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!
30.10.2025 16:56 — 👍 2 🔁 1 💬 1 📌 0
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 🚀
30.10.2025 16:56 — 👍 4 🔁 1 💬 1 📌 1
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 🤖.
30.10.2025 16:56 — 👍 4 🔁 1 💬 0 📌 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.
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/🧵
07.08.2025 20:30 — 👍 14 🔁 9 💬 1 📌 0
🌟 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. 🎉
28.11.2024 18:52 — 👍 5 🔁 0 💬 0 📌 0
"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
27.11.2024 14:13 — 👍 266 🔁 106 💬 19 📌 19
Associate professor @ Université Laval - IID - Mila
Interested in reinforcement learning, bandits, partial monitoring, active learning, ... anything that learns by getting its own data from the environment!
London-based neuroscientist 🧠 & research software engineer 💻 developing free and open-source tools for studying brains & behaviour, @neuroinformatics.dev @sainsburywellcome.bsky.social at UCL.
Committed to open, collaborative, and reproducible science.
International, member-supported, non-profit association that brings together scientists, clinicians, healthcare providers, and policymakers to stimulate and support the study of pain and to translate that knowledge into improved pain relief worldwide.
Professor of Linguistics and Psychology, New York University
#SNL2026 September 29 - October 2, 2026, Geneva, Switzerland. The Society for the Neurobiology of Language (SNL), founded in November 2010, is a NIH funded non-profit org…
skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning.
Our long-term goal is to directly connect database tables to machine learning estimators.
https://skrub-data.org
https://discord.gg/ABaPnm7fDC
Neuroscientist. Assistant Professor at Scripps Research.
https://www.ran-lab.org
comp neuro assistant prof at columbia
Neuroscientist and painter | group leader at SIDB, University of Edinburgh | SCGB BTI Fellow | Prediction and Plasticity lab
Neuroscientist. Long-form opinions at https://markusmeister.com.
Assistant Professor of Physics & Neuroscience at Princeton University. Studying how C. elegans nervous system processes information to generate actions.
Neuroscientist @Janelia, HHMI
www.ahrenslab.org
comp neuro prof @ Princeton
brains, machine learning, & postmodern angst
pillowlab.princeton.edu
Neuroscientist at U Chicago
Associate Prof at UW. Neural interfaces, motor learning, engineering learning.
Believe it or not, my last name has two R's and zero E's.
She/her
Neuroscientist studying how the brain makes decisions, solves problems, and navigates complex reasoning. Curious about the mysteries of the mind and always ready to connect over science, ideas, and discovery.
UCSD professor of neurobiology and neurosciences
Neuroscientist. Professor at Harvard University.
Studies the neural mechanisms underlying decision-making and learning. Dopamine.
Associate Professor, Department of Psychology, Harvard University. Computation, cognition, development.
