Paul Masset
@paul_masset
Assistant Professor @mcgillu Affiliate Member @Mila_Quebec | Neuroscience and AI, learning and inference, dopamine and cognition
Really excited to announce that I'll be starting at McGill @mcgillu as an Assistant Professor in the Department of Psychology @McGillPsych in January 2024! My lab will combine theoretical and systems neuroscience to explore the structure of distributed neural representations
Mapping the projectional architecture of the mouse midbrain dopaminergic system using cell type-specific barcoding biorxiv.org/content/10.110… #biorxiv_neursci
👨💻 Open PI position in our institute 👩💻 !! If you are an expert in Computational Neuroscience and want to start your lab in Bordeaux, contact us ! fens.org/careers/job-ma… @NCMagendie @Neuro_Bordeaux bsky.app/profile/anna-b…
🌟 What an opportunity to do exceptional research with an exceptional PI!
My research group is recruiting MSc and PhD students at the University of Alberta in Canada. Research topics include generative modeling, representation learning, interpretability, inverse problems, and neuroAI. If interested, check my website and consider applying.
I am joining @UAlberta as a faculty member and @AmiiThinks this June! Excited to build my research group, working at the intersection of inverse problems, representation learning, generative models, interpretability, and neuroAI for emergent intelligence. 1/
We have released VARS-fUSI: Variable sampling for fast and efficient functional ultrasound imaging (fUSI) using neural operators. The first deep learning fUSI method to allow for different sampling durations and rates during training and inference. biorxiv.org/content/10.110… 1/
Don’t miss the panel on computational neuroscience at #HBHLSymposium2025 on May 7, 2025! Join experts from @mcgillu, @CAMHnews & @WesternU as they explore the future of the field. 🧠 Register now: mcgill.ca/x/iwgm @marieke_mur @paul_masset @cognemo_andreea @tyrell_turing
Blog post by @dunbar_ba , @SaraM306 and @BTolooshams on our recent @NeuroCellPress paper proposing a new deconvolutional method based on algorithm unrolling to anlayze neural data across recording modalities
New in the Deeper Learning blog: The Kempner’s Demba Ba explains his team’s recent Neuron paper on DUNL, a deep learning framework that tames the complexity of brain data. bit.ly/KempnerDUNL @dunbar_ba @BTolooshams @paul_masset @NaoshigeU @dunbar_ba, @VMurthyLab #ML
1/ Why do late-stage cancer patients lose motivation & sink into apathy? 🔥Our new Science paper shows cancer activates a cytokine-sensing brain circuit to lower motivation.Great work by Aelita Zhu @sarahstarosta @Pignatelli_Lab @JanowitzTobias &team!🧵 🔗 doi.org/10.1126/scienc…
The PhD thesis of my _first_ PhD student, Doina Precup, is at-long-last available in digital form. Title: Temporal Abstraction in Reinforcement Learning Url: incompleteideas.net/papers/Precup_… Abstract: Decision making usually involves choosing among different courses of action over a…