Constantinople Lab 🐀
@constan_lab
Researching the neural basis of computations that guide economic decision-making. Run by the trainees of Christine Constantinople’s lab @NYU_CNS.
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http://constantinoplelab.com/ 22-06-2020 20:03:02
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Really proud of this one. First paper with my amazing post-doc mentor Catherine Hartley. More in the thread. Hartley Lab Eran Eldar
Super proud of this tour de force preprint by Heejae Jang. Acetylcholine demixes heterogeneous dopamine signals for learning and moving. biorxiv.org/content/10.110…
Been years since my last post - here’s big news… Excited to announce that Stephen Zhang will join the community of our CNS faculty NYU Center for Neural Science to launch his independent research program! Ready to support and collaborate to help Stephen discover rules of biomolecular computation!
Important statement about #animalresearch with Monkeys by the Society for Neuroscience Society for Neuroscience (SfN) #ExperimentationAnimale #Tierversuche #Scicomm Link to full text ➡️sfn.org/advocacy/polic…
Today I toured Princeton Neuroscience Institute to learn more about the groundbreaking work they're doing to understand the human brain. Congress must provide robust support for these scientific pursuits, which may reveal solutions to mental illness, brain disease, and other neurological issues.
Our paper on the neurodevelopment of collective behavior in schooling Danionella is now published in Current Biology doi.org/10.1016/j.cub.…
My lab at NYU Center for Neural Science is recruiting trainees at all levels starting in Jan 2025! Our goal is to understand how behavioral variables such as calorie intake and time estimates are computed using molecules inside individual neurons. stephenzhanglab.org
Our paper on VNS and behavioral training is now out! nature.com/articles/s4159… From first author Katie Martin (now a postdoc with Matt Lovett-Barron) and part of the huge collaborative DARPA TNT project of yesteryear
We're looking forward to our talks and posters this Sunday at SfN! #sfn2024 #sfn24 Society for Neuroscience (SfN) Aster Q. Perkins Carla Golden
New paper from Andrew Mah and Carla Golden: “Dopamine transients encode RPEs independent of learning rates.” Rats’ dynamic learning rates approximate Bayesian changepoint detection. DA does not reflect dynamic learning rates. sciencedirect.com/science/articl…
Thank you so much for having me, Neuroscience Institute at NYU Langone Health, and for hosting me, Megan Kirchgessner, PhD! I had a great time learning from your amazing faculty. And it was great to be close enough for the Constantinople Lab 🐀 to come show their support!