Kording Lab 🦖 quendera CogCompNeuro feel free to drop a page break in there after the author list. content (abstract, intro, methods, results, discussion) should be 2 pages, but this is not counting title, author list, acknowledgements, and references!

Prof. Charles Dupras presenting at #GDO2022 on epigenetic discrimination: "The testing purpose problem - epigenetic testing can provide genetic information, thus providing indirect genetic testing. How should policies consider this?"

Fusing #MEG and #fMRI data, we observe the evolution from acoustic to semantically dominated representations in brain responses to naturalistic sounds: tandfonline.com/doi/full/10.10…

Lending a hand to my uncle in these difficult times. gofund.me/aaf99c74

Check out our new preprint! Amazing effort from all. Enjoy!

We are excited to announce that submissions for CCN 2023 are now open! The submission deadline for papers, Generative Adversarial Collaborations (GACs), and Keynote&Tutorials will be **31 March 2023** (earlier than previous years!). 2023.ccneuro.org

We are seeking out ideas for future Generative Adversarial Collaborations at CCN! Which challenges and controversies would you like to see discussed, and who should be involved? Let us know your ideas, even if you are not planning to submit a GAC. app.fillout.com/t/eAAUdbJ3S7us

sourcherries.github.io/blog/posts/mas… Want to know why #numpy masked arrays are awesome for #DataScience and research?

Interested in joining Mila's research community? Our annual supervision request process for new Mila students is starting this Sunday October 15, 2023. For more information ➡️ pulse.ly/62ldgu92bt

New paper from the lab now out in PNAS Nexus : Decoding face recognition abilities in the human brain. With Simon Faghel-Soubeyrand, Ph.D., Ian Charest & al.

📢Submissions for #CCN2024 are now open at ccneuro.org! 📢 We welcome submissions for 2-page papers (deadline: 12 April) and Generative Adversarial Collaborations (GACs), Keynote+Tutorials, and (new this year!) Community Events (deadline: 5 April).

1/13 Heavily updated preprint! arxiv.org/abs/2209.11737 We show that the contextual information encoded in Large Language Models (LLMs) is beneficial for modelling the complex visual information extracted by the brain from natural scenes. 🧵

This is again some extraordinary work from the team. Enjoy.

Food truck will be out again today 11am-3pm! #CCN2024

We are looking for data from the community to help us prepare for #CCN2025! If you have a few minutes to help out, fill out this survey: forms.gle/6q6CA3VPp1f5rT… - due Aug 31 - 2-10 min (depending on how much optional feedback) - Open to *both* #CCN2024 attendees + non-attendees

🚨New pre-print! How do we form concept representations across vision and language? Using similarity judgements of natural scene images & sentence captions, we show that concepts are formed as structured representations reflecting stable, relational properties of the world.🧵