Robert Hawkins

@rdhawkins.bsky.social

asst prof @Stanford linguistics | director of social interaction lab 🌱 | bluskies about computational cognitive science & language

The myth of the lone genius still dominates how we talk about science. But modern science now runs on large, coordinated teams. Big teams make big scientific breakthroughs. In a new piece for @APS I share 4 lessons for making big-team science work: www.psychologicalscience.org/publications...

Four Insights to Guide Big-Team Science Projects

APS Fellow Jay Van Bavel describes four principles for building effective large-scale collaborations.

psychologicalscience.org

Our paper "Redundant prefrontal hemispheres adapt storage strategy to working memory demands" is finally out in Nature Communications! We combined bilateral PFC recordings, modeling and human data to ask: How do the hemispheres work together to store information?1/n www.nature.com/articles/s41...

Redundant prefrontal hemispheres adapt storage strategy to working memory demands - Nature Communications

Neural mechanisms underlying spatial working memory are not fully understood. In this manuscript, simultaneous bilateral monkey recordings and attractor networks show how weakly coupled, redundant pre...

nature.com

We’re recruiting a full-time lab manager to join the Shared Minds Lab at USC! This will be a great opportunity for someone who wants to get hands-on experience with research before starting a PhD program in psychology or neuroscience. More below:

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New preprint! Taking inspiration from ML where train-test split is critical to show that an agent is generalizing rather than just memorizing, we did some experiments that suggest mice have an inductive bias towards generalization. Led by an amazing graduate student Ningjing Xia. See what you think!

An inductive bias for generalization in mouse olfactory learning

Animals must generalize from limited experience, yet behavioral experiments in the laboratory setting rarely assess whether or how rapidly they generalize. This contrasts with machine learning systems...

biorxiv.org