Payam Piray

@payampiray.bsky.social

Computational neuroscientist. Assistant professor @USC psychology. Previously @Princeton and @Donders www.piraylab.com

We review studies showing that when brain areas face similar computational demands in social and non-social context, they perform the same computations. We argue that exaptation (repurposing of traits for new functions) played a key role in brain evolution.

Nature Reviews Neuroscience@natrevneuro.nature.com · 6mo ago

Computational origins of cortical brain circuits for social cognition — a Perspective article by Ali Mahmoodi & Matthew F. S. Rushworth @alimahmoodi.bsky.social #neuroscience #neuroskyence www.nature.com/articles/s41...

Thrilled that my paper is out in the @nature.com. We explored how the brain builds complex tasks by compositionally combining simpler sub-task representations. The brain flexibly performs multiple tasks by dynamically reusing neural subspaces for sensory inputs and motor actions rdcu.be/eRVUk

Building compositional tasks with shared neural subspaces

Nature - The brain can flexibly perform multiple tasks by compositionally combining task-relevant neural representations.

rdcu.be

New paper with @nathanieldaw.bsky.social in Nature Communications: an RL model that builds a successor map compositionally. The new model plans as well as the best models, and it links components of the map used for planning to neural codes in the medial entorhinal cortex. rdcu.be/eAofi

Reconciling flexibility and efficiency: medial entorhinal cortex represents a compositional cognitive map

Nature Communications - How the brain creates compositional cognitive maps that support both flexible and efficient planning remains poorly understood. Here, authors propose a...

rdcu.be

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

Discovering cognitive strategies with tiny recurrent neural networks - Nature

Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

doi.org

new paper from a collaborative endeavor! (@co0p3r.bsky.social) we find & replicate food-reward biases in a reinforcement learning task (where food stim are incidental) people with eating disorder symptoms show a low-calorie food bias while those without show a high-calorie food bias... (1/3)

Eating disorder symptoms and emotional arousal modulate food biases during reward learning in females - Nature Communications

Disordered eating can disrupt the rewarding value of food. Here, the authors show in a female sample that eating disorder symptoms, emotional arousal, and interoceptive awareness modulate goal-ir...

nature.com

X’s (it is definitely X not twitter) “For you” tab should be called 'Not for you'! Meanwhile, Bluesky feels like a cozy science cafe! 🧠☕️ Computational neuro/psychiatry folks, NeuroAI enthusiasts, cognitive science/neuroscience students - let's build this community!