Excited to share our preprint on how dopamine neurons perform the key calculations in reinforcement learning! https://t.co/vbPZCkjPCj

KSBNS2025-CJK3 meeting is around the corner! The official app is now available. Looking forward to seeing you this weekend! ⁦@KsbnsNeuro⁩ #KSBNS #neuroscience

Thanks a lot to the team - Mijoo, Jongwon, Hogyu, and all the other lab members who helped on this!

The first manuscript based on my lab's data! We show that dopamine activity in the ventral striatum encodes moment-by-moment temporal-difference error during aversive situations, suggesting that dopamine serves as a unified teaching signal across valences.

Our work with @pablo_tano8 , @HyungGoo_Kim @AtharNMalik @pouget_alex and Nao Uchida exploring how dopamine neurons could enable multi-timescale reinforcement learning in the brain is out in @Nature https://t.co/dBpTuYiOsC

Understanding Dopamine Neurons on Multiple Timescales @paul_masset @pablo_tano8 @Nature @HyungGoo_Kim @AtharNMalik @pouget_alex @RachelleGaudet @VMurthyLab @DulacLab @Nature https://t.co/q2DgKbWTt4

Glad to see my friend and colleague @malcgcamp here - Hopefully, your work gets out soon !

The first paper from the lab! In collaboration with @HyungJinChoi_ , we derived the need and motivation component from homeostatic RL, and showed that AgRP neurons and lateral hypothalamus LepR neurons encode need and motivation, respectively.

Excited to share our updated preprint on the neural basis of foraging decisions! This work was co-led by Michael Bukwich (twitterless, now at UCL) and me, with major contributions from co-authors, and the incredible animation is by @KJHerr23. (1/12) https://t.co/GopGdBoVly

🎉 Newly Initiated Happy Brain Fund Raising in CNIR We are thrilled to announce that Prof. Seong-Gi Kim, Director of CNIR, has pledged a total of 3 billion KRW to the newly established Happy Brain Fund. @SeongGi_Kim #CNIR_IBS

Leaving the lab to start your postdoc

Jim Simons: "My algorithm has always been: you get smart people together and you give them a lot of freedom. Create an atmosphere where everyone talks to everyone else. Provide the best infrastructure. And make everyone partners. That was the model that we used in Renaissance."

the title of LeCun's slide says it all.

Now it's official - I am very much looking forward to working with @hakwanlau! This is a great opportunity if you are interested in high-level cognition in humans!

This is a super interesting study about the neural substrates of distributional reinforcement learning in the brain. I am thrilled to see this is out! @Adam_Lowet, Congrats!

How can animals learn from rewards across timescales? Our work with @pablo_tano8 @HyungGoo_Kim @AtharNMalik @pouget_alex @naoshigeuchida explores how dopamine neurons could enable multi-timescale reinforcement learning in the brain https://t.co/8L57fsar7U

Hey #SfN23 ! Want to hear about temporal representations, dopamine and reinforcement learning? Come see our poster TT26 on Wednesday 15th morning with @pablo_tano8 @HyungGoo_Kim @AtharNMalik @pouget_alex @naoshigeuchida #SfN2023

If you are interested in how you finally decide to leave the couch and grab something to eat or like the interplay between theory and experiments, please have a look!

Excited to share the first work done in the lab, in collaboration with @HyungJinChoiSNU. We used homeostatic theory to dissociate previously intermingled psychological components, 'need' and 'motivation' in the hypothalamus.

Congrats @MengxiYun! It's been fun to work with you. Hope you keep doing wonderful stuff!