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Isil Bilgin

@complexbrains.bsky.social

224 followers 298 following 1 posts

Mathematician, Postdoctoral Researcher @CNeuromod, Carnegie Mellon & CRIUGM, Montreal. Works on Brain encoding, LLMs, Interpretability, NeuroAI, My opinions belong to a sentient 😏

Posts Replies Media

Reposted by Isil Bilgin

Hao-Ting Wang @haotingwang.bsky.social · 30/10/2025

We have two exciting talks at CRIUGM in November! Details attached 👇 Remote attendance via Zoom available! Scan the QR codes in the flyers to get the link! Please repost and join the talk!

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Reposted by Isil Bilgin

Hao-Ting Wang @haotingwang.bsky.social · 30/10/2025

On November 5th at noon Eastern Time, I will be talking about my research from my roots in mind wandering 💭 and functional connectivity 🧠 to current work in biomarker 🩺, and how I will connect the two through neuroinformatics and data science 🚀

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Reposted by Isil Bilgin

Hao-Ting Wang @haotingwang.bsky.social · 30/10/2025

On November 26th noon ET, @complexbrains.bsky.social will present her talk titled " Aligning Brains and Language Models: Toward a NeuroAI Framework for Brain-Grounded Language Understanding". The project combined @cneuromod.ca dataset 🧠🧑‍🤝‍🧑 and AI 🤖.

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Reposted by Isil Bilgin

Courtois Project on Neuronal Modelling @cneuromod.ca · 07/08/2025

In 2019, the CNeuroMod team and 6 participants began a massive data collection journey: twice-weekly MRI scans for most of 5 years. Data collection is now complete! 1/🧵

Poster titled "Neuromod: The Courtois Project on Neuronal Modelling" with logos from Université de Montréal and the Centre de recherche de l'Institut universitaire de gériatrie de Montréal.

Large bold text reads:
6 BRAINS – 987H-fMRI – 18 TASKS
Followed by the subtitle:
Naturalistic & Controlled – Multimodal / Perception + Action
Each letter in "18 TASKS" contains thumbnails from various visual tasks.

The central table summarizes 32 datasets grouped by primary domain (Vision, Audition, Language, Memory, Action, Other). For each dataset, the table indicates which stimulus modalities were used (Vision, Speech, Audio, Motion), what responses were collected (Physiology, Eye tracking, Explanations, Actions), and how many sessions and subjects were scanned. The overall visual style is playful and bold, with rainbow colors for modality types and rich iconography indicating data types.

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Isil Bilgin @complexbrains.bsky.social · 28/11/2024

🌟 Excited to share that this exciting work is finally out! 💫 It’s been an honor collaborating with such a diverse, brilliant team and engaging in incredible discussions throughout this journey. 🎉

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Reposted by Isil Bilgin

Bradley Love @profdata.bsky.social · 27/11/2024

"Large language models surpass human experts in predicting neuroscience results" w @ken-lxl.bsky.social and braingpt.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s41... 1/8

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