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 […]
New #neuroforecasting #megaanalysis suggests that effective messages recruit #reward and #mentalizing circuits -- in individuals and at scale!
Though there's much yet to learn, this collaboration (headed by Christin Scholz and Hang-Yee Chan, and guided by Emily Falk) offers encouraging support […]
Thanks and kudos to Nick Weiler for wrangling my enthusiastic ramblings into a coherent narrative that hopefully conveys my optimism about the past (first half) and future (second half) of #neuroforecasting (on #Stanford 's Wu Tsai Neurosciences Institute award-winning podcast!) […]
🧠Your brain knows what you'll buy before you do.
New research from RSM & Stanford shows that brain scans from just 40 people can predict market success better than surveys. Emotional responses in the brain’s reward centre beat conscious choice. lnkd.in/eshpC7jb
#Neuroforecasting #MarketingInnovation
Our latest paper on #Neuroforecasting is out at @pnasnexus.org (w/ Brian Knutson and Lester Tong)
A short 🧵
tinyurl.com/e4279exp
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 […]
This was the first study revealing the potential of #EEG for what is called #neuroforecasting. Since then, there have been several papers reporting similar findings; however, the exact metrics that were found to be predictive differed across these studies.
