Research Scientist in the Dudman lab @HHMIJanelia. PhD @Oxford, BSc @RoyalHolloway.
dopamine | foraging | decision-making | hippocampus | reinforcement learning
🧠🧪👩🔬🐭💻
Wondering what mice are thinking about.
Laura Grima
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Story time friends...
Ring attractor networks rely on fine-tuned symmetric connectivity.
The fly head direction network has ring attractor dynamics but heterogeneous connectivity.
How is this possible? 1/🧵
Link: www.biorxiv.org/content/10.6...
Brad Hulse
@fluketc.bsky.social and @dudman.bsky.social have hit it out the park again. In my (perhaps biased) opinion this - along with their previous papers - is field-defining work. www.science.org/doi/10.1126/...
Standard animal learning studies minimize individual reward magnitudes to maximize the repetitions of reinforced behaviors. We investigated how reward magnitude influences initial learning across five...
Excited to share our new paper accepted at ICML 2026 with @tyrellturing.bsky.social and Doina Precup!
🇰🇷 See you in Seoul.
A major challenge in continual reinforcement learning is balancing:
• plasticity (learning new things)
• stability (not forgetting old ones)
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1/15
1/ 🚨🚨Preprint alert!
"Perfect" isn't always smart 🧠. Anyone can tell apart two stimuli (including our mice). But how do we extract rules that apply to new stimuli? 🧵
biorxiv.org/content/10.6...
@marius10p.bsky.social @computingnature.bsky.social
#neuroAI #neuroscience #AI
