Hua Tang
@hua_ibrain
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🌟ON THE JOB MARKET🌟. Postdoc @NIMHgov, studying (reinforcement) learning and (working) memory. BBRF Young Investigator & NIH CCB Fellow.
Bethesda, MD
Joined June 2011
I am glad to share our @BrunoAverbeck @rbartolo_phd recent work published in @NeuroCellPress. We examined the neural mechanisms involved in learning from the gains and losses of symbolic reinforcers in the ventral frontostriatal circuitry. 🧠
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RT @OneNeuroJHU: "Ultimately, what really interests me are the important features of neural activity that make our complex thought possible…
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RT @CMZiemba: The long gestating final chapter of my thesis is out in @SfNJournals this week as a featured cover article. Thanks to all…
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RT @VincentCostaPhd: Check out @CostaNeuroLab posters (now @EmoryUniversity) at #SfN2024 from @k_rothenhoefer & @MicTott in collab w/ @mart…
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I will present a poster at #sfn2024, to show how reinforcement learning induces neural circuit plasticity. It is a follow-up study of our recently published work If you liked the paper, you would enjoy the poster too. Please stop by if you are interested~
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RT @decisionneurop: Ventral frontostriatal circuitry mediates the computation of reinforcement from symbolic gains and losses https://t.co/…
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The most exciting part comes from the network dynamics analysis, which used simultaneously recorded ensembles from four areas. We found that information about token updating flows from the OFC to VS through MDt. I hope you enjoy reading it. We'd be grateful for your feedback! 😄
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RT @erinLrich: It's finally out, on Joe's last day in the lab before heading off to postdoc! We asked whether a putative "social" brain…
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I will present this work tomorrow morning at the AMS meeting in DC. Please stop by if you are also attending the symposium. 😄
New preprint with @rbartolo_phd and @BrunoAverbeck.🐵😀 Network computations underlying learning from symbolic gains and losses @biorxiv_neursci
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In sum, this study reveals the neural mechanisms involved in learning from gains vs. losses in the ventral cortico-striatal-thalamo-cortical network. I hope you enjoy reading this manuscript. We'd be grateful for your feedback on the study! 😀
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