bk<p>Now out in @pnasnexus.org@bsky.app : <br>"<a href="https://sfba.social/tags/Neuroforecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neuroforecasting</span></a> reveals generalizable components of choice" (link below)!</p><p>Led by the intrepid Alex Genevsky , we examined how deep brain activity (in the Nucleus Accumbens or <a href="https://sfba.social/tags/NAcc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NAcc</span></a> ) can forecast choices out of sample in much larger groups (e.g., in <a href="https://sfba.social/tags/crowdfunding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>crowdfunding</span></a> and <a href="https://sfba.social/tags/videoviewing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>videoviewing</span></a> markets). </p><p>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 <a href="https://sfba.social/tags/representativeness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>representativeness</span></a> of a sample, researchers might also benefit from considering representativeness of different choice components.</p><p>Thanks to the Wu Tsai Neurosciences Institute <a href="https://sfba.social/tags/Neurochoice" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neurochoice</span></a> Initiative for support, to the reviewers for constructive suggestions, and to <a href="https://sfba.social/tags/PNASNexus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PNASNexus</span></a> for a smooth publishing experience!</p><p><a href="https://academic.oup.com/pnasnexus/article/4/2/pgaf029/8016018" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">academic.oup.com/pnasnexus/art</span><span class="invisible">icle/4/2/pgaf029/8016018</span></a></p>