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Hi! I wanted to share a #tweeprint of the results in my first postdoc paper, "Emergence of belief-like representations through reinforcement learning", with my new friends Sam Gershman @naoshigeuchida Sandra Romero Pinto Scott Linderman (1/n) biorxiv.org/content/10.110…

which model should I use to fit my decision-making data? a cheat sheet (I wrote this for a talk years ago and just rediscovered it)

Thrilled to announce the symposium titled "Exploring Natural Intelligence: Perspectives on brain evolution, development, and organization" with an awesome lineup: Paul Cisek, Celeste Kidd, @moira_dillon, Casey Paquola, Se-Bum Paik, and Alex Jordan! Stay tuned!

📢Our paper about prior expectation is finally out in Science Advances! Expectation-induced neural modulation in visual area MT accounts for reduced variability in sensorimotor behaviors. science.org/doi/10.1126/sc…

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

Hey #SfN23 ! Want to hear about temporal representations, dopamine and reinforcement learning? Come see our poster TT26 on Wednesday 15th morning with Pablo Tano HyungGoo Kim Athar N Malik, MD, PhD Alexandre Pouget @naoshigeuchida #SfN2023

How can animals learn from rewards across timescales? Our work with Pablo Tano HyungGoo Kim Athar N Malik, MD, PhD Alexandre Pouget @naoshigeuchida explores how dopamine neurons could enable multi-timescale reinforcement learning in the brain biorxiv.org/content/10.110…

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!

Now it's official - I am very much looking forward to working with hakwan lau 🇺🇦 @hakwan.bsky.social! This is a great opportunity if you are interested in high-level cognition in humans!

the title of LeCun's slide says it all.

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."

Leaving the lab to start your postdoc

🎉 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. Seong-Gi Kim #CNIR_IBS

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 Kristian J Herrera. (1/12) biorxiv.org/content/10.110…

The first paper from the lab! In collaboration with Hyung Jin Choi , 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. science.org/doi/10.1126/sc…

Glad to see my friend and colleague Malcolm Campbell here - Hopefully, your work gets out soon ! mailchi.mp/brain.harvard.…

Understanding Dopamine Neurons on Multiple Timescales Paul Masset Pablo Tano nature HyungGoo Kim Athar N Malik, MD, PhD Alexandre Pouget Rachelle Gaudet MurthyLab at Harvard Catherine Dulac nature mcb.harvard.edu/department/new…

Our work with Pablo Tano , HyungGoo Kim Athar N Malik, MD, PhD Alexandre Pouget and Nao Uchida exploring how dopamine neurons could enable multi-timescale reinforcement learning in the brain is out in nature nature.com/articles/s4158…