Now out in @pnasnexus.org@bsky.app :
" reveals generalizable components of choice" (link below)!

Led by the intrepid Alex Genevsky , we examined how deep brain activity (in the Nucleus Accumbens or ) can forecast choices out of sample in much larger groups (e.g., in and markets).

We found that while behavioral forecasts depended on demographic match, neural forecasts (from the NAcc) did not, potentially supporting inferences from smaller samples. So, beyond considering of a sample, researchers might also benefit from considering representativeness of different choice components.

Thanks to the Wu Tsai Neurosciences Institute Initiative for support, to the reviewers for constructive suggestions, and to for a smooth publishing experience!

academic.oup.com/pnasnexus/art

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