Now out in @pnasnexus.org@bsky.app :
"#Neuroforecasting reveals generalizable components of choice" (link below)!
Led by the intrepid Alex Genevsky , we examined how deep brain activity (in the Nucleus Accumbens or #NAcc ) can forecast choices out of sample in much larger groups (e.g., in #crowdfunding and #videoviewing 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 #representativeness of a sample, researchers might also benefit from considering representativeness of different choice components.
Thanks to the Wu Tsai Neurosciences Institute #Neurochoice Initiative for support, to the reviewers for constructive suggestions, and to #PNASNexus for a smooth publishing experience!
https://academic.oup.com/pnasnexus/article/4/2/pgaf029/8016018