Ian Charest retweeted
🚨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.🧵
Ian Charest retweeted
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/6q6CA3VPp1f5rTcTA
- due Aug 31
- 2-10 min (depending on how much optional feedback)
- Open to *both* #CCN2024 attendees + non-attendees
Ian Charest retweeted
Food truck will be out again today 11am-3pm! #CCN2024
Looking for lunch options? We have arranged for a food truck "Tandoor & Curry", today (Tue Aug 6) and tomorrow (Wed Aug 7) from 11am-3pm near Kresge Auditorium.
We've also put together some additional recommendations for local food options here:
2024.ccneuro.org/food/
Ian Charest retweeted
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. 🧵
Ian Charest retweeted
New paper from the lab now out in @PNASNexus : Decoding face recognition abilities in the human brain. With @SoubeyrandF, @IanCharest & al.
This Post is from an account that no longer exists. Learn more
Ian Charest retweeted
📢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).
Ian Charest retweeted
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
Ian Charest retweeted
sourcherries.github.io/blog/…
Want to know why #numpy masked arrays are awesome for #DataScience and research?
Ian Charest retweeted
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/eAAUdbJ3S7…
Ian Charest retweeted
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/
Ian Charest retweeted
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.…
Ian Charest retweeted
Prof. @DuprasCharles 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?"
Ian Charest retweeted
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!
Ian Charest retweeted
The deadline for Generative Adversarial Collaboration (GAC) workshops and Keynote+Tutorial proposals has been extended by a week to Tuesday, June 7.
Visit 2022.ccneuro.org/gac.php and 2022.ccneuro.org/keynotes_tu… for further details and to submit your proposal.
Ian Charest retweeted
With *5 days left* before the deadline for #ccneuro22 (submit now at ccneuro.org), we’ll be remembering a few highlights from our conferences to date. Over the coming 5 days, we’ll post videos of memorable sessions from our first five conferences, starting with…
Ian Charest retweeted
There are only TEN DAYS left to submit your proposal for a GAC at CCN 2022!
“A GAC?“, you say. “What’s a GAC?”
Allow us to explain… 🧵👇(1/n)
Ian Charest retweeted
Come see our VSS poster #36.343 tomorrow PM! We extend our previous method to now uncover the level of abstraction of visual representations in different tasks/contexts. #VSS2022
Ian Charest retweeted
IT IS NOT A PREPRINT ANYMORE!
You find the published paper here:cell.com/current-biology/ful…
Huge THANKS to @AlexChatburn @IanCharest George Balanos and of course to @BStaresina. We would also like to thank the reviewers who gave valuable comments that massively improved the paper!
🔔Check out our new preprint! We show that sleep spindles track cortical learning patterns for memory consolidation. Great teamwork with @AlexChatburn @IanCharest George Balanos and @BStaresina.
biorxiv.org/content/10.1101/…
Ian Charest retweeted
Get higher SNR in single-trial fMRI. We show substantial impact on downstream analyses. Pre-print: biorxiv.org/content/10.1101/…. Toolbox (Matlab and Python): glmsingle.org. Led by @_jacobprince_ and w/ @IanCharest @JanKurzawski @JohnAPyles @TarrLab
Ian Charest retweeted
Latest lab work in @NatureNeuro. The Natural Scenes Dataset, a deep (large-data-per-subject) 7T fMRI neuroimaging resource for vision and memory, coupled with optimized single-trial estimation methods. For people who are good with data. nature.com/articles/s41593-0…























