#pnasnexus — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #pnasnexus, aggregated by home.social.
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New #neuroforecasting research out in #PNASNexus : "Brain activity reveals how wildlife imagery evokes engagement on social media"!
Partnering with #NationalGeographic, we found that group brain activity in the Medial PreFrontal Cortex (MPFC) forecast image popularity on their social media feed (as did subjects' "like" ratings).
Further, correlated activity in #face processing (FFG) and #mentalizing (rTPJ) implied that socioemotional features might drive image popularity, verified by modeling the impact of these features on the popularity of out-of-sample images.
Thus, beyond forecasting, brain activity helped to clarify which image features drive popularity. Congratulations to steadfast coauthors Tara Srirangarajan , Nik Sawe , Cynthia Wu , and Tierney Thys and deep thanks to the #Stanford Woods Institute for continued support.
P.S. The news alert below illustrates our findings with the winning wildlife image, and links to the article:
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Now out in @[email protected] :
"#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