(1/4) The Algonauts Project 2025 challenge is now live!

Participate and build computational models that best predict how the human brain responds to multimodal movies!

Submission deadline: 13th of July.

#algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI

algonautsproject.com

🥥🚨 If you have missed the excellent lecture by Sebastian Lapuschkin on #XAI last month , his talk can be found on our website:

www.cbs.mpg.de/cbs-coconut/...

... among many other great talks. 🚨🥥

Logo of the MindBrainBody Symposium

📣 Come join us for the #MindBrainBody Symposium 2025!

📆 March 10-12, 2025
📍 Berlin & online
🔎 mindbrainbody.de

Keynotes:
- Ivan de Araujo
- Nadine Gogolla
- Maria Ribeiro @ribeironeuro.bsky.social
- Markus Ullsperger
- Tor Wager
- Veronica Witte @veronicawitte.bsky.social

#interoception

Dear friends of CBS CoCoNUT, this is a kind reminder of today's (Nov 27) talk by Sebastian Lapuschkin on next-gen explainable A.I. #XAI

3 PM (CET), live @ @mpicbs.bsky.social & on Zoom

iphome.hhi.de/lapuschkin/

@mpicbs.bsky.social

From attribution maps to human-understandable explanations through Concept Relevance Propagation - Nature Machine Intelligence Local methods of explainable artificial intelligence identify where important features or inputs occur, while global methods try to understand what features or concepts have been learned by a model. T...

Delighted to announce our next CBS CoCoNUT 🧠🥥🤖 talk by Sebastian Lapuschkin, whose work has shaped the field of explainable AI #XAI in the last decade.

When: Nov 27, 3 PM (CET)
Where: Lecture Hall @ MPI CBS
& Zoom (link here: www.cbs.mpg.de/en/cbs-coconut)

#AI #DeepLearning #interpretability #LRP