Excited to give a talk at #Cosyne2026 about my PhD work!
We show that RNNs trained on visual search converge on brain-like solutions, producing primate-like behavior and neural representations. Happy to chat if you're at Cosyne!
📅 March 15, 2026
📍 Lisbon, Portugal
www.biorxiv.org/content/10.1...
📢📢 Announcing this year's conference on the Mathematics of Neuroscience & AI (Rome, 9-12th June). We’ve got a stellar line-up and venue, and invite everyone to join:
www.neuromonster.org
Spread the word: I'm looking to hire a postdoc to explore the concept of attention (as studied in psych/neuro, not the transformer mechanism) in large Vision-Language Models. More details here: lindsay-lab.github.io/2025/12/08/p...
#MLSky #neurojobs #compneuro
In this piece for @thetransmitter.bsky.social, I argue that ecological neuroscience should leverage generative video and interactive models to simulate the world from animals' perspectives.
The technological building blocks are almost here - we just need to align them for this application.
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Thrilled to start 2026 as faculty in Psych & CS
@ualberta.bsky.social + Amii.ca Fellow! 🥳 Recruiting students to develop theories of cognition in natural & artificial systems 🤖💭🧠. Find me at #NeurIPS2025 workshops (speaking coginterp.github.io/neurips2025 & organising @dataonbrainmind.bsky.social)
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🚨Thrilled to share "Caption This, Reason That", a #NeurIPS2025 Spotlight! 🔦
Meet us at #2112, 3 Dec 11 a.m.
We analyze VLM limitations through the lens of Cognitive Science (Perception, Attention, Memory) and propose a simple "Self-Captioning" method that boosts spatial reasoning by ~18%.
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I’m looking for interns to join our lab for a project on foundation models in neuroscience.
Funded by @ivado.bsky.social and in collaboration with the IVADO regroupement 1 (AI and Neuroscience: ivado.ca/en/regroupem...).
Interested? See the details in the comments. (1/3)
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Here is a link to the preprint with the model that was human-like but unfortunately I have not pursued/formalized the fully supervised vs RL direction. It was just sth I saw in practice. Would be cool to look into that though!
Preprint: www.biorxiv.org/content/10.1...
We also saw a similar trend when training AANs to do visual search. With supervised training, they solved the task but followed strange non-human-like strategies, while with RL training, their behaviour (and neural representations) aligned with the brain.
We’ll be at CCN next week with two posters, one contributed talk and one satellite talk! If you are interested in neural coding in primate hippocampus, modeling visual search, or cortical topography come and talk to us! See👇for details:
