Jasmine Stone

PhD candidate @ColumbiaNeuro @cu_neurotheory with Ashok Litwin-Kumar. Formerly with @johndmurray @YaleCompsci and @GJEHennequin @Cambridge_Uni.

[Jasmine Stone @syncrostone]

What do moonwalking flies teach us about fear, avoidance, and the brain? Come to my short talk and lab visit in #nyc @ZuckermanBrain @Columbia next Tues 7pm to find out!

https://t.co/VfNhsSzTQW

[Jasmine Stone @syncrostone]

Interested in dopaminergic learning, interaction of appetitive and aversive learning systems, & history-dependent modulation of learning? Come by my #cosyne2026 poster tomorrow! Now with a general model also applicable to striatal learning in mammals.

[Oliver Barnstedt @obarnstedt]

This was such a great project led by the hard-working PhD student @fatima1amin and @syncrostone from Gerber and Litwin-Kumar labs and further collab with @ikadow, @OwaldD, @SalilBidaye labs.
We demonstrate circuit mechanisms for action🏃‍♀️--> ☹️valence relationships in Drosophila!

[Jasmine Stone @syncrostone]

Now with #RLDM2025!

[Jasmine Stone @syncrostone]

Excited to speak @RLDMDublin2025 later today! Find me at poster #74 after.

[Guillaume Hennequin @GJEHennequin]

Exciting postdoc position between the labs of @lengyel_m + @GJEHennequin (Cambridge U) and @DMWolpert (Columbia U) to study the neural network mechanisms of context-dependent (continual) motor learning. Máté and I will be at Cosyne, come talk to us! https://t.co/ihBcer1SH9

[Jasmine Stone @syncrostone]

#COSYNE24 @CosyneMeeting

[Jasmine Stone @syncrostone]

Just landed in Lisbon🇵🇹 for #Cosyne2024! Stop by my poster tonight to chat about dopamine, reinforcement learning, drosophila, and avoidance behavior serving as reinforcement.

[1-129] Reinforcement of valence through action

[Jasmine Stone @syncrostone]

Thank you for this spotlight! @ZuckermanBrain

[Columbia University's Zuckerman Institute @ZuckermanBrain]

(1/6) A violinist and former synchronized swimmer, Jasmine Stone has spent a lot of time considering not only how we learn to move, but how our movements inform our learning. 🎻🧠 🏓

📷 Stone explains how brain networks are connected.

[Stefano Fusi @StefanoFusi2]

A fantastic course with a great tradition! Honored to direct it together with @roozbeh_kiani. Thanks to Xiao-Jing Wang, Steve Baccus and all the previous directors, and of course, thanks to the @MBLScience team. Apply here: https://t.co/58WScApR6g

[Roozbeh Kiani @roozbeh_kiani]

Apply to join MBL's Computational Neuroscience Course! Learn from experienced lecturers, dive into hands-on exercises, join a vibrant community, and enjoy a delightful summer month in scenic Woods Hole. Deadline: Feb 28. Help spread the word!

[Kristopher Torp Jensen @KrisTorpJensen]

Recently wrote an introduction to reinforcement learning for neuroscience that I just put on arXiv for those who might find it useful: https://t.co/ju05RiROCs

It also includes a Google Colab with all the code: https://t.co/zxXOXNH9gS

[Isabel Bravo @Isabel_M_Bravo]

So much fun presenting with @syncrostone at #SfN23

[Ramon Nogueira @RNogueiraNeuro]

I am very excited to announce that I will start my own lab at the Grossman Center at @UChicago_Brains in late winter 2024! I am looking forward to working alongside with its members and the rest of the Dept. of Neurobiology. I'll start hiring soon, reach out if interested!

[Gatsby Computational Neuroscience Unit @GatsbyUCL]

We are delighted to announce that Dr Agostina Palmigiano (@APalmigiano) will join the Gatsby Unit as Lecturer in January, developing data-driven theoretical approaches to uncover neural mechanisms underlying cognitive functions.
Learn more at https://t.co/sJaIdH1YWw

[Valeria Fascianelli @VFascianelli]

The new version of our work on individual differences is out! Honored to share this work w/ @aldo_battista @faffofratello Satoshi Tsujimoto @AldoGenovesio and @StefanoFusi2 ! What’s new?👇🧵

https://t.co/vzN5Dd5VaK

[Columbia University's Zuckerman Institute @ZuckermanBrain]

Check out @NatureNeuro September issue’s cover, featuring new research by @zuckermanbrain's Sam Muscinelli @SMusciMol and Ashok Litwin-Kumar:

#sciart #neuroscience

[Matthew Phillips @Phillips_M_G]

Forcing Python to no longer be open-source would be a true disaster from the EU

From today's @bensbitesdaily

[Marine Schimel @marineschimel]

Very excited to share our recent work w/ @kao_calvin & @GJEHennequin! We investigated when & why motor preparation arises in RNN models of motor control. Is preparation optimal for RNNs performing delayed reaching tasks? Spoiler: it is! (1/5) https://t.co/EuaEQ3uGdw

[Gal Mishne @gmishne]

Please RT! We're #hiring a #postdoc to develop graph-based models and high-dimensional ML methods to analyze dynamical networks. Collab w/@schoeneberglab @FleurMFerguson using cutting-edge 4D lattice light-sheet imaging. Join our multi-disciplinary team!
https://t.co/VcZf5XfmP5